[{"data":1,"prerenderedAt":433},["ShallowReactive",2],{"slug-a-physicians-visual-guide-to-artificial-intelligence":3},{"post":4,"relatedPosts":204,"relatedBooks":350},{"id":5,"date":6,"date_gmt":7,"guid":8,"modified":10,"modified_gmt":11,"slug":12,"status":13,"type":14,"link":15,"title":16,"content":18,"excerpt":21,"author":23,"featured_media":24,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":29,"categories":30,"tags":34,"project_category":53,"contact_email_category":59,"yst_prominent_words":60,"class_list":70,"better_featured_image":103,"acf":138,"yoast_meta":148,"_links":151},30251,"2023-03-21T10:00:00","2023-03-21T09:00:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=30251&_wpnonce=5c515a005c&status=auto-draft&type=post","2023-12-04T06:37:45","2023-12-04T05:37:45","a-physicians-visual-guide-to-artificial-intelligence","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fa-physicians-visual-guide-to-artificial-intelligence",{"rendered":17},"A Physician’s Visual Guide To Artificial Intelligence",{"rendered":19,"protected":20},"\n\u003Cp>Artificial intelligence (AI) is on course to usher \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fartificial-intelligence-and-the-art-of-medicine\u002F\" target=\"_blank\">the real era of The Art of Medicine\u003C\u002Fa>. By automating administrative tasks and aiding in decision-making, these smart algorithms promise to free up physicians’ valuable time; time that can be dedicated where the human touch is essential in healthcare. \u003C\u002Fp>\n\n\n\n\u003Cp>The technology is also attracting investors to fuel growth in the field. For 2025, the global market size for AI in healthcare is forecasted to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.statista.com\u002Fstatistics\u002F826993\u002Fhealth-ai-market-value-worldwide\u002F\" target=\"_blank\">skyrocket to $28 billion\u003C\u002Fa>. However, this increased interest is also leading to misleading information and hype around the technology. Companies falsely label their solutions as AI-based or inflate their tools’ performance to attract investors and clients. News headlines overuse the term to increase their audience engagement for the sake of sensationalism. It has thus become a tricky issue among physicians to separate the hype from the facts around AI in healthcare.\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-768x432.png\" alt=\"A.I. in medicine\" class=\"wp-image-23751\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F04\u002F065_compassionate_care_v2-512x288.png 512w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>As such, a concise guide to help medical professionals in better understanding the basics of AI and its potentials in medicine proves to be important. However, most of the guides available for this target are either too superficial, too detailed, or focus on only one medical specialty. A middle ground with easily digestible information on the basis of AI is hard to come by. \u003C\u002Fp>\n\n\n\n\u003Cp>The latest study from \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Ftmfinstitute.org\u002F\" target=\"_blank\">The Medical Futurist Institute\u003C\u002Fa> (TMFI) addressed this gap. Led by Bertalan Meskó, M.D., ‘\u003Cem>A Short Guide For Medical Professionals In The Era of Artificial Intelligence\u003C\u002Fem>’ was \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41746-020-00333-z\" target=\"_blank\">published in npj Digital Medicine\u003C\u002Fa>; \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fnew-study-the-state-of-artificial-intelligence-based-fda-approved-medical-devices-and-algorithms-an-online-database\u002F\" target=\"_blank\">the second TMFI paper\u003C\u002Fa> to be published in this high-level journal. You can read it in open access here and we are guiding medical professionals into the world of AI in this article as well.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Definitions and levels of AI, made simple\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Simply put, artificial intelligence refers to intelligence demonstrated by machines. Through algorithms, or a set of rules, which the machine follows, it mimics human cognitive functions such as learning and problem-solving. \u003C\u002Fp>\n\n\n\n\u003Cp>Philosopher \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fnickbostrom.com\u002F\" target=\"_blank\">Nick Bostrom\u003C\u002Fa> of the University of Oxford further expanded this definition to describe three major levels in the development of AI:\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Artificial Narrow Intelligence (ANI):\u003C\u002Fstrong> \u003Cbr>ANI features pattern recognising abilities in huge data sets, enabling it to solve text, voice, or image-based classification and clustering problems. It is an algorithm that can excel at a precisely defined, single task. While it can play chess better than any grandmaster, its IQ is zero. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Artificial General Intelligence (AGI):\u003C\u002Fstrong> \u003Cbr>AGI has yet to be achieved, but its cognitive prowess is one that reaches that of human levels. It can reason, argue, memorise and solve issues like you do.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Artificial SuperIntelligence (ASI):\u003C\u002Fstrong>\u003Cbr> Also a theoretical concept, ASI’s cognitive capacity compares to that of the whole of humanity, if not more. Humans would be unable to grasp its knowledge and understand ASI’s reasoning and the technology itself might be considered a threat. As such, many organisations work hard to avoid ever reaching this stage.\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-05-768x432.png\" alt=\"\" class=\"wp-image-30247\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-05-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-05-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-05-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-05.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>With these definitions and levels of AI development in mind, we can estimate an “ideal AI”. In the graphic above, this theoretical threshold is represented by the green dot; much more advanced than the current ANI but not at the level of AGI.