[{"data":1,"prerenderedAt":414},["ShallowReactive",2],{"slug-the-future-of-clinical-trials-artificial-patients-synthetic-data-and-real-time-analysis":3},{"post":4,"relatedPosts":185,"relatedBooks":317},{"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":37,"project_category":48,"contact_email_category":50,"yst_prominent_words":51,"class_list":58,"better_featured_image":82,"acf":121,"yoast_meta":130,"_links":132},46538,"2022-05-31T10:00:00","2022-05-31T08:00:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=46538&_wpnonce=d0b76defed&status=auto-draft&type=post","2022-10-17T14:09:07","2022-10-17T12:09:07","the-future-of-clinical-trials-artificial-patients-synthetic-data-and-real-time-analysis","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fthe-future-of-clinical-trials-artificial-patients-synthetic-data-and-real-time-analysis",{"rendered":17},"The Future Of Clinical Trials: Artificial Patients, Synthetic Data And Real-Time Analysis",{"rendered":19,"protected":20},"\n\u003Cp>In this article, we summarise three concepts that are already\u002F will soon become familiar for everyone interested in the future of clinical trials. These are 1. the concept of the artificial patient, 2. using synthetic data and 3. real-time analyses.\u003C\u002Fp>\n\n\n\n\u003Cp>What connects the three is that all are potential tools to make clinical trials faster, cheaper and safer. That is so, in an ideal world. Because, as almost always, there is a catch, not even a small one. But more on it later. \u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The artificial patient\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cstrong>What is it? \u003C\u002Fstrong>As of today, there is no final, widely accepted definition of what an artificial\u002Fvirtual\u002Fsynthetic patient is. A very detailed explanation about some (but not all) of the different definitions can be found \u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC4318546\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">in this study\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>So let me phrase it simply what we mean by it in this analysis: \u003C\u002Fp>\n\n\n\n\u003Cblockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\u003Cp>an artificial patient is a set of data representing the desired human characteristics the best possible way that is based on large amounts of real patient data, without actually including any backtracable real-patient data. \u003C\u002Fp>\u003C\u002Fblockquote>\n\n\n\n\u003Cp>\u003Cstrong>Why is it? \u003C\u002Fstrong>Artificial patients can be the answer to more than one problems of modern medicine. One of them is patient privacy. With ever more machine learning and deep learning models being used, A.I. needs huge amounts of data to learn from. But providing a lot of real patient data is against their privacy rights, and we have seen ample examples of how bad an idea it is to allow random companies to access heaps of sensitive health data. On the other hand, taking a real-life dataset of existing humans, and generating a synthetic dataset that resembles the original in all important aspects (*more on it later) without actually including anything personal can be a solution.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>What is it good for?\u003C\u002Fstrong> Artificial patients can be used for a number of things, from medical education to clinical trials, this time we are only focusing on the latter. One day, virtual patients might become the go-to tools for\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\u003Cli>estimating efficiency and potential side effects of \u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC7577280\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">promising drug molecules\u003C\u002Fa> or \u003Ca href=\"https:\u002F\u002Fbiblio.ugent.be\u002Fpublication\u002F8711822\u002Ffile\u002F8711823.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">optimising the use of existing ones\u003C\u002Fa>, \u003C\u002Fli>\u003Cli>to model the success rate of \u003Ca href=\"https:\u002F\u002Fwww.mdpi.com\u002F2077-0375\u002F12\u002F6\u002F548\" target=\"_blank\" rel=\"noreferrer noopener\">future medical devices\u003C\u002Fa> or \u003Ca href=\"https:\u002F\u002Fwww.medgadget.com\u002F2021\u002F06\u002Fin-silico-clinical-trial-replicates-results-of-traditional-trial.html\" target=\"_blank\" rel=\"noreferrer noopener\">treatment methods\u003C\u002Fa>, \u003C\u002Fli>\u003Cli>or, as the latest,\u003Ca href=\"https:\u002F\u002Fwww.theverge.com\u002F2022\u002F4\u002F28\u002F23044586\u002Fvr-chronic-pain-synthetic-clinical-trial-data\" target=\"_blank\" rel=\"noreferrer noopener\"> they can substitute the placebo control group\u003C\u002Fa> for clinical trials\u003C\u002Fli>\u003C\u002Ful>\n\n\n\n\u003Cp>As many hope, one day artificial patients may be able to completely substitute humans and animals in clinical trials, most likely with animals being the first. \u003C\u002Fp>\n\n\n\n\u003Cp>While using artificial patients for drug development or medical device development is a promising field, there is a long way to go until the models can reach the required complexity while being truly representative of the human population.