[{"data":1,"prerenderedAt":473},["ShallowReactive",2],{"slug-why-it-is-important-to-understand-multimodal-large-language-models-in-healthcare":3},{"post":4,"relatedPosts":171,"relatedBooks":381},{"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":33,"project_category":40,"contact_email_category":41,"yst_prominent_words":42,"class_list":46,"better_featured_image":61,"acf":98,"yoast_meta":115,"_links":118},52263,"2025-06-21T12:36:22","2025-06-21T10:36:22",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=52263&_wpnonce=7971828b65&status=auto-draft&type=post","2025-06-21T12:36:23","2025-06-21T10:36:23","why-it-is-important-to-understand-multimodal-large-language-models-in-healthcare","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fwhy-it-is-important-to-understand-multimodal-large-language-models-in-healthcare",{"rendered":17},"The Healthcare Vision of ChatGPT-4o and Multimodal LLMs",{"rendered":19,"protected":20},"\n\u003Cp>The future of medicine is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-chatgpt-revolution-heres-our-new-book-on-generative-ai-in-healthcare\" target=\"_blank\">undoubtedly\u003C\u002Fa> inextricably linked to the development of \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fsearch\u002F?term=AI\" target=\"_blank\">artificial intelligence\u003C\u002Fa> (AI). Although this revolution has been brewing for years, the past few months marked a \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmedpalm-new-ai-medical-chatbots-will-soon-be-better-than-waiting-for-a-doctor\" target=\"_blank\">major change\u003C\u002Fa>, as algorithms finally moved out \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fchatgpt-in-healthcare-what-the-science-says\u002F\" target=\"_blank\">of the specialized labs \u003C\u002Fa>and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fgenerative-ai-explained-its-impact-and-future-in-healthcare\" target=\"_blank\">into\u003C\u002Fa> our daily \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fprompt-engineering-11-tips-to-craft-great-chatgpt-prompts\" target=\"_blank\">lives\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>This revolution accelerated as major tech companies began rolling out their multimodal large language models, promising they will soon be available to the general public. The latest – and perhaps biggest – hit was the announcement of \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Findex\u002Fhello-gpt-4o\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">ChatGPT-4o from OpenAI\u003C\u002Fa>. The 4o model is described as “natively multimodal,” a feature also \u003Ca href=\"https:\u002F\u002Fblog.google\u002Ftechnology\u002Fai\u002Fgoogle-gemini-ai\u002F#sundar-note\" target=\"_blank\" rel=\"noreferrer noopener\">claimed for Google’s Gemini\u003C\u002Fa> at its launch. However, while layman subscribers still lack access to Gemini’s multimodal features, 4o’s partial multimodality is available -albeit with limited use -for free accounts. \u003C\u002Fp>\n\n\n\n\u003Cp>So how did we get here and why is this important? Let’s take a look at the path we’ve traveled in the past 18 months and look into the future so we can understand the significance! \u003C\u002Fp>\n\n\n\n\u003Cp>The public debut of Large Language Models (LLMs), like ChatGPT which became \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.reuters.com\u002Ftechnology\u002Fchatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01\u002F\" target=\"_blank\">the fastest-growing\u003C\u002Fa> consumer application of all time, has been a roaring success. LLMs are machine learning models trained on a vast amount of text data which enables them to understand and generate human-like text based on the patterns and structures they’ve learned. They differ significantly from \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmachine-learning-and-deep-learning-in-medicine\u002F\" target=\"_blank\">prior deep learning methods\u003C\u002Fa> in scale, capabilities, and potential impact. \u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-768x432.png\" alt=\"\" class=\"wp-image-50863\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F05\u002Ftmf_article_362_AI_doctor_robot.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>Large language models will soon find their way\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-does-gpt-4-mean-for-healthcare\" target=\"_blank\"> in to everyday clinical settings\u003C\u002Fa>, simply because the global shortage of healthcare personnel is becoming dire and AI will lend a hand with tasks that do not require skilled medical professionals. But before this can happen,\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhy-and-how-to-regulate-chatgpt-like-large-language-models-in-healthcare\" target=\"_blank\"> before we have\u003C\u002Fa> a \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-best-practices-policy-makers-free-report\" target=\"_blank\">sufficiently robust regulatory framework\u003C\u002Fa> in place we are already seeing how this new technology is being used \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002F5-ai-tools-that-could-help-build-a-medical-practice\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">in everyday life\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>To better understand what lies ahead, let’s explore another key concept that will play a significant role in the transformation of medicine: \u003Cstrong>multimodality\u003C\u002Fstrong>.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">Doctors and nurses are supercomputers, medical AI is a calculator\u003C\u002Fh2>\n\n\n\n\u003Cp>A multimodal system can process and interpret multiple types of input data, such as text, images, audio, and video, simultaneously. Current medical AIs only process one type of data, for example, text or X-ray images. \u003C\u002Fp>\n\n\n\n\u003Cp>However, medicine, by nature, is multimodal as are humans. To diagnose and treat a patient, a healthcare professional listens to the patient, reads their health files, looks at medical images and interprets laboratory results. This is far beyond what any AI is capable of today. \u003C\u002Fp>\n\n\n\n\u003Cp>The difference between the two can be likened to the difference between a runner and a pentathlete. A runner excels in one discipline, whereas a pentathlete must excel in multiple disciplines to succeed.