\u003C\u002Fp>\n\n\n\n\u003Cp>From these definitions, we see that AI is itself a stratified technology, which currently is more widespread than ANI and has its limitations. Let’s now take a look at how the technology works and the means of doing so.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The human teacher and the AI child: The methods of AI\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Even with the seemingly mind-blowing prowess that AI is touted to boast every so often, the technology is nevertheless comparable to a child. Under appropriate human guidance, children will perform as supervised, even if not explicitly told what to do. In this scenario, AI developers are the teachers and AI is the child.\u003C\u002Fp>\n\n\n\n\u003Cp>Through machine learning (ML), developers enable algorithms to learn a task without being explicitly programmed for this particular task. By being fed with good quality and ample data, smart algorithms use ML techniques to identify patterns from the dataset and they excel at doing so. There are several ML subtypes and combined methods, but three major subtypes as well as an advanced method, deep learning (DL), are more relevant to healthcare. We elaborate upon these below.\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-03-768x432.png\" alt=\"\" class=\"wp-image-30243\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-03-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-03-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-03-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-03.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Ch4 class=\"wp-block-heading\">\u003Cstrong>1. Supervised learning\u003C\u002Fstrong>\u003C\u002Fh4>\n\n\n\n\u003Cp>This ML subtype is comparable to teaching a child exactly what to learn. It is used when the algorithm’s exact task can be precisely defined with the data at hand. In medical practice, it can look as follows. We have two patient groups, Group A and Group B, each with their own set of medical records. Group A’s set contains the family history, lab markers and other details of the diagnosis. Group B’s set consists of the same types of information, but the diagnosis is missing. We can train an algorithm with supervised learning to assign the right diagnosis to Group B, based on the associations and labels the algorithm learns about in Group A. This method is the most frequently used training mode.\u003C\u002Fp>\n\n\n\n\u003Ch4 class=\"wp-block-heading\">\u003Cstrong>2. Unsupervised learning\u003C\u002Fstrong>\u003C\u002Fh4>\n\n\n\n\u003Cp>As the name suggests, this method is akin to learning without a teacher. The starting tools are there, but the child decides on the end result. We provide different datasets to the algorithm and it finds associations on its own, even those we might not have thought about. Additionally, we do not modify the algorithm based on the outcome. Such a model can discover new drug-drug interactions or cluster patients according to the attributes they display.\u003C\u002Fp>\n\n\n\n\u003Ch4 class=\"wp-block-heading\">\u003Cstrong>3. Reinforcement learning\u003C\u002Fstrong>\u003C\u002Fh4>\n\n\n\n\u003Cp>Reinforcement learning shares similar features with unsupervised learning in that the starting tools are given to the “child” and it is left to make decisions on their own in order to achieve a task. However, unlike unsupervised learning, reinforcement learning involves input from the teacher. After a series of actions (but not after each action as with supervised learning), AI developers input their feedback to nudge the algorithm towards the best course of action. The issue with using this subtype in healthcare is that we cannot test out the algorithm on a large number of scenarios since patient lives are at stake.\u003C\u002Fp>\n\n\n\n\u003Ch4 class=\"wp-block-heading\">\u003Cstrong>4. Deep learning\u003C\u002Fstrong>\u003C\u002Fh4>\n\n\n\n\u003Cp>DL is an advanced subtype of ML that holds different potentials altogether. Its functioning is based on artificial neural networks (ANN), which is itself inspired by the neural network of the human brain. DL consists of a layered ANN structure where the more layers it has, the more complex tasks it can perform. Let’s say we are building a model to group patients based on their diagnosis. If the information reads “Type 1 Diabetes”, an ML algorithm will cluster medical records with “Type 1 Diabetes”. A DL algorithm on the other hand will be able to, with time, assign patients with only the “T1D” abbreviation mentioned in their records to the same group, without human input. Other ML subtypes will require manual input from the developers to recognise this abbreviation.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>How to separate hype from fact\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Now that we’ve been through the basics of AI, we can have a better understanding of how to look at the news and even studies around the technology. Indeed, as the infographic below depicts, the number of ML\u002FDL studies on Pubmed saw an exponential rise in the last decade:\u003C\u002Fp>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-01-768x432.png\" alt=\"\" class=\"wp-image-30239\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>As for online outlets reporting on the technology and inflating its potential, the number is even higher. To help you navigate the flood of news and filter out the hype from the facts, you can take the general steps below to better understand the impact of the technology in question:\u003C\u002Fp>\n\n\n\n\u003Ch4 class=\"wp-block-heading\">\u003Cstrong>1. It’s about the data\u003C\u002Fstrong>\u003C\u002Fh4>\n\n\n\n\u003Cp>If a study mentions the use of an AI-based technology, check the ‘Methods’ section to find out more about the types of data the authors used to train the algorithm. Without a large amount of quality data, an algorithm won’t be reliable. And such quality and quantity of data is obtainable through collaborations with clinicians and healthcare institutions. Certain researchers might amplify their dataset with some tricks that don’t improve the quality. For example, by rotating images, they can double their dataset size.\u003C\u002Fp>\n\n\n\n\u003Ch4 class=\"wp-block-heading\">\u003Cstrong>2. Clinical solutions for clinical problems\u003C\u002Fstrong>\u003C\u002Fh4>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small-768x432.png\" alt=\"artificial intelligence and COVID\" class=\"wp-image-27609\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-and-COVID-small.