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F093_will_we_born_in_2050-768x432.png\" alt=\"artificial womb\" class=\"wp-image-24181\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F093_will_we_born_in_2050-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F093_will_we_born_in_2050-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F093_will_we_born_in_2050-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F093_will_we_born_in_2050-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F06\u002F093_will_we_born_in_2050.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>On the other hand, artificial patients as the placebo control group have arrived. AppliedVR \u003Ca href=\"https:\u002F\u002Fwww.theverge.com\u002F2022\u002F4\u002F28\u002F23044586\u002Fvr-chronic-pain-synthetic-clinical-trial-data\" target=\"_blank\" rel=\"noreferrer noopener\">recently conducted a trial\u003C\u002Fa> for VR treatment for chronic back pain patients. And instead of recruiting patients to sign up for the trials to not receive the treatment (being the control group), they decided to turn to an existing database of chronic pain patients, provided by healthcare data company Komodo Health. \u003C\u002Fp>\n\n\n\n\u003Cp>Using real-world data as a patient group in a trial, often known as a synthetic control arm, can make research trials more efficient — companies don’t have to enrol as many people in clinical trials and can guarantee that those who apply will indeed receive the treatment. \u003C\u002Fp>\n\n\n\n\u003Cp>Synthetic control groups can also improve equity in clinical research. “That allows us to go look at all those different subpopulations and underrepresented patient populations to see if they have different outcomes,” Web Sun, president and co-founder of Komodo Health says. \u003C\u002Fp>\n\n\n\n\u003Cp>Another interesting example was this\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.medgadget.com\u002F2021\u002F06\u002Fin-silico-clinical-trial-replicates-results-of-traditional-trial.html\" target=\"_blank\"> virtual trial\u003C\u002Fa> (or in-silico trial) carried out to predict the efficiency of using flow diverters for brain aneurysms. Researchers created 82 virtual patients based on data of real patients from previous flow diverter trials. The experiment projected an 82.9% success rate for the use of diverters, pretty close to the results of three real-world flow diverter trials that had 86.8%, 74.8% and 76.8% success rates respectively.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Synthetic data\u003C\u002Fh2>\n\n\n\n\u003Cp>If you felt like your head started spinning from dealing with the concept of the artificial patient, behold, synthetic data is probably an even wilder ride. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>What is it?\u003C\u002Fstrong> The definition is simpler this time: synthetic data is the use of A.I. to create datasets that mimic the real world.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Why is it?\u003C\u002Fstrong> Because we 1. don’t have enough real-world data or 2. don’t want to use real-world (sensitive) data.\u003Cbr>\u003Cstrong>What is it good for?\u003C\u002Fstrong> Feeding any algorithm that needs massive amounts of data to learn and either develop new prediction capabilities or recognise patterns. Synthetic data is widely used in a number of industries and segments, not just in medicine, but also in self-driving vehicles, security, robotics, fraud protection, insurance models, military and so on.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F110_All-the-things-we-can-measure-in-digital-health-768x432.png\" alt=\"health data\" class=\"wp-image-24937\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F110_All-the-things-we-can-measure-in-digital-health-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F110_All-the-things-we-can-measure-in-digital-health-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F110_All-the-things-we-can-measure-in-digital-health-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F110_All-the-things-we-can-measure-in-digital-health-512x288.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F09\u002F110_All-the-things-we-can-measure-in-digital-health.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Artificial intelligence has earned its place \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fsynthetic-data-in-healthcare-will-smarter-data-bring-the-a-i-revolution-in-healthcare\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">in multiple fields of medicine\u003C\u002Fa>, from recognising patterns, supporting diagnoses and setting up treatment pathways to optimising healthcare logistics. Smart algorithms can sift through large volumes of data no man can, deriving clear-cut trends from such analyses. \u003C\u002Fp>\n\n\n\n\u003Cp>Privacy concerns limit the amount of available data in medicine. Working with sensitive patient data is a tricky issue. It seems we cannot keep our privacy intact AND also benefit from A.I.’s advantages in our care. We saw in many cases how sensitive information can get leaked \u003Ca href=\"https:\u002F\u002Fwww.securitymagazine.com\u002Farticles\u002F96399-over-800-million-medical-records-exposed-in-data-breach\" target=\"_blank\" rel=\"noreferrer noopener\">even unintentionally\u003C\u002Fa> – and we are not even talking about hacking or privacy, just a poorly protected database. New methods like \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ffederated-learning-can-protect-patients-data-in-hospitals\">f\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ffederated-learning-can-protect-patients-data-in-hospitals\" target=\"_blank\" rel=\"noreferrer noopener\">e\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ffederated-learning-can-protect-patients-data-in-hospitals\">derated learning\u003C\u002Fa> might make it possible to do this without breaching patients’ privacy, but its scope is limited.