\u003C\u002Fp>\n\n\n\n\u003Cp>Most current Large Language Models (LLMs) are the runners, they are unimodal. Humans in medicine are champions of pentathlon teams.\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01-768x432.png\" alt=\"\" class=\"wp-image-52139\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002F0821_generative-ai-cover-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>At the moment most Large Language Models (LLMs) are unimodal, meaning they can only analyze texts. GPT-4 can analyze images and understands voice commands in the phone app, and so does ChatGPT-4o. These models can also generate images. The rest of the multimodal capabilities are not yet available to everyday subscribers.  Other widely used LLMs, like Google’s Gemini or Claude AI, can interpret image prompts (such as a chart), but can’t generate image responses yet. Meanwhile, Google is reportedly working on pioneering the medical large language model arena with a range of models, including the latest: \u003Ca href=\"https:\u002F\u002Fresearch.google\u002Fblog\u002Fadvancing-medical-ai-with-med-gemini\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Med-Gemini\u003C\u002Fa>. \u003C\u002Fp>\n\n\n\n\u003Cp>All in all, from The Medical Futurist’s perspective, it’s clear that multimodal LLMs (M-LLMs) with full functionality will arrive soon, otherwise AI won’t be able to significantly contribute to the multimodal nature of medicine and care. These systems will considerably reduce the workload of – but not replace- human healthcare professionals.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">The future is M-LLMs\u003C\u002Fh2>\n\n\n\n\u003Cp>The development of M-LLMs will have at least three significant consequences:\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">1. AI will handle multiple types of content, from images to audio\u003C\u002Fh3>\n\n\n\n\u003Cp>An M-LLM will be able to process and interpret various kinds of content, which is crucial for a comprehensive analysis in medicine. We could list hundreds of examples regarding the benefits of such a system but will mention only a few in the following five categories: \u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cstrong>Text analysis\u003C\u002Fstrong>: M-LLMs will be capable of handling a vast amount of administrative, clinical, educational and marketing tasks, from updating electronic medical records to solving case studies\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Image analysis\u003C\u002Fstrong>: another broad area in terms of potential use cases, which spans from reading handwritten notes to analysing radiology (ophthalmology, neurology, pathology, etc.) images\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Sound analysis\u003C\u002Fstrong>: M-LLMs will eventually become competent in disease monitoring such as checking heart and lung sounds for abnormalities to ensure early detection, but sounds can also provide valuable info in mental health and rehabilitation applications\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Video analysis\u003C\u002Fstrong>: an advanced algorithm will be able to guide a medical student in virtual reality surgery training regarding how to aim precisely, move, proceed, but videos could also be used to detect neurological conditions or to support patients communicating with sign language. \u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cstrong>Complex document analysis\u003C\u002Fstrong>: this will include assistance in literature review and research, analysis of medical guidelines for clinical decision-making, and clinical coding among many other forms of use \u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">2. It will break language barriers\u003C\u002Fh3>\n\n\n\n\u003Cdiv class=\"wp-block-group\">\u003Cdiv class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n\u003Cp>These M-LLMs will easily facilitate communication between healthcare providers and patients who speak different languages, translating between various languages in real time. Just as we’ve seen how \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=c2DFg53Zhvw\" target=\"_blank\">live translation works with ChatGPT-4o\u003C\u002Fa>. It’s obvious what a potential removing language barriers holds for medical appointments.\u003Cbr>\u003Cbr>\u003Cstrong>Specialist\u003C\u002Fstrong>: “Can you please point to where it hurts?”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>M-LLM \u003C\u002Fstrong>(Translating for Patient): “¿Puede señalar dónde le duele?”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Patient \u003C\u002Fstrong>points to lower abdomen.\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>M-LLM \u003C\u002Fstrong>(Translating for Specialist): “The patient is pointing to the lower abdomen.”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Specialist\u003C\u002Fstrong>: “On a scale from 1 to 10, how would you rate your pain?”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>M-LLM\u003C\u002Fstrong> (Translating for Patient): “En una escala del 1 al 10, ¿cómo calificaría su dolor?”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>Patient\u003C\u002Fstrong>: “Es un 8.”\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>M-LLM\u003C\u002Fstrong> (Translating for Specialist): “It is an 8.