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>While state-of-the-art AI can scan medical data in a matter of seconds, its implementation in a clinical setting is a different story. If they aren’t easily implemented in clinical protocols or don’t provide straightforward results to the medical staff, then such AI might very well perform worse than human professionals in a real-world clinical setting.\u003C\u002Fp>\n\n\n\n\u003Cp>Still, on the matter of clinical settings, it’s important to know whether the algorithm in question was tested on real clinical data. If only pre-selected data was used in a study, the results might not translate similarly when tested on real clinical data.\u003C\u002Fp>\n\n\n\n\u003Ch4 class=\"wp-block-heading\">\u003Cstrong>3. Know your AI\u003C\u002Fstrong>\u003C\u002Fh4>\n\n\n\u003Cdiv class=\"wp-block-image\">\n\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002FAI-doctor-image-768x432.jpg\" alt=\"\" class=\"wp-image-28295\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002FAI-doctor-image-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002FAI-doctor-image-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002FAI-doctor-image-1536x864.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002FAI-doctor-image.jpg 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\u003C\u002Fdiv>\n\n\n\u003Cp>When aiming to create an AI-based tool, companies and researchers should mention the subtype of ML or DL used. They should also be able to detail the method used in its development. If they don’t make mention of these, it’s reason enough to be skeptical about their technology really involving AI.\u003C\u002Fp>\n\n\n\n\u003Cp>Similarly, when reading news mentioning the term “artificial intelligence”, try to look if the article describes the exact method behind this term. If it does not, it’s a sign that you should be cautious about the article’s claims.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Stay updated\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>While we aimed at providing an easily digestible guide with this article, we invite you to read more details about what medical professionals should know about AI in the latest study from Dr. Bertalan Meskó and Marton Gorog.\u003C\u002Fp>\n\n\n\n\u003Cp>We would also recommend keeping in touch with the latest developments in the medical AI field. From \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-sober-state-of-artificial-intelligence-in-the-fight-against-covid-19\u002F\" target=\"_blank\">managing the COVID-19 pandemic\u003C\u002Fa> through \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-future-of-prosthetics-depends-on-a-i\u002F\" target=\"_blank\">improving prosthetics\u003C\u002Fa> to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-curious-case-of-a-i-discovering-unusual-associations-in-medicine\u002F\" target=\"_blank\">unusual associations in medicine\u003C\u002Fa>, we are sure to hear more about A.’s contributions in healthcare. Rest assured that at The Medical Futurist, we will keep sharing the most exciting (and credible) applications and trends of the technology.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.thinkific.com\u002Fcourses\u002Fintroduction-to-artificial-intelligence-in-medicine-and-healthcare\">\u003Cstrong>And please don’t forget to check out the digital course we launched to better understand the basics of AI in medicine and healthcare.\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\n\n\n\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"10px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Ch3>\u003Cstrong>Introduction to Artificial Intelligence In Medicine And Healthcare\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Ciframe loading=\"lazy\" width=\"560\" height=\"475\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FiBWixWwn5Dk\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\">\u003C\u002Fiframe>\n\u003Cp>The course \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.thinkific.com\u002Fcourses\u002Fintroduction-to-artificial-intelligence-in-medicine-and-healthcare\" style=\"background-color: #e71d3299; color: #000;\">Introduction to Artificial Intelligence in Medicine and Healthcare\u003C\u002Fa> is designed to provide a comprehensive understanding of how artificial intelligence (AI) is revolutionizing the field of medicine and healthcare. It covers various AI applications, such as medical imaging analysis, diagnosis, drug discovery, patient monitoring, and personalized medicine.\u003C\u002Fp>\n\u003Cp>This course is suitable for healthcare professionals, researchers, students, and anyone interested in exploring the intersection of artificial intelligence and medicine. No prior programming or AI knowledge is required, as the course starts with the fundamentals and gradually builds up to more advanced concepts.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.thinkific.com\u002Fcourses\u002Fintroduction-to-artificial-intelligence-in-medicine-and-healthcare\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to preview the course for free\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp> \u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>This is the second study published in the prestigious Nature journal.\u003C\u002Fp>\n",16,30241,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33],504,521,516,[35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52],6181,636,6183,671,6185,747,6187,748,6189,771,6191,772,144,6193,821,196,6197,6199,[54,55,56,57,58],947,948,949,950,953,[],[61,62,63,64,65,66,67,68,69],2695,1683,1715,1717,1719,1723,1739,1801,1833,[71,14,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102],"post-30251","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-future-medicine","category-medical-education","tag-npj","tag-deep-learning","tag-asi","tag-machine-learning","tag-definitions","tag-tmfi","tag-npj-digital-medicine","tag-the-medical-futurist-institute","tag-nick-bostrom","tag-ani","tag-oxford","tag-agi","tag-artificial-intelligence","tag-dl","tag-a-i","tag-data-2","tag-supervised-learning","tag-reinforcement-learning","project_category-company","project_category-developers","project_category-educators","project_category-medical-professionals","project_category-researchers",{"id":24,"alt_text":104,"caption":105,"description":106,"media_type":107,"media_details":108,"post":136,"source_url":137},"TMFI