\u003C\u002Fp>\n\n\n\n\u003Cp>That’s when synthetic data comes in. It can fill in the missing data, making it possible to produce entirely fabricated patient datasets that are just as useful for training A.I. as the real thing, while keeping patient data protected.\u003C\u002Fp>\n\n\n\n\u003Cp>Using synthetic data could help overcome this challenge as the training could focus on such variables, making use of real-world environments. Using the above-mentioned example, how to diagnose melanoma on dark skin toned patients – as often\u003Ca href=\"https:\u002F\u002Fwww.vice.com\u002Fen\u002Farticle\u002Fm7evmy\u002Fgoogles-new-dermatology-app-wasnt-designed-for-people-with-darker-skin\" target=\"_blank\" rel=\"noreferrer noopener\"> previous algorithms have failed\u003C\u002Fa> to be able to do so.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">But not everything is just sunshine and sandy beaches\u003C\u002Fh2>\n\n\n\n\u003Cp>This \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fiai.tv\u002Farticles\u002Fwe-should-all-be-worried-about-synthetic-data-auid-2138&utm_source=reddit&_auid=2020\" target=\"_blank\">insightful analysis\u003C\u002Fa> not only explains how and why synthetic data is used, but also why we should be scared of it. In short: any dataset we create will be imperfect to some extent. It will contain biases we are not aware of. It will not include important variables we either overlooked or are not aware of their importance. Even, in the best of cases, it will be like a snapshot of a given moment of a given situation. \u003C\u002Fp>\n\n\n\n\u003Cp>If we let machine learning and deep learning algorithms develop on these synthetic, imperfect datasets, chances are they will come to conclusions that are more or less false in the real world. \u003C\u002Fp>\n\n\n\n\u003Cp>And the reason why this is worrying is the speed at which the use of synthetic data is spreading. Gartner predicts that by 2024 some 60% of all data used for AI will be synthetic. And not just in medicine. \u003C\u002Fp>\n\n\n\n\u003Cp>Synthetic data is cheap and easy to come by, much easier and cheaper than collecting huge amounts of messy real-world data. What happens if decisions affecting large groups of people or whole societies will be made based on it? \u003C\u002Fp>\n\n\n\n\u003Cp>It is especially worrying as the world already faces challenges regarding “truth”. Introducing alternative truths based on ‘data’ to back decisions affecting societies – like healthcare funding, insurance models and so on – can have devastating consequences.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Real-time \u002F decentralised clinical trials\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cstrong>What is it?\u003C\u002Fstrong> The use of electronic health data\u002Frecords\u002Fdevices to carry out clinical trials in near real-time with patients not needed to be present on site.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Why is it? \u003C\u002Fstrong>Real-time trials offer faster results and the possibility of participants to directly connect to other patients, share their experiences and get access to results. \u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>What is it good for?\u003C\u002Fstrong> More committed participants and faster results. \u003C\u002Fp>\n\n\n\n\u003Cp>We have seen a few good examples in recent months.\u003C\u002Fp>\n\n\n\n\u003Cp>One is that of \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.mobihealthnews.com\u002Fnews\u002Froyal-philips-rolls-out-home-ecg-system-decentralized-clinical-trials\" target=\"_blank\">Royal-Philips rolling out a new at-home ECG system\u003C\u002Fa> for decentralised clinical trial use. The company is pitching this new technology as a way for clinical trial participants to record ECG data without travelling to a clinical site or requiring an in-home clinician. Data of trial participants can be transmitted near real-time to the cloud servers for analysis. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large is-style-default\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"494\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F09\u002Fclinical-trials-768x494.jpg\" alt=\"Clinical Trials\" class=\"wp-image-14141\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F09\u002Fclinical-trials-768x494.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F09\u002Fclinical-trials-512x330.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F09\u002Fclinical-trials-389x250.jpg 389w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2016\u002F09\u002Fclinical-trials.jpg 870w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>A number of digital health companies are designing tools to enable decentralised trials. In September, digital wound-care company \u003Ca href=\"https:\u002F\u002Fwww.mobihealthnews.com\u002Fnews\u002Fswift-medicals-new-imaging-platform-expands-digital-wound-care-company-decentralized-trials\" target=\"_blank\" rel=\"noreferrer noopener\">Swift Medical\u003C\u002Fa> launched a new digital-imaging platform designed to support decentralised clinical trials. The technology was designed to aid in large-scale image collection and management in order for researchers to monitor the impact of medical interventions at various sites or at home.