\u003C\u002Fp>\n\u003C\u002Fdiv>\u003C\u002Fdiv>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">3. Finally, the arrival of interoperability can connect and harmonise various hospital systems\u003C\u002Fh3>\n\n\n\n\u003Cp>An M-LLM could serve as a central hub that facilitates access to various unimodal AIs used in the hospital, such as radiology software, insurance handling software, Electronic Medical Records (EMR), etc. The situation today is as follows:\u003C\u002Fp>\n\n\n\n\u003Cp>One company manufactures software for the radiology department which use a certain format of AI in their daily work. Another company’s algorithm works with the hospital’s electronic medical records, and yet another third-party suplier creates AI to compile insurance reports. However, doctors typically only have access to the system strictly related to their field, for example, a radiologist has access to the radiological AI, but a cardiologist does not. And of course, these algorithms don’t communicate with each other. If the cardiology department used an algorithm that analysed heart and lung signs, gastroenterologists or psychiatrists very likely wouldn’t have access to it – even though its findings may be useful for their diagnosis as well.  \u003C\u002Fp>\n\n\n\n\u003Cp>The significant step will be when M-LLMs – eventually – become capable of understanding the language and format of all these software applications and help people communicate with them. An average doctor will then be able to easily work with the radiological AI software, the AI software managing the EMRs, and the fourth, and eighth (etc. ) AI used in the hospital.\u003C\u002Fp>\n\n\n\n\u003Cp>This potential is very important because such a breakthrough won’t come about in any other way. No single company will come up with such software because they don’t have access to the AI data developed by individual companies. The M-LLM however will be able to communicate with these systems individually and, as a central hub, will provide a tool of immense importance to doctors.\u003C\u002Fp>\n\n\n\n\u003Cp>The transition from unimodal to multimodal AI is a necessary step to fully harness the potential of AI in medicine. By developing M-LLMs that can process multiple types of content, break language barriers, and facilitate access to other AI applications, we can revolutionize the way we practice medicine. The journey from being a calculator to matching the supercomputers we call doctors is challenging, but it is a revolution happening in front of our eyes.\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Medical AI can’t interpret complex cases yet. The arrival of multimodal large language models like ChatGPT-4o starts the real revolution.\u003C\u002Fp>\n",6,52331,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32],7079,504,[34,35,36,37,38,39],7953,7955,7741,7859,7863,7865,[],[],[43,44,45],1723,1795,1833,[47,14,48,49,50,51,52,53,54,55,56,57,58,59,60],"post-52263","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tmf","category-artificial-intelligence","tag-chatgpt-4o","tag-google-gemini","tag-large-language-models","tag-multimodal-ai","tag-multimodal-large-language-models","tag-multimodal-llm",{"id":24,"alt_text":27,"caption":27,"description":27,"media_type":62,"media_details":63,"post":5,"source_url":97},"image",{"width":64,"height":65,"file":66,"filesize":67,"sizes":68,"image_meta":94},1920,1080,"2023\u002F08\u002Ftmf_article_384.png",392679,{"medium":69,"large":76,"thumbnail":82,"medium_large":87,"1536x1536":88},{"file":70,"width":71,"height":72,"mime-type":73,"filesize":74,"source_url":75},"tmf_article_384-370x208.png",370,208,"image\u002Fpng",39197,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-370x208.png",{"file":77,"width":78,"height":79,"mime-type":73,"filesize":80,"source_url":81},"tmf_article_384-768x432.png",768,432,102764,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-768x432.png",{"file":83,"width":84,"height":84,"mime-type":73,"filesize":85,"source_url":86},"tmf_article_384-150x150.png",150,15310,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-150x150.png",{"file":77,"width":78,"height":79,"mime-type":73,"filesize":80,"source_url":81},{"file":89,"width":90,"height":91,"mime-type":73,"filesize":92,"source_url":93},"tmf_article_384-1536x864.png",1536,864,246516,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384-1536x864.png",{"aperture":95,"credit":27,"camera":27,"caption":27,"created_timestamp":95,"copyright":27,"focal_length":95,"iso":95,"shutter_speed":95,"title":27,"orientation":95,"keywords":96},"0",[],"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F08\u002Ftmf_article_384.png",{"cta_type":99,"cta_color":27,"related_books":100,"related_posts_footer":104,"related_posts":20,"subtitle":27,"key_takeaways":108},"subscribe",[101,102,103],52203,47427,31417,[105,106,107],24858,51555,12808,[109,111,113],{"title":110},"\u003Cp>The development of multimodal large language models (M-LLMs) is crucial for the future of medicine as they can process and interpret multiple types of data simultaneously, unlike current unimodal AI systems. This will enable comprehensive analysis in medicine, facilitate communication between healthcare providers and patients speaking different languages, and serve as a central hub for various unimodal AI applications in hospitals.\u003C\u002Fp>\n",{"title":112},"\u003Cp>While the public debut of Large Language Models (LLMs) like ChatGPT has been a resounding success, current AI systems lack the capability to process multiple types of data, making them inadequate for the multimodal nature of medicine. The transition to M-LLMs will be necessary to substantially reduce the workload of healthcare professionals.\u003C\u002Fp>\n",{"title":114},"\u003Cp>This journey is challenging but necessary to move medical AI from being a ‘calculator’ to matching the ‘supercomputers’ we call doctors\u003C\u002Fp>\n",{"yoast_wpseo_title":116,"yoast_wpseo_metadesc":117,"yoast_wpseo_canonical":15},"Multimodal Large Language Models In Healthcare: The Next Big Thing","Medical AI can't interpret complex cases yet. The arrival of multimodal large language models like ChatGPT-4o starts the real