AI paper in npj","A Short Guide For Medical Professionals In The Era of Artificial Intelligence","No doubt that A.I. will have a beneficial role in healthcare – but only if medical professionals become the leaders in the process. This paper helps them do so.","image",{"width":109,"height":110,"file":111,"sizes":112,"image_meta":134},1920,1080,"2020\u002F09\u002F0915_ai_paper_0-02.png",{"medium":113,"large":119,"thumbnail":124,"medium_large":128,"1536x1536":129},{"file":114,"width":115,"height":116,"mime-type":117,"source_url":118},"0915_ai_paper_0-02-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-02-370x208.png",{"file":120,"width":121,"height":122,"mime-type":117,"source_url":123},"0915_ai_paper_0-02-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-02-768x432.png",{"file":125,"width":126,"height":126,"mime-type":117,"source_url":127},"0915_ai_paper_0-02-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-02-150x150.png",{"file":120,"width":121,"height":122,"mime-type":117,"source_url":123},{"file":130,"width":131,"height":132,"mime-type":117,"source_url":133},"0915_ai_paper_0-02-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-02-1536x864.png",{"aperture":135,"credit":27,"camera":27,"caption":27,"created_timestamp":135,"copyright":27,"focal_length":135,"iso":135,"shutter_speed":135,"title":27,"orientation":135},"0",30089,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F09\u002F0915_ai_paper_0-02.png",{"cta_type":139,"cta_color":27,"subtitle":27,"related_books":140,"related_posts_footer":144,"related_posts":20,"key_takeaways":20},"subscribe",[141,142,143],24762,24761,24765,[145,146,147],30149,25833,26327,{"yoast_wpseo_title":149,"yoast_wpseo_metadesc":150,"yoast_wpseo_canonical":15},"A Physician’s Visual Guide To Artificial Intelligence - The Medical Futurist","A Short Guide on Artificial Intelligence For Medical Professionals is to help in better understanding the basics of A.I. – and its potentials in healthcare.",{"self":152,"collection":158,"about":161,"author":164,"replies":167,"version-history":170,"predecessor-version":174,"wp:featuredmedia":178,"wp:attachment":181,"wp:term":184,"curies":200},[153],{"href":154,"targetHints":155},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F30251",{"allow":156},[157],"GET",[159],{"href":160},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[162],{"href":163},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[165],{"embeddable":26,"href":166},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F16",[168],{"embeddable":26,"href":169},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=30251",[171],{"count":172,"href":173},27,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F30251\u002Frevisions",[175],{"id":176,"href":177},53967,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F30251\u002Frevisions\u002F53967",[179],{"embeddable":26,"href":180},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F30241",[182],{"href":183},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=30251",[185,188,191,194,197],{"taxonomy":186,"embeddable":26,"href":187},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=30251",{"taxonomy":189,"embeddable":26,"href":190},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=30251",{"taxonomy":192,"embeddable":26,"href":193},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=30251",{"taxonomy":195,"embeddable":26,"href":196},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=30251",{"taxonomy":198,"embeddable":26,"href":199},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=30251",[201],{"name":202,"href":203,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[205],{"id":147,"date":206,"date_gmt":207,"guid":208,"modified":210,"modified_gmt":211,"slug":212,"status":13,"type":14,"link":213,"title":214,"content":216,"excerpt":218,"author":23,"featured_media":220,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":221,"categories":222,"tags":224,"project_category":230,"contact_email_category":231,"yst_prominent_words":232,"class_list":253,"better_featured_image":261,"acf":298,"yoast_meta":305,"_links":308},"2020-02-25T10:00:00","2020-02-25T08:00:00",{"rendered":209},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=26327&_wpnonce=4be7c73b74&status=auto-draft&type=post","2020-04-03T10:44:04","2020-04-03T08:44:04","5-things-that-will-dominate-the-2020s-for-pharma-companies","https:\u002F\u002Fmedicalfuturist.com\u002F5-things-that-will-dominate-the-2020s-for-pharma-companies",{"rendered":215},"5 Things That Will Dominate The 2020s For Pharma Companies",{"rendered":217,"protected":20},"\n\u003Cp>What’s worth some 1,204.8 billion USD? Well, it’s the \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.statista.com\u002Ftopics\u002F1764\u002Fglobal-pharmaceutical-industry\u002F\" target=\"_blank\">worldwide pharmaceutical market\u003C\u002Fa>, of course! With such a capital at stake and with the pace of technological disruption, the pharma industry is quick to adapt to the changing times. In fact, leading drug companies are \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.hardmanandco.com\u002Fresearch\u002Fcorporate-research\u002Fglobal-pharmaceuticals-2018-industry-statistics\u002F\" target=\"_blank\">re-investing as much as 20.8%\u003C\u002Fa> of drug sales into new drug development. We’ve analyzed the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ftop-10-trends-shaping-future-pharma\u002F\" target=\"_blank\">trends shaping the future of pharma\u003C\u002Fa> before, but how can we expect to see the landscape evolve in this new decade? With leaps in A.I., patient empowerment and 3D printed drugs, here are the 5 pharma trends that will be the focus of pharmaceutical companies in the coming years.