\u003C\u002Fp>\n\n\n\n\u003Cp>Deploying such advanced technologies in clinical trials will require pharmaceutical and biotech companies to commit not only financially but also to the idea that technologies can significantly contribute to clinical trials, making drugs cheaper, making the process faster and much more importantly, making the lives of patients participating in them more comfortable.\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Three important concepts explained that are expected to make future clinical trials faster, safer and cheaper, without real humans and animals.\u003C\u002Fp>\n",6,24545,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33,34,35,36],7079,6261,504,798,491,521,[38,39,40,41,42,43,44,45,46,47],566,636,671,7477,7577,1530,7578,7579,306,7580,[49],953,[],[52,53,54,55,56,57],1803,1807,1621,1631,1635,1693,[59,14,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81],"post-46538","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-forecast","category-artificial-intelligence","category-digital-health-research","category-empowered-patients","category-future-medicine","tag-clinical-trials","tag-deep-learning","tag-machine-learning","tag-synthetic-data","tag-artificial-patient","tag-drug-design","tag-virtual-patient","tag-synthetic-patient","tag-medical-device","tag-real-time-analysis","project_category-researchers",{"id":24,"alt_text":83,"caption":27,"description":84,"media_type":85,"media_details":86,"post":119,"source_url":120},"in silico trials, synthetic data, artificial patient, TMF","synthetic data, artificial patient, TMF","image",{"width":87,"height":88,"file":89,"sizes":90,"image_meta":117},1920,1080,"2019\u002F08\u002F103_In-silico-clinical-trials.png",{"medium":91,"large":97,"thumbnail":102,"medium_large":106,"1536x1536":107,"2048x2048":112},{"file":92,"width":93,"height":94,"mime-type":95,"source_url":96},"103_In-silico-clinical-trials-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-370x208.png",{"file":98,"width":99,"height":100,"mime-type":95,"source_url":101},"103_In-silico-clinical-trials-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-768x432.png",{"file":103,"width":104,"height":104,"mime-type":95,"source_url":105},"103_In-silico-clinical-trials-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-150x150.png",{"file":98,"width":99,"height":100,"mime-type":95,"source_url":101},{"file":108,"width":109,"height":110,"mime-type":95,"source_url":111},"103_In-silico-clinical-trials-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-1536x864.png",{"file":113,"width":114,"height":115,"mime-type":95,"source_url":116},"103_In-silico-clinical-trials-2048x1152.png","2048","1152","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-2048x1152.png",{"aperture":118,"credit":27,"camera":27,"caption":27,"created_timestamp":118,"copyright":27,"focal_length":118,"iso":118,"shutter_speed":118,"title":27,"orientation":118},"0",24540,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002F103_In-silico-clinical-trials-scaled.png",{"cta_type":122,"cta_color":27,"subtitle":27,"related_books":123,"related_posts_footer":127,"related_posts":20},"subscribe",[124,125,126],24765,24762,30419,[128,129,119],41849,39279,{"yoast_wpseo_title":17,"yoast_wpseo_metadesc":131,"yoast_wpseo_canonical":15},"Three important concepts explained that are expected to make future clinical trials faster, safer and cheaper, without needing real humans and animals.",{"self":133,"collection":139,"about":142,"author":145,"replies":148,"version-history":151,"predecessor-version":155,"wp:featuredmedia":159,"wp:attachment":162,"wp:term":165,"curies":181},[134],{"href":135,"targetHints":136},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F46538",{"allow":137},[138],"GET",[140],{"href":141},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[143],{"href":144},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[146],{"embeddable":26,"href":147},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[149],{"embeddable":26,"href":150},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=46538",[152],{"count":153,"href":154},23,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F46538\u002Frevisions",[156],{"id":157,"href":158},46582,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F46538\u002Frevisions\u002F46582",[160],{"embeddable":26,"href":161},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F24545",[163],{"href":164},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=46538",[166,169,172,175,178],{"taxonomy":167,"embeddable":26,"href":168},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=46538",{"taxonomy":170,"embeddable":26,"href":171},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=46538",{"taxonomy":173,"embeddable":26,"href":174},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=46538",{"taxonomy":176,"embeddable":26,"href":177},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=46538",{"taxonomy":179,"embeddable":26,"href":180},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=46538",[182],{"name":183,"href":184,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[186],{"id":119,"date":187,"date_gmt":188,"guid":189,"modified":191,"modified_gmt":192,"slug":193,"status":13,"type":14,"link":194,"title":195,"content":197,"excerpt":199,"author":23,"featured_media":24,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":201,"categories":202,"tags":205,"project_category":223,"contact_email_category":224,"yst_prominent_words":225,"class_list":233,"better_featured_image":254,"acf":264,"yoast_meta":273,"_links":276},"2019-08-10T11:00:05","2019-08-10T09:00:05",{"rendered":190},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=24540&_wpnonce=7c9c1f49a6&status=auto-draft&type=post","2023-03-21T08:11:38","2023-03-21T07:11:38","in-silico-trials-are-the-future","https:\u002F\u002Fmedicalfuturist.com\u002Fin-silico-trials-are-the-future",{"rendered":196},"Virtual