revolution.",{"self":119,"collection":125,"about":128,"author":131,"replies":134,"version-history":137,"predecessor-version":141,"wp:featuredmedia":145,"wp:attachment":148,"wp:term":151,"curies":167},[120],{"href":121,"targetHints":122},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F52263",{"allow":123},[124],"GET",[126],{"href":127},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[129],{"href":130},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[132],{"embeddable":26,"href":133},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F6",[135],{"embeddable":26,"href":136},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=52263",[138],{"count":139,"href":140},22,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F52263\u002Frevisions",[142],{"id":143,"href":144},58873,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F52263\u002Frevisions\u002F58873",[146],{"embeddable":26,"href":147},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F52331",[149],{"href":150},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=52263",[152,155,158,161,164],{"taxonomy":153,"embeddable":26,"href":154},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=52263",{"taxonomy":156,"embeddable":26,"href":157},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=52263",{"taxonomy":159,"embeddable":26,"href":160},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=52263",{"taxonomy":162,"embeddable":26,"href":163},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=52263",{"taxonomy":165,"embeddable":26,"href":166},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=52263",[168],{"name":169,"href":170,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[172],{"id":107,"date":173,"date_gmt":174,"guid":175,"modified":177,"modified_gmt":178,"slug":179,"status":13,"type":14,"link":180,"title":181,"content":183,"excerpt":185,"author":23,"featured_media":187,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":188,"categories":189,"tags":205,"project_category":230,"contact_email_category":238,"yst_prominent_words":239,"class_list":248,"better_featured_image":296,"acf":324,"yoast_meta":336,"_links":339},"2025-04-22T09:06:47","2025-04-22T07:06:47",{"rendered":176},"http:\u002F\u002Fthemedicalfuturist.melkweg.hu\u002F?p=12808","2025-04-22T13:09:28","2025-04-22T11:09:28","technologies-that-will-shape-the-future-of-cancer-care","https:\u002F\u002Fmedicalfuturist.com\u002Ftechnologies-that-will-shape-the-future-of-cancer-care",{"rendered":182},"13 Technologies That Will Shape The Future Of Cancer Care",{"rendered":184,"protected":20},"\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Cancer is \u003C\u002Fspan>a \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.who.int\u002Fnews-room\u002Ffact-sheets\u002Fdetail\u002Fcancer\" target=\"_blank\">leading cause of death worldwide\u003C\u002Fa>, accounting for nearly 10 million deaths annually, or nearly one in six deaths\u003Cspan style=\"font-weight: 400;\">. It poses a physical, emotional and financial burden on individuals, families, societies and governments.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Cancer research is one of the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-digital-health-future-of-oncology\u002F\" target=\"_blank\">most significant areas of research\u003C\u002Fa> in healthcare worldwide. The inventions that led to the rapid COVID-19 vaccine developments originally were aimed at curing cancer – \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fmrna-vaccines-from-tackling-pandemic-to-treating-cancer\" target=\"_blank\">the mRNA technology\u003C\u002Fa>, for example. Today, it has become a forward-looking concept for cancer immunotherapy, and researchers \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmolecular-cancer.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12943-021-01335-5\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">expect the field to grow\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> convincingly in the future. \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">The three essential levels in cancer care are \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cul class=\"wp-block-list\">\n\u003Cli>\u003Cspan style=\"font-weight: 400;\">prevention and diagnosis, \u003C\u002Fspan>\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cspan style=\"font-weight: 400;\">treatment,\u003C\u002Fspan>\u003C\u002Fli>\n\n\n\n\u003Cli>\u003Cspan style=\"font-weight: 400;\">and monitoring of the disease\u003C\u002Fspan>\u003C\u002Fli>\n\u003C\u002Ful>\n\n\n\n\u003Cp>can help beat cancer for good. The technologies we list below are separated according to these phases.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>Prevention and diagnosis \u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Cancer diagnosis must be early and accurate. Many cancer types cannot yet be detected early enough, while others are caught in time but treated too severely. This notion requires excellent healthcare facilities, new diagnosis technologies, and the proactivity of patients. We’ll see the following fields to earn additional momentum in the coming years.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">1. Liquid biopsy\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.cancer.gov\u002Fpublications\u002Fdictionaries\u002Fcancer-terms\u002Fdef\u002Fliquid-biopsy\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">Liquid biopsy\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> is the analysis of tumours using biomarkers circulating in fluids such as the blood. It can be used for the early detection of cancer. During cancer treatments, re-biopsies are needed to adjust the treatment plan. It means taking a new sample from the ever-changing tumour to define the next step of the therapy. With the current invasive biopsy techniques, this is a considerable challenge for patients and medical professionals alike. Fluid biopsy extracts cancer cells from a simple blood sample. The use of \u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Fsearch?q=liquid%20biopsy&date_range=last_year&order=relevance\" target=\"_blank\" rel=\"noreferrer noopener\">biomarkers in the blood is transforming\u003C\u002Fa> cancer diagnosis \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fd41586-020-00844-5\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">already\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">, and I firmly believe the method should be the primary process for all biopsies where possible.