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"Top Technologies Shaping The Future Of Pharma - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FEoYvUx1v8vY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Pharma Trend #1 – Faster and cheaper: A.I. for drug R&D\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>A \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.prnewswire.com\u002Fnews-releases\u002Fai-in-healthcare-market-worth-31-3-billion-by-2025-grand-view-research-inc-300975059.html\" target=\"_blank\">recent report\u003C\u002Fa> forecasts the global artificial intelligence in healthcare market size to reach the USD 31.3 billion bar by 2025, growing at a compound annual growth rate (CAGR) of 41.5% over a forecast period. Pharma companies’ contribution to this growth isn’t negligible, as \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fblog.benchsci.com\u002Fstartups-using-artificial-intelligence-in-drug-discovery\" target=\"_blank\">the sheer amount\u003C\u002Fa> of A.I. companies in drug development reflects. It’s all about the speed and savings that A.I. ‘s myriad of applications can bring in this sector.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002FAI-Pharma-pill-512x288.jpg\" alt=\"Pharma trend: A.I.\" class=\"wp-image-26329\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002FAI-Pharma-pill-512x288.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002FAI-Pharma-pill-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002FAI-Pharma-pill.jpg 740w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption>Source: https:\u002F\u002Fmedsocial.ai\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>Companies like \u003Ca href=\"http:\u002F\u002Fwww.atomwise.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Atomwise\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fturbine.ai\u002F\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Turbine\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.deepgenomics.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Deep Genomics\u003C\u002Fa> use artificial intelligence to identify the most suitable drugs for certain conditions, doing so in record time all while cutting down on the costs. A prime example is that of Atomwise providing its algorithm to perform the drug research in developing a treatment for Ebola virus infections while partnering with the University of Toronto and IBM. The algorithm \u003Ca href=\"https:\u002F\u002Fwww.atomwise.com\u002F2015\u002F03\u002F24\u002Fnew-ebola-treatment-using-artificial-intelligence\u002F\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">predicted two drugs\u003C\u002Fa> which could significantly reduce Ebola infectivity. This analysis, which typically would have taken months or even years, was completed in less than one day!\u003C\u002Fp>\n\n\n\n\u003Cp>With the potential that lies in A.I-aided drug design, we even expect to see an A.I. startup using A.I. for drug design becoming a pharma company itself and run trials, as predicted in our \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002F2020s-digital-health-trends-to-look-out-for\u002F\" target=\"_blank\">Digital Health Trends for 2020\u003C\u002Fa>. This will allow such a company to have more input in a drug’s fate and see it through from conception to fruition, rather than just lending its algorithm and having big pharma take over the rest of the process.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Pharma Trend #2 – Patient involvement in advisory boards and drug design\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>If drug companies want to stay ahead of the curve, they will undeniably have to involve patients in their decision-making processes. In our always-connected world aided with health trackers and online communities, patients are more empowered than ever to make their demands heard, and all for the better! \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed-youtube aligncenter wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"Why is Patient Design Essential in Healthcare? \u002F Episode 6 - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FhjPcpVaJ9xU?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>An instance of patients barging through an impenetrable ivory tower tightly controlled by big corporations is that of diabetes. Diabetics created the \u003Ca href=\"https:\u002F\u002Fwww.healthline.com\u002Fhealth\u002Fdiabetesmine\u002Finnovation\u002Fwe-are-not-waiting#1\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">“#wearenotwaiting” movement\u003C\u002Fa> following undelivered promises of medtech companies and regulatory bodies to provide innovative products to better attend to their needs. The community decided to not wait anymore and took matters in its own hands. This movement led to initiatives like \u003Ca href=\"https:\u002F\u002Fopenaps.org\u002F\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">open-sourced DIY artificial pancreas\u003C\u002Fa>, discussion platforms like \u003Ca href=\"https:\u002F\u002Fwww.healthline.com\u002Fdiabetesmine\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">DiabetesMine\u003C\u002Fa> and cloud-based solutions like \u003Ca href=\"https:\u002F\u002Fwww.tidepool.org\u002F\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Tidepool\u003C\u002Fa>, which makes diabetes data more accessible and actionable.\u003C\u002Fp>\n\n\n\n\u003Cp>Heeding to the patient’s demands, the \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.bloomberg.com\u002Fnews\u002Farticles\u002F2016-09-28\u002Fartificial-pancreas-approved-by-fda-is-first-such-device-in-u-s\" target=\"_blank\">FDA approved\u003C\u002Fa> of the first artificial pancreas two years after the \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fliving-with-an-artificial-pancreas\u002F\" target=\"_blank\">open source DIY artificial pancreas\u003C\u002Fa> was made publicly available. By further embracing patients’ input, the FDA created its own \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.fda.gov\u002Fadvisory-committees\u002Fcommittees-and-meeting-materials\u002Fpatient-engagement-advisory-committee\" target=\"_blank\">patient engagement advisory board\u003C\u002Fa>. This set diabetes as the reference when it comes to patients penetrating ivory towers by means of digital health, \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdiabetes-as-the-trojan-horse-of-digital-health\u002F\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"akin to a Trojan horse (opens in a new tab)\">akin to a Trojan horse\u003C\u002Fa>, and the pharma industry might soon follow.