Bodies For Real Drugs: In Silico Clinical Trials Are The Future",{"rendered":198,"protected":20},"\n\u003Ctable style=\"width: 100%; border-collapse: collapse; background-color: #eee; border-top: 4px solid #444;\" cellpadding=\"5px\">\n\u003Ctbody>\n\u003Ctr>\n\u003Ctd style=\"width: 100%;\">\n\u003Cp style=\"color: #555;font-size: 12px;line-height: 14px\">THIS ARTICLE HAS NOT BEEN UPDATED SINCE 2019. THE INFORMATION SHARED IN THE ARTICLE WAS ACCURATE AT THE TIME OF ITS PUBLICATION, BUT IT MAY BE OUT OF DATE NOW. \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmagazine\">BROWSE OUR LATEST ARTICLES HERE\u003C\u002Fa>\u003C\u002Fp>\n\u003C\u002Ftd> \u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\n\n\n\n\u003Cp>Traditional clinical trials are equivalent to billions of dollars and years of hard work with no guarantee for the new drug to be approved by regulatory bodies, not to speak about the dangers of testing medication on animals and\u002For humans. What if we could take a radical turn? What if we conducted clinical trials on virtual bodies that could perfectly mimic human physiology? With the help of artificial intelligence, enhanced computer simulations, and advances in personalized medicine, in silico trials might be a reality in the coming years.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The magic expression is in\nsilico\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>As technologies transform every aspect of healthcare,\nmedicine, and the pharma industry, the monstrous clinical trial enterprise\ncannot be left out either. One way to \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Ffuture-of-clinical-trials\">modernize the drug testing process\u003C\u002Fa> is applying technologies to the traditional framework,\nfor example through \u003Ca href=\"http:\u002F\u002Ftrialreach.com\u002F\">online platforms\u003C\u002Fa> to seek out participants; while an alternative way is\nto build a completely new setting. \u003Ca href=\"https:\u002F\u002Fwyss.harvard.edu\u002Ftechnology\u002Fhuman-organs-on-chips\u002F\">Human organs-on-chips\u003C\u002Fa> and in silico trials represent the second approach. Researchers\nof the Wyss Institute have been working on the first strand, human\norgans-on-chips for years. These microdevices lined by living human cells can\nmimic the microarchitecture and functions of human organs, and this makes them\nideal for replacing clinical testing. \u003C\u002Fp>\n\n\n\n\u003Cp>Going one Neil Armstrong-step further, we arrive at in\nsilico trials: no humans, no animals, not even a single cell is required, and\nyet the impact of any given therapy, treatment option, or drug can be perfectly\ncharted. In silico is \u003Ca href=\"https:\u002F\u002Fcordis.europa.eu\u002Fresult\u002Frcn\u002F86061_en.html\">the term scientists use to describe the modeling, simulation,\nand visualization of biological and medical processes in computers\u003C\u002Fa>. The emergence of in silico medicine is a result of\nthe advance of medical computer science over the last 20 years. \u003C\u002Fp>\n\n\n\n\u003Cp>Modeling maps the elements of a biological system, simulation attempts to realistically show how that system evolves over time under given stimuli, and visualization presents the predictions in a graphic form. \u003Cstrong>When looking at an in silico clinical trial specifically, it means an individualized computer simulation used in the development or regulatory evaluation of a medicinal product, device, or intervention. While completely simulated clinical trials are not feasible with current technology and understanding of biology, their development would be expected to have major benefits over current in vivo clinical trials, and \u003Ca href=\"https:\u002F\u002Fwww.theatlantic.com\u002Fsponsored\u002Fvmware-2017\u002Fvirtual-body\u002F1625\u002F\">the FDA is already planning for a future\u003C\u002Fa> in which more than half of all clinical trial data will come from computer simulations. \u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"512\" height=\"288\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-512x288.png\" alt=\"in silico trials\" class=\"wp-image-24541\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-512x288.png 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials.png 800w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: https:\u002F\u002Fwww.change.org\u002Fp\u002Fguido-rasi-foster-adoption-of-in-silico-trials-through-ema-s-strategy-on-regulatory-science-to-2025\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>All\ngain, no pain\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>The main advantage of in silico trials resides in the context of