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">2. Real-time cancer diagnostics\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">There are multiple exciting technologies for the diagnosis of tumours during surgery. A large-scale \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F31342360\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">study in 2019 found\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> that over 20% of women who had breast cancer had to undergo a second operation because malignant cells had been left undetected the first time. A new tool that \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.massdevice.com\u002Fthis-imaging-device-could-be-a-breakthrough-for-breast-cancer-treatment\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">got the FDA breakthrough\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> device designation in October 2020 aims to solve this issue. OncoRes Medical’s imaging device provides essential intraoperative information available to surgeons during a lumpectomy. The handheld device uses AI to assist with identifying tumour and healthy tissue, thereby \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fddebaa16-b003-4ac2-b05d-06b4e7c28ad4.filesusr.com\u002Fugd\u002F611b88_f20c26e047c3496e8096ef84f0933557.pdf\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">substantially improving\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> outcomes in breast-conserving surgery and reducing repeat operations for women with breast cancer.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">3. Understanding genetic and lifestyle causes of diseases\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">By getting some explicit knowledge about what genetic and environmental factors lead to the different types of cancers, including the given patient’s genetic makeup; it would be possible to catch cancer in its infancy. This requires process innovation in healthcare and more precise and specific cancer biomarkers supported by \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fsearch\u002F?term=DNA%20test\" target=\"_blank\">better screening technologies\u003C\u002Fa>. For example, when I took the \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fatlas-biomed-genetic-test-review\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">Atlas Biomed genetic test\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">, I learnt a lot about my own body and how it works, and by knowing the risk factors, I was able to design a preventive plan with my primary care physicians and my genetic counsellor. On the downside, Atlas doesn’t examine the gene variants for complex cancer risks. \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-768x432.png\" alt=\"\" class=\"wp-image-32629\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F02\u002Ftmf_article_243-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">However, another company, \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fi-got-my-whole-genome-sequenced-heres-what-i-learned\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">Dante Labs \u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">does so. \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=HOEMj3J_BrU&t=1s\" target=\"_blank\">Their \u003C\u002Fa>DNA package contains a hereditary cancer report with risks, e.g. for colorectal or prostate cancer, but I must warn you to take these results with caution: risks and actual diseases are two different things.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>Treatment\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Cancer treatment varies from surgery and various therapies to destroy any malignant cells in the body, targeted therapies and stem cell transplants. Biomarkers can help determine what kind of therapy would work best. Precision oncology helps find the available targeted therapies. The price of new drugs is going up steeply, and personalised drugs cost even more – but they bear the promise of being more effective than generic medications. As medical and technological innovations expand cancer treatment, the possibility for super-focused drugs is \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC6352312\u002F\">\u003Cspan style=\"font-weight: 400;\">getting nearer\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> in oncology treatments.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">4. Next-generation targeted therapies\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">There are drugs that can block cancer growth or spread by interfering with specific molecules involved in the development, progression, and spread of cancer. Such \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.cancer.gov\u002Fabout-cancer\u002Ftreatment\u002Ftypes\u002Ftargeted-therapies\u002Ftargeted-therapies-fact-sheet\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">targeted therapies\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> are designed only to stop cancerous cells, using information about a person’s genes and proteins. Such precision drugs can \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC6352312\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">contribute to the prevention\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">, diagnosis and treatment of the disease, resulting in unbounded patient benefits. Next-generation targeted therapies have already gained momentum in the past couple of years. I expect the field to take off rapidly as the costs of the technology will inevitably go down as the technology will be more available, therefore more affordable.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">5. Molecular cancer diagnostics\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Matching the right targeted therapy to the right patient based on the individual molecular genetic alterations in each cancer patient’s tumour is a promising and attractive precision oncology approach. \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.oncompassmedicine.com\u002F\">\u003Cspan style=\"font-weight: 400;\">Oncompass Medicine\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> uses AI-based algorithms to match genetic mutations found in patients’ tumour samples with effective targeted cancer therapies. This way, patients can receive precisely targeted treatments specific to the kind of cancerous tissue they have. Their RealTime Oncology Treatment Calculator can significantly improve the selection of the right targeted therapy for each cancer patient based on the individual molecular genetic profile of their cancer.