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"650\" height=\"350\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F12\u002Ftrojan-horse-pills.jpg\" alt=\"\" class=\"wp-image-25549\"\u002F>\u003Cfigcaption>Source: https:\u002F\u002Fmed.news.am\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>As such, pharma companies might want to hear out patients and include them in their decision making. The rise of \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.digitaltrends.com\u002Fcool-tech\u002Fdiy-medicine-expert-interview\u002F\" target=\"_blank\">DIY medicine movements\u003C\u002Fa> shows that more people want their voice heard when it comes to making medicine more available and affordable, from the \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.scientificamerican.com\u002Farticle\u002Fan-anarchist-is-teaching-patients-to-make-their-own-medications\u002F\" target=\"_blank\">$35 DIY alternative\u003C\u002Fa> to the costly EpiPen shows. Another example is to create online platforms like \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.antidote.me\u002F\" target=\"_blank\">Antidote\u003C\u002Fa>, which seeks out participants and matches them with the appropriate clinical trials, thereby cutting costs incurred due to delays in finding participants.\u003C\u002Fp>\n\n\n\n\u003Cp>Drug companies must involve patients in drug designs, trials and even decision-making to better attend to their needs. After all, their drugs are destined to the end consumer and it will benefit both parties to have drugs better designed for patients’ maximum convenience in a more regulated way.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Pharma Trend #3 – No animals and humans will be harmed: \u003Cem>in silico\u003C\u002Fem> trials \u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>You’ve heard of \u003Cem>in vivo \u003C\u002Fem>and \u003Cem>in vitro \u003C\u002Fem>experiments before, now you’ll have to get used to \u003Cem>in silico \u003C\u002Fem>ones which are experiments conducted by means of a computer simulation. By running drug trials on computer simulations of organs, this technology can completely bypass \u003Cem>in vivo\u003C\u002Fem> clinical testing. Besides the obvious time and cost effectiveness, \u003Cem>in silico \u003C\u002Fem>trials completely circumvent animal testing and side effects on human and animal participants.\u003C\u002Fp>\n\n\n\n\u003Cp>As it stands today, the technology and biological understanding are just not there yet to simulate clinical trials at 100%. There is significant progress in the field in the form of organs-on-a-chip like the ones researchers of the \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwyss.harvard.edu\u002Ftechnology\u002Fhuman-organs-on-chips\u002F\" target=\"_blank\">Wyss Institute\u003C\u002Fa> have been working on for years and \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\u002F\u002Fhummod.org\u002F\" target=\"_blank\">HumMod\u003C\u002Fa>, the “most complete, mathematical model of human physiology ever created”, which has already been employed in \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\u002F\u002Fhummod.org\u002Fprojects\u002F\" target=\"_blank\">several research projects\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg decoding=\"async\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-512x288.png\" alt=\"Pharma trend: in silico trials\" class=\"wp-image-24545\"\u002F>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>The  Virtual Physiological Human (VPH) Institute has also created digital models that are already in use to study \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"http:\u002F\u002Fwww.cardioproof.eu\u002Fabout\u002Foverview-on-the-project\u002F\" target=\"_blank\">heart diseases\u003C\u002Fa> and \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fsimtk.org\u002Fprojects\u002Fvphop\" target=\"_blank\">osteoporosis\u003C\u002Fa>. \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.theatlantic.com\u002Fsponsored\u002Fvmware-2017\u002Fvirtual-body\u002F1625\u002F\" target=\"_blank\">According to Liesbet Geris\u003C\u002Fa>, executive director of the VPH Institute, the FDA is already preparing for a future where over 50% of all clinical trial data are generated from computer simulations. We might be far from a so-called “human-on-a-chip”, but with big players like the FDA betting heavily on \u003Cem>in silico\u003C\u002Fem> trials, key players are envisioning a future where one exists.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Pharma Trend #4 – High tech distribution: new technologies in the supply chain\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Technological innovation not only impacts drug development but also the drug supply chain in aspects ranging from time to safety to manpower. As we’ve noted in point #1, A.I. can slash drug designing time from years to days, saving cost and time while shortening the drug production cycle so they reach patients faster.\u003C\u002Fp>\n\n\n\n\u003Cp>Further shortening the cycle is the integration of robotics. Companies like \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.densorobotics.com\u002Fproducts\u002Fmedical-pharmaceutical\u002F\" target=\"_blank\">Denso Robotics\u003C\u002Fa> offer robots to automate tasks in the manufacturing processes. Robotics, in the form of \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fexoskeleton-technology\u002F\" target=\"_blank\">exoskeletons\u003C\u002Fa>, can further augment manual labour by assisting them with heavy loads and supporting them in enduring long hours of standing or other uncomfortable positions. Robots are already in use in pharmacies as dispenser aides like the \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Finnovat.com\u002Fpharmassist-robotx\u002F\" target=\"_blank\">PharmASSIST ROBOTx\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"342\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002FRussian-doctor-in-exoskeleton-512x342.jpg\" alt=\"Pharma trend: exoskeleton technology\" class=\"wp-image-25225\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002FRussian-doctor-in-exoskeleton-512x342.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002FRussian-doctor-in-exoskeleton-768x513.