simulations: the effects of new drugs or treatment options are played out in a virtual setting without real consequences for either animals or humans. They also enhance personalized medicine: these processes allow doctors to try out treatment plans, to get to know the behavior of drugs or to identify the most appropriate drug dosage. \u003C\u002Fp>\n\n\n\n\u003Cp>With the advancement of cognitive computing and\nbioinformatics, it becomes possible to simulate real biological processes in\nvirtual settings through the use of big data. The computational environment\nenables researchers to build circulatory, neural, endocrine, metabolic systems\n– or anything else using these enormous volumes of data sets. As a final\nobjective, \u003Cstrong>these individual layers of\nthe human physiology could be combined to capacitate the examination of the\nhuman body as a whole. The ultimate results are faster and more flexible\nclinical trials and a significant reduction in costs\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Moreover,\u003C\u002Fstrong> \u003Cstrong>artificial intelligence can also provide answers to the usually asked question: “why does this work for this patient but not another one?”\u003C\u002Fstrong> A.I-building methods, namely \u003Ca href=\"https:\u002F\u002Fwww.forbes.com\u002Fsites\u002Fyiannismouratidis\u002F2018\u002F11\u002F14\u002Fbillions-will-be-poured-into-ai-drug-development\u002F#700763f57b9f\">machine learning and deep learning have the potential to train a model\u003C\u002Fa> that will then be able to find patterns and clusters in otherwise unstructured data – and seek out information researchers didn’t expect to be there. In addition, neural networks can be used to predict adverse events or to anticipate the possible risk of patient drop out and compliance to the treatment.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"2121\" height=\"1414\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-And-Simulations.jpg\" alt=\"in silico trials\" class=\"wp-image-24542\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-And-Simulations.jpg 2121w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-And-Simulations-768x512.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-And-Simulations-1536x1024.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-And-Simulations-2048x1365.jpg 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FIn-Silico-Trials-And-Simulations-512x341.jpg 512w\" sizes=\"auto, (max-width: 2121px) 100vw, 2121px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: www.knect365.com\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Virtual humans everywhere\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cstrong>While in silico medicine is\nstill in its infancy, there are many promising examples that show the potential\nfor traditional clinical trials to disappear within a couple of years. \u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Ca href=\"http:\u002F\u002Fhummod.org\u002F\">HumMod\u003C\u002Fa> is one of the most advanced simulations to date. It\nprovides a top-down model of human physiology from whole organs to individual\nmolecules. \u003Cstrong>It features more than 1,500\nequations and 6,500 variables such as body fluids, circulation, electrolytes,\nhormones, metabolism, and skin temperature. HumMod aims to simulate how human\nphysiology works, and claims to be the most sophisticated mathematical model of\nhuman physiology ever created.\u003C\u002Fstrong> Various research projects used HumMod\nalready, for example, to create a heterogeneous population of thousand virtual\npatients by randomly varying physiological parameters to examine \u003Ca href=\"http:\u002F\u002Fhummod.org\u002Fprojects\u002F\">how\nreduced renal mass could play a role in causing salt-sensitive hypertension\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>Another great example of the advancement of the field\nis the \u003Ca href=\"https:\u002F\u002Fcordis.europa.eu\u002Fresult\u002Frcn\u002F86061_en.html\">Oncosimulator project\u003C\u002Fa>. The \u003Ca href=\"http:\u002F\u002Fwww.in-silico-oncology.iccs.ntua.gr\u002F\">In Silico Oncology Group\u003C\u002Fa> is developing an in silico experimental platform, as\nwell as an advanced medical decision support tool called Oncosimulator in\ncollaboration with several research centers in Europe and Japan to optimize\ncancer treatment. \u003Cstrong>The oncosimulator is\nan integrated software system simulating in vivo tumor response to therapeutics\nwithin a clinical trial environment. It aims to support clinical\ndecision-making for individual patients. \u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1500\" height=\"1000\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FVirtual-Humans.jpg\" alt=\"in silico trials\" class=\"wp-image-24543\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FVirtual-Humans.jpg 1500w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FVirtual-Humans-768x512.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FVirtual-Humans-512x341.jpg 512w\" sizes=\"auto, (max-width: 1500px) 100vw, 1500px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">Source: https:\u002F\u002Fwww.sth.nhs.uk\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Cstrong>As an excellent cross-industry collaboration, the \u003Ca href=\"https:\u002F\u002Fwww.vph-institute.org\u002Fwhat-is-vph-institute.html\">Virtual Physiological Human Institute\u003C\u002Fa> has to be mentioned.