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">6. AI-based therapy design\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Even if we can extract tumour cells from blood and sequence their DNA as fast as possible, deciding on the treatment is still a struggle. No oncologist can see through the millions of studies and thousands of clinical trials by keeping all of the patient’s parameters and mutations in mind. However, artificial intelligence algorithms can. In the U.K., Addenbrooke’s Hospital in Cambridge uses \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.healthcareitnews.com\u002Fnews\u002Femea\u002Fuk-hospital-first-use-ai-cancer-treatment-tool\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">Project InnerEye\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">, an AI deep-learning tool supporting the treatment of cancer patients. The AI analyses hospital data to identify tumours on patient scans. \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-768x432.png\" alt=\"AI medical coding doctor, hospital, clinic, man, laptop, computer\" class=\"wp-image-51069\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365-2048x1152.png 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2023\u002F06\u002Ftmf_article_365.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">And it’s amazingly reliable, cutting CT processing times and treatment planning by up to 90%. Dutch researchers developed an evolutionary algorithm with intelligent search behaviour to generate better solutions at an ever-increasing speed. The AI created \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.cwi.nl\u002Fnews\u002Fblogs\u002Fai-calculates-best-treatment-plan\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">“\u003Cem>better plans and more insight\u003C\u002Fem>\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">\u003Cem> than the doctors thought possible\u003C\u002Fem>.”\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">7. In silico trials\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">In principle, clinical trials take years and cost more than 2 billion dollars for every approved treatment. The number of failed drug candidates is enormous, so spending years and millions on a clinical trial is no guarantee to lead to an approved treatment. However, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-future-of-clinical-trials-artificial-patients-synthetic-data-and-real-time-analysis\" target=\"_blank\">the world of clinical trials is changing\u003C\u002Fa>. Trials should unquestionably use more data and AI models. \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fpharmaphorum.com\u002Fdigital\u002Fnow-what-the-future-of-clinical-trials-after-the-pandemic\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">It is inevitable\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> to build the right skill sets to implement new technologies. Novel approaches like in silico trials with advanced biological networks, organs-on-a-chip or even network medicine will then help choose the right drug candidates within seconds.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">8. DNA cages\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Most cancer treatments today destroy not only cancerous cells but also healthy ones. The ultimate goal is to deliver drugs only to cells that need to be treated. Using DNA cages holding medications might be the answer. Cancer cells can trigger the \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.frontiersin.org\u002Farticles\u002F10.3389\u002Ffphar.2019.01585\u002Ffull\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">DNA cage\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> to open, and thus the drug could only impact those cells, but not the healthy ones. The next level of this targeted therapy is \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.imperial.ac.uk\u002Fnews\u002F218893\u002Fcancer-drugs-could-delivered-molecular-cages\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">investigated\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> at The Imperial College London, where researchers used light as a trigger to open the cage and release the drug inside.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">9. Precision surgery\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Surgeons using surgical robots such as DaVinci are capable of performing operations with previously unachievable precision. By making the robot an extension of the surgeon’s mind and skills, operating tumours in early stages or tumours close to sensitive organs might become more feasible than ever. \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-technological-future-of-surgery\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">Surgical robots today\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> have 3D cameras that can \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.nytimes.com\u002F2021\u002F04\u002F30\u002Ftechnology\u002Frobot-surgery-surgeon.html\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">record operations\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> and stream at the same time. The robot’s added value is to \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.wsj.com\u002Farticles\u002Fautonomous-robots-are-coming-to-the-operating-room-11599786000?mod=article_inline\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">assist the surgeon\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> in suturing, dissecting and retracting tissue, leading to more precision in surgery than ever.