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F10\u002FRussian-doctor-in-exoskeleton.jpg 1360w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption>Source: www.themoscowtimes.com\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>Security along the supply chain can also benefit from a boost with a technology originating from the financial system: blockchain. Counterfeit drugs might offer a cheaper alternative but are the cause of tens of thousands of deaths worldwide, while the fake drug trade continues to be a profitable \u003Ca href=\"https:\u002F\u002Fwww.reuters.com\u002Farticle\u002Fus-pharmaceuticals-fakes\u002Ftens-of-thousands-dying-from-30-billion-fake-drugs-trade-who-says-idUSKBN1DS1XJ\">multi-billion dollar business\u003C\u002Fa>. In Asia, Africa and South America, \u003Ca href=\"https:\u002F\u002Fwww.pharmaceutical-technology.com\u002Ffeatures\u002Fblockchain-pharma-opportunities-supply-chain\u002F\">such drugs make up\u003C\u002Fa> around 10-30% of the total medicines on sale. Blockchain could bring a radical security measure to the drug distribution chain via a barcode record system that can be tracked from the manufacturer to the end user. This way, medicines can be tracked in real-time by authorized parties and patients, making it much more difficult for criminal networks to operate.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\u003Cdiv class=\"wp-block-embed__wrapper\">\n\u003Ciframe loading=\"lazy\" title=\"What The Hell Is Blockchain And What Does It Mean For Healthcare And Pharma? - The Medical Futurist\" width=\"640\" height=\"360\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FE1wcvcta6zw?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen>\u003C\u002Fiframe>\n\u003C\u002Fdiv>\u003C\u002Ffigure>\n\n\n\n\u003Cp>In addition to a secure distribution chain, blockchain can also allow the sharing of confidential data pertaining to drug development and clinical trials. By being a simple yet secure measure, we will see pharma companies investing more and more into blockchain.\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">\u003Cstrong>Pharma Trend #5 – It’s all about the pills: new drug strategies\u003C\u002Fstrong>\u003C\u002Fh3>\n\n\n\n\u003Cp>Rather than focusing on traditional drug manufacturing and marketing, pharma companies will focus on newer approaches relying on technology to appeal more to providers and payers. \u003C\u002Fp>\n\n\n\n\u003Cp>The “around the pill” strategy is one such approach. It refers to going beyond just producing and selling drugs as they are but rather developing a drug and attaching a digital health technology to it instead. An example of this strategy is the \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.mobihealthnews.com\u002Fcontent\u002Fdepth-pharma%E2%80%99s-digital-health-initiatives-move-commercialization\" target=\"_blank\">partnership between Partners Healthcare Center and Japanese drug maker Daichii-Sankyo\u003C\u002Fa> for a “mobile wrap-around” anticoagulate drug prescribed for atrial fibrillation. It involves a wearable monitoring device and an app for feedback from doctors and automated ones from the app itself.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"289\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Faround-the-pill-strategy-512x289.jpg\" alt=\"\" class=\"wp-image-26335\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Faround-the-pill-strategy-512x289.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Faround-the-pill-strategy-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Faround-the-pill-strategy-768x433.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Faround-the-pill-strategy.jpg 1440w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption>Source: https:\u002F\u002Ftwitter.com\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>Pharma giant Roche also saw potential in such a technology-centric approach. In an attempt to boost its struggling diabetes unit, the company ingeniously paired the mySugr app \u003Ca href=\"https:\u002F\u002Fwww.roche.com\u002Fmedia\u002Freleases\u002Fmed-cor-2017-06-30.htm\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">it acquired in 2017\u003C\u002Fa> with Roche’s Accu-Chek Guide glucose meter, thereby allowing diabetics to have a different, gamified experience to managing their condition. By logging in their blood glucose levels, completing tasks and challenges, users can “tame their diabetes monster”. It’s a totally different approach which \u003Ca href=\"https:\u002F\u002Fwww.businesstimes.com.sg\u002Fconsumer\u002Froches-sinking-diabetes-unit-looks-towards-a-monster-for-a-boost\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Marcel Gmuender\u003C\u002Fa>, Roche’s head of diabetes-care unit, forecasts that “the way forward will mean selling a total experience, not just a product.”\u003C\u002Fp>\n\n\n\n\u003Cp>More than offering a glimpse into the future of a world where you can print your medications from home, 3D-printed pills have far more practical applications to managing treatments. Since the \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.forbes.com\u002Fsites\u002Frobertszczerba\u002F2015\u002F08\u002F04\u002Ffda-approves-first-3-d-printed-drug\u002F#21226e315675\" target=\"_blank\">FDA approved Spritam\u003C\u002Fa>, the first 3D-printed prescription drug to treat symptoms of epilepsy, in 2015, the technology has been improving. Researchers are now investigating the manufacture of \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002F3dprint.com\u002F261126\u002Fresearchers-3d-print-six-different-drugs-multi-layered-polypill\u002F\" target=\"_blank\">multi-layered “polypills”\u003C\u002Fa> via 3D-printing. These are made to contain several drugs with the aim to help patients adhere to their regimen and better manage their medications. Drug companies will need to invest in developing this technology further to better help patient treatments.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Ca class=\"img\" href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\u002Fposts\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"311\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FScreenshot-2020-04-02-at-13.35.51-768x311.png\" alt=\"\" class=\"wp-image-27373\"\u002F\u003C\u002Fa srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FScreenshot-2020-04-02-at-13.35.51-768x311.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FScreenshot-2020-04-02-at-13.35.51.png 1518w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Fa>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Which of these 5 points are you most excited to see developments in throughout 2020s? Are there  any other aspects that you think will be the focus of the pharmaceutical industry? \u003Ca rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\u002F\u002Fwww.facebook.com\u002Fmedicalfuturist\u002F\" target=\"_blank\">Share your thoughts\u003C\u002Fa> with us, we’d love to hear from you!