\u003C\u002Fstrong> It is an international non-profit organization, whose mission is to ensure that the Virtual Physiological Human (VPH) is fully realized, universally adopted, and effectively used both in research and clinical settings. Various medical fields can collaborate through the VPH framework, for example, the CARDIOPROOF initiative brought together more than 170 cardiologists to create new, personalized tools for the management of congenital heart disease through advanced computer models. They claim that the web-based application could reduce hospital expenditures by up to 15 percent per patient. Another similar initiative is the \u003Ca href=\"https:\u002F\u002Fsimtk.org\u002Fprojects\u002Fvphop\">Osteoporotic Virtual Physiological Human Project\u003C\u002Fa> to predict the risk of fracture in patients with low bone mass. Nevertheless, the list could go on and on.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>In silico models for regulators?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Recent developments show that not only pharma\ncompanies and medical facilities could make use of in silico medicine. \u003Cstrong>The U.S. Food and Drug Administration also\npicked up on the potential of in silico trials and it’s actively supporting the\ndevelopment of virtual models – for the testing of new medical devices. \u003C\u002Fstrong>\u003C\u002Fp>\n\n\n\n\u003Cp>Early August, the FDA issued a request for computational software and services modeling the whole human heart to incorporate in a project that aims to evaluate new medical devices and therapies. In 2014, the \u003Ca href=\"https:\u002F\u002Fwww.nextgov.com\u002Femerging-tech\u002F2019\u002F08\u002Ffda-seeks-virtual-heart-test-medical-devices\u002F158946\u002F\">FDA initiated its collaboration with French company Dassault Systémes around their simulated 3D heart model\u003C\u002Fa>, which the duo used to test pacemakers and other cardiovascular devices. Through the new project, researchers will incorporate virtual patients and testing to quicken the pace in which devices are tested and adopted. Ultimately, the agency aims to use digital evidence and computer modeling to tackle the delays and costs that hinder patients from getting their hands on new drugs, treatments, or devices. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"1600\" height=\"900\" src=\"https:\u002F\u002F1712507217.rsc.cdn77.org\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FNo-Need-For-Lab-Rats-In-The-Future.jpg\" alt=\"in silico trials\" class=\"wp-image-24544\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FNo-Need-For-Lab-Rats-In-The-Future.jpg 1600w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FNo-Need-For-Lab-Rats-In-The-Future-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FNo-Need-For-Lab-Rats-In-The-Future-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FNo-Need-For-Lab-Rats-In-The-Future-1536x864.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F08\u002FNo-Need-For-Lab-Rats-In-The-Future-512x288.jpg 512w\" sizes=\"auto, (max-width: 1600px) 100vw, 1600px\" \u002F>\u003Cfigcaption class=\"wp-element-caption\">No need for lab rats in the future. Source: www.gizmodo.com\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>We firmly believe that drug development and new therapy experimentation will largely happen through in silico trials in the future, since who would want to test new drugs on animals or humans if we have the possibility to accurately measure the consequences of novel medications or treatment paths virtually. However, we have to mention that regulators will face a new, so far unknown challenge here: they will have to let more and more personalized, cheaper, and more efficient drugs be introduced on the market without being tested on actual humans for years. \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\u003Cp>\u003Cstrong>At The Medical Futurist, we are building a community for making a bold vision about the future of healthcare reality today.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ciframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FFIbMejImnxs\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen=\"\">\u003C\u002Fiframe>\n\u003Cp>If you’d like to support this mission, we invite you to \u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">join The Medical Futurist Patreon Community\u003C\u002Fa>. A community of empowered patients, future-oriented healthcare professionals, concerned health policymakers, sensible health tech developers, and enthusiastic medical students. If there were ever a time to join us, it is now. Every contribution, however big or small, powers our research and sustains our future.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.patreon.com\u002Fthemedicalfuturist\">\u003Cstrong style=\"background-color: #e71d3299; color: #000;\">Click here to support The Medical Futurist from as little as $3\u003C\u002Fstrong>\u003C\u002Fa> – it only takes a minute. Thank you.\u003C\u002Fp>\n\u003C\u002Ftd>\n\u003C\u002Ftr>\n\u003C\u002Ftbody>\n\u003C\u002Ftable>\n\u003Cp> \u003C\u002Fp>\n",{"rendered":200,"protected":20},"\u003Cp>Traditional clinical trials are equivalent of billions of dollars and years of hard work with no guarantee for the new drug to be approved by regulatory bodies, not to speak about the dangers of testing medication on animals and\u002For humans. What if we could take a radical turn? What if we conducted clinical trials on virtual bodies that could perfectly mimic human physiology? With the help of artificial intelligence, enhanced computer simulations, and advances in personalized medicine, in silico trials might be a reality in the coming years.