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital-768x432.png\" alt=\"hospital, digital health, device, doctor TMF, cancer care\" class=\"wp-image-48231\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F11\u002Ftmf_article_342-01_digital-health-hospital.png 1800w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cb>Monitoring and providing care\u003C\u002Fb>\u003C\u002Fh2>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">A cancer diagnosis is a traumatic event for everyone. Although patients meet their caregivers in person many times, they are often left to cope with chronic pain or powerful side effects for the rest of the treatment and recovery process. New technologies could improve their experience – as well as the experience of their loved ones around them.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">10. Embedded, implanted and digestible sensors\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">In many cases, measuring health parameters at home would be a huge addition to cancer care. Measuring body temperature, for example, is key in monitoring the effects of chemotherapy. What if a sensor on the patient’s skin could constantly measure body temperature and notify the patient when the fever goes up? Digestible pillcams could be used to perform non-invasive routine checkups on the digestive system at home. Implanted sensors or digital tattoos could monitor every important vital sign, triggering an alarm to both the patient and the caregiver, so interventions can be planned as quickly as possible.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">While there’s a large set of wearables \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC7688381\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">oncology patients could use\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> for at-home monitoring of vital signs or physical activities, these devices aren’t used much for this purpose. Both studies on the issue and medical education are missing. However, embedded or implanted sensors (like in a \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.contactlensjournal.com\u002Farticle\u002FS1367-0484(21)00021-7\u002Ffulltext\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">contact lens\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">, where the tear film is suited to detect cancer biomarkers) have a huge potential in the future.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">11. Measuring lab markers at home\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">The pandemic has pushed healthcare to use\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-rise-of-at-home-lab-tests\" target=\"_blank\"> at-home lab tests\u003C\u002Fa> more \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdiy-blood-draw-could-patients-collect-blood-at-home\" target=\"_blank\">widely\u003C\u002Fa>. During chemotherapy, blood markers, especially white blood cell count, must be checked routinely to make sure the patient’s immune system is still intact. \u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002F5.-controversial-Tasso-768x432.png\" alt=\"\" class=\"wp-image-48431\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002F5.-controversial-Tasso-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002F5.-controversial-Tasso-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2022\u002F12\u002F5.-controversial-Tasso.png 1066w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Cancer patients with easily compromised immune systems face more challenges in this regard when visiting busy hospitals. \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fthepathologist.com\u002Fsubspecialties\u002Fhome-based-tests-for-cancer-patients\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">Point-of-care testing\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> (POCT) can provide a viable option. At-home testing and diagnostic options will \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedcitynews.com\u002F2020\u002F07\u002Fthe-role-of-home-based-blood-diagnostics-in-future-cancer-care\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">keep patients safe\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> and their immune systems intact.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">12. Patient networks\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Networking sites such as \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.smartpatients.com\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">\u003Cspan style=\"font-weight: 400;\">SmartPatients\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> (originally a cancer patient empowering site) were designed to help patients find and support each other. These channels offer a lively community where patients, families and caregivers learn from each other about treatments, clinical trials or the latest science. The feeling of community and seeing others cope with the same hardships can boost not just the mental but also the physical well-being of cancer patients.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Ch3 class=\"wp-block-heading\">13. Pain management\u003C\u002Fh3>\n\n\n\n\u003Cp>\u003Cspan style=\"font-weight: 400;\">Cancer and its treatments can induce extreme, chronic pain. In the past, cancer patients were relegated to continuous, increasing doses of painkillers and opioids. Companies are now developing devices that help ease symptoms and side effects. A good example is \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fclinicaltrials.gov\u002Fct2\u002Fshow\u002FNCT02809846\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">Quell\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">, a wearable technology with intensive nerve stimulation clinically proven to help manage chronic pain. It’s FDA-approved and clinically proven to relieve chronic pain. Another technology, \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fabs\u002Fpii\u002FS1524904220301168\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">virtual reality\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\">, can also serve cancer patients in pain reduction by distracting the patients. Although the \u003C\u002Fspan>\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpmc\u002Farticles\u002FPMC7226660\u002F\" target=\"_blank\">\u003Cspan style=\"font-weight: 400;\">effectiveness of adjunctive therapy\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan style=\"font-weight: 400;\"> is not entirely measurable, respondents found the therapy to be beneficial.