\u003C\u002Fp>\n",{"rendered":219,"protected":20},"\u003Cp>We’ve analyzed the trends shaping the future of pharma before, but how can we expect to see the landscape evolve in this new decade? With leaps in A.I., patient empowerment and 3D printed drugs, here are the 5 aspects that will be the focus of pharmaceutical companies in the coming years.\u003C\u002Fp>\n",26469,{"_acf_changed":20,"footnotes":27},[223],490,[225,226,227,228,229],247,356,819,1083,207,[],[],[233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252],1611,1633,1613,1635,1615,1637,1617,1619,1599,1621,1601,1623,1603,1625,1605,1627,1607,1629,1609,1631,[254,14,72,73,74,75,76,255,256,257,258,259,260],"post-26327","category-future-of-pharma","tag-future-of-medicine","tag-pharma-2","tag-pharmaceutics","tag-digital-health-companies","tag-digital-health",{"id":220,"alt_text":262,"caption":27,"description":27,"media_type":107,"media_details":263,"post":147,"source_url":297},"future of pharma",{"width":109,"height":110,"file":264,"sizes":265,"image_meta":295},"2020\u002F02\u002Fpharma-future-small.png",{"medium":266,"large":271,"thumbnail":276,"medium_large":280,"1536x1536":281,"medium_old_370x208":286,"large_old_512x288":287,"thumbnail_old_150x150":292,"medium_large_old_768x432":293,"1536x1536_old_1536x864":294},{"file":267,"width":268,"height":269,"mime-type":117,"source_url":270},"pharma-future-small-370x208.png",370,208,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Fpharma-future-small-370x208.png",{"file":272,"width":273,"height":274,"mime-type":117,"source_url":275},"pharma-future-small-768x432.png",768,432,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Fpharma-future-small-768x432.png",{"file":277,"width":278,"height":278,"mime-type":117,"source_url":279},"pharma-future-small-150x150.png",150,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Fpharma-future-small-150x150.png",{"file":272,"width":273,"height":274,"mime-type":117,"source_url":275},{"file":282,"width":283,"height":284,"mime-type":117,"source_url":285},"pharma-future-small-1536x864.png",1536,864,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Fpharma-future-small-1536x864.png",{"file":267,"width":115,"height":116,"mime-type":117,"source_url":270},{"file":288,"width":289,"height":290,"mime-type":117,"source_url":291},"pharma-future-small-512x288.png","512","288","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Fpharma-future-small-512x288.png",{"file":277,"width":126,"height":126,"mime-type":117,"source_url":279},{"file":272,"width":121,"height":122,"mime-type":117,"source_url":275},{"file":282,"width":131,"height":132,"mime-type":117,"source_url":285},{"aperture":135,"credit":27,"camera":27,"caption":27,"created_timestamp":135,"copyright":27,"focal_length":135,"iso":135,"shutter_speed":135,"title":27,"orientation":135,"keywords":296},[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F02\u002Fpharma-future-small.png",{"cta_type":139,"cta_color":299,"subtitle":27,"related_books":300,"related_posts_footer":302,"related_posts":20},"red",[301],24764,[303,304],13095,13748,{"yoast_wpseo_title":306,"yoast_wpseo_metadesc":307,"yoast_wpseo_canonical":213},"Top 5 Pharma Trends That Dominate The Pharma Industry in 2020","Pharma Trends 2020: What Will Shape the 2020s For Pharma Companies? Pharma Trend #1: AI Trend #2: High tech Trend #3: In silico trials",{"self":309,"collection":314,"about":316,"author":318,"replies":320,"version-history":323,"predecessor-version":327,"wp:featuredmedia":331,"wp:attachment":334,"wp:term":337,"curies":348},[310],{"href":311,"targetHints":312},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F26327",{"allow":313},[157],[315],{"href":160},[317],{"href":163},[319],{"embeddable":26,"href":166},[321],{"embeddable":26,"href":322},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=26327",[324],{"count":325,"href":326},12,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F26327\u002Frevisions",[328],{"id":329,"href":330},27395,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F26327\u002Frevisions\u002F27395",[332],{"embeddable":26,"href":333},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F26469",[335],{"href":336},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=26327",[338,340,342,344,346],{"taxonomy":186,"embeddable":26,"href":339},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=26327",{"taxonomy":189,"embeddable":26,"href":341},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=26327",{"taxonomy":192,"embeddable":26,"href":343},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=26327",{"taxonomy":195,"embeddable":26,"href":345},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=26327",{"taxonomy":198,"embeddable":26,"href":347},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=26327",[349],{"name":202,"href":203,"templated":26},[351],{"id":143,"date":352,"date_gmt":353,"guid":354,"modified":356,"modified_gmt":357,"slug":358,"status":13,"type":359,"link":360,"title":361,"content":363,"excerpt":365,"author":367,"featured_media":368,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":369,"class_list":373,"better_featured_image":376,"acf":396,"yoast_meta":402,"_links":404},"2019-09-06T22:01:25","2019-09-06T20:01:25",{"rendered":355},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=24765","2023-03-12T18:12:53","2023-03-12T17:12:53","the-guide-to-the-future-of-medicine","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Fthe-guide-to-the-future-of-medicine\u002F",{"rendered":362},"Guide to the Future of Medicine: Technology & Human Touch",{"rendered":364,"protected":20},"\n\u003Cp>The Guide to the Future of Medicine provides an eye-opening, reassuring and accessible roadmap to tomorrow’s potential. By preparing for the inevitable waves of change, you can make informed decisions about how technology will shape your personal well-being or your business environment, and stay healthy and afloat amidst the waves of change.\u003C\u002Fp>\n",{"rendered":366,"protected":20},"\u003Cp>The Guide to the Future of Medicine provides an eye-opening, reassuring and accessible roadmap to tomorrow’s potential. 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