\u003C\u002Fp>\n",{"_acf_changed":20,"footnotes":27},[36,203,204],490,489,[206,207,208,209,38,210,211,212,213,214,215,216,217,218,219,220,221,222],173,175,206,217,246,567,289,677,313,1154,355,1448,356,134,399,144,444,[],[],[56,226,227,228,229,230,231,54,232],1715,1723,1883,2303,3339,3347,1623,[234,14,60,61,62,63,64,70,235,236,237,238,239,240,71,241,242,243,244,245,246,247,248,249,250,251,252,253],"post-24540","category-future-of-pharma","category-personalized-medicine","tag-clinical","tag-clinical-trial","tag-digital","tag-drug","tag-future","tag-in-silico-trials","tag-innovation","tag-drugs","tag-medicine","tag-medication","tag-personalized-medicine","tag-in-silico","tag-pharma-2","tag-ai","tag-simulation","tag-artificial-intelligence","tag-virtual",{"id":24,"alt_text":83,"caption":27,"description":84,"media_type":85,"media_details":255,"post":119,"source_url":120},{"width":87,"height":88,"file":89,"sizes":256,"image_meta":263},{"medium":257,"large":258,"thumbnail":259,"medium_large":260,"1536x1536":261,"2048x2048":262},{"file":92,"width":93,"height":94,"mime-type":95,"source_url":96},{"file":98,"width":99,"height":100,"mime-type":95,"source_url":101},{"file":103,"width":104,"height":104,"mime-type":95,"source_url":105},{"file":98,"width":99,"height":100,"mime-type":95,"source_url":101},{"file":108,"width":109,"height":110,"mime-type":95,"source_url":111},{"file":113,"width":114,"height":115,"mime-type":95,"source_url":116},{"aperture":118,"credit":27,"camera":27,"caption":27,"created_timestamp":118,"copyright":27,"focal_length":118,"iso":118,"shutter_speed":118,"title":27,"orientation":118},{"related_posts":265,"related_posts_footer":269,"cta_type":27,"cta_color":27,"subtitle":27,"related_books":20},[266,267,268],14131,15585,13095,[270,271,272],15834,17208,11882,{"yoast_wpseo_title":274,"yoast_wpseo_metadesc":275,"yoast_wpseo_canonical":194},"Virtual Bodies For Real Drugs: In Silico Clinical Trials Are The Future - The Medical Futurist","With the help of A.I., enhanced computer simulations, and advances in personalized medicine, in silico trials might be a reality in the coming years.",{"self":277,"collection":282,"about":284,"author":286,"replies":288,"version-history":291,"predecessor-version":295,"wp:featuredmedia":299,"wp:attachment":301,"wp:term":304,"curies":315},[278],{"href":279,"targetHints":280},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24540",{"allow":281},[138],[283],{"href":141},[285],{"href":144},[287],{"embeddable":26,"href":147},[289],{"embeddable":26,"href":290},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=24540",[292],{"count":293,"href":294},7,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24540\u002Frevisions",[296],{"id":297,"href":298},50061,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F24540\u002Frevisions\u002F50061",[300],{"embeddable":26,"href":161},[302],{"href":303},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=24540",[305,307,309,311,313],{"taxonomy":167,"embeddable":26,"href":306},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=24540",{"taxonomy":170,"embeddable":26,"href":308},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=24540",{"taxonomy":173,"embeddable":26,"href":310},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=24540",{"taxonomy":176,"embeddable":26,"href":312},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=24540",{"taxonomy":179,"embeddable":26,"href":314},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=24540",[316],{"name":183,"href":184,"templated":26},[318],{"id":126,"date":319,"date_gmt":320,"guid":321,"modified":323,"modified_gmt":324,"slug":325,"status":13,"type":326,"link":327,"title":328,"content":330,"excerpt":332,"author":23,"featured_media":334,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":335,"class_list":338,"better_featured_image":341,"acf":361,"yoast_meta":383,"_links":386},"2020-10-01T10:54:54","2020-10-01T08:54:54",{"rendered":322},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=30419","2023-03-12T18:16:29","2023-03-12T17:16:29","privacy-in-digital-health","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Fprivacy-in-digital-health\u002F",{"rendered":329},"Hackers, Breaches and the Value of Health Data",{"rendered":331,"protected":20},"\n\u003Cp>Today, everyone needs to understand that there is no digital health without sacrificing a part of our privacy. The advanced technologies fueling the transformation cannot improve without our data; and without it, they can’t be implemented as part of regular medical care. And COVID-19 has only made things worse.\u003C\u002Fp>\n\n\n\n\u003Cp>In this e-Book, we defined the three cornerstones of privacy of every privacy discussion going forward: the traditional, the new and the future spheres that deal with your health data, and put forward recommendations on how you can start protecting yourself.\u003C\u002Fp>\n",{"rendered":333,"protected":20},"\u003Cp>Today, everyone needs to understand that there is no digital health without sacrificing a part of our privacy. 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