\u003C\u002Fspan>\u003C\u002Fp>\n\n\n\n\u003Cp>\u003Cstrong>\u003Cb>These technologies show a glimpse into the future – and in some cases, that future is here already. We need to keep on pushing the limits to get to a stage where the diagnosis of cancer is not a life-altering event that often brings an untimely end to a patient’s life, but at least a manageable, chronic condition\u003C\u002Fb>.\u003C\u002Fstrong>\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\n\n\n\u003Cp>\u003C\u002Fp>\n",{"rendered":186,"protected":20},"\u003Cp>We listed devices and technologies with the promise of curing cancer or transforming it into a manageable chronic disease. \u003C\u002Fp>\n",34685,{"_acf_changed":20,"footnotes":27},[190,191,32,192,193,194,195,196,197,198,199,200,201,202,203,204],6479,6261,500,798,491,521,488,496,499,516,507,489,497,494,514,[206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229],260,7161,7163,7165,545,7167,567,7169,606,7171,976,6041,658,7173,1137,7175,1463,821,7177,163,6999,7179,259,7157,[231,232,233,234,235,236,237],947,948,949,950,951,952,953,[],[240,241,242,243,244,245,246,247],1841,1883,2255,2947,2967,5499,1621,1631,[249,14,48,49,50,51,52,250,251,54,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295],"post-12808","category-covid-19","category-forecast","category-biotechnology","category-digital-health-research","category-empowered-patients","category-future-medicine","category-genomics","category-health-sensors-trackers","category-healthcare-design","category-medical-education","category-nanotechnology","category-personalized-medicine","category-portable-diagnostics","category-telemedicine","category-virtual-reality","tag-genetics","tag-joe-biden","tag-cancer-moonshot","tag-barack-obama","tag-sensors","tag-fluid-biopsy","tag-in-silico-trials","tag-targeted-therapies","tag-prevention","tag-molecular-diagnostics","tag-biomarkers","tag-covid-19","tag-oncology","tag-oncompass","tag-dante-labs","tag-dna-cages","tag-atlas-biomed","tag-a-i","tag-precision-surgery","tag-cancer-2","tag-mrna","tag-quell","tag-genetic-testing","tag-poct","project_category-company","project_category-developers","project_category-educators","project_category-medical-professionals","project_category-patients","project_category-policy-makers","project_category-researchers",{"id":187,"alt_text":27,"caption":27,"description":297,"media_type":62,"media_details":298,"post":322,"source_url":323},"The future of cancer care",{"width":64,"height":65,"file":299,"sizes":300,"image_meta":321},"2021\u002F06\u002Ftmf_article_273-01.png",{"medium":301,"large":306,"thumbnail":311,"medium_large":315,"1536x1536":316},{"file":302,"width":303,"height":304,"mime-type":73,"source_url":305},"tmf_article_273-01-370x208.png","370","208","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_273-01-370x208.png",{"file":307,"width":308,"height":309,"mime-type":73,"source_url":310},"tmf_article_273-01-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_273-01-768x432.png",{"file":312,"width":313,"height":313,"mime-type":73,"source_url":314},"tmf_article_273-01-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_273-01-150x150.png",{"file":307,"width":308,"height":309,"mime-type":73,"source_url":310},{"file":317,"width":318,"height":319,"mime-type":73,"source_url":320},"tmf_article_273-01-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_273-01-1536x864.png",{"aperture":95,"credit":27,"camera":27,"caption":27,"created_timestamp":95,"copyright":27,"focal_length":95,"iso":95,"shutter_speed":95,"title":27,"orientation":95},34659,"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2021\u002F06\u002Ftmf_article_273-01.png",{"subtitle":27,"cta_type":99,"cta_color":27,"related_posts_footer":325,"related_posts":20,"related_books":328,"key_takeaways":331},[105,326,327],51747,51875,[102,329,330],34151,24764,[332,334],{"title":333},"\u003Cp>Early and precise cancer detection is being revolutionized through innovations like liquid biopsy and AI-powered tools.\u003C\u002Fp>\n",{"title":335},"\u003Cp>These technologies are pushing towards making cancer a chronic, rather than life-ending, condition.\u003C\u002Fp>\n",{"yoast_wpseo_title":337,"yoast_wpseo_metadesc":338,"yoast_wpseo_canonical":180},"13 Technologies That Will Shape The Future of Cancer Care","The devices and technologies with the promise of curing cancer or transforming it into a manageable chronic disease. Here are 13 promising technologies.",{"self":340,"collection":345,"about":347,"author":349,"replies":351,"version-history":354,"predecessor-version":358,"wp:featuredmedia":362,"wp:attachment":365,"wp:term":368,"curies":379},[341],{"href":342,"targetHints":343},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F12808",{"allow":344},[124],[346],{"href":127},[348],{"href":130},[350],{"embeddable":26,"href":133},[352],{"embeddable":26,"href":353},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=12808",[355],{"count":356,"href":357},40,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F12808\u002Frevisions",[359],{"id":360,"href":361},58693,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F12808\u002Frevisions\u002F58693",[363],{"embeddable":26,"href":364},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F34685",[366],{"href":367},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=12808",[369,371,373,375,377],{"taxonomy":153,"embeddable":26,"href":370},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=12808",{"taxonomy":156,"embeddable":26,"href":372},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=12808",{"taxonomy":159,"embeddable":26,"href":374},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=12808",{"taxonomy":162,"embeddable":26,"href":376},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=12808",{"taxonomy":165,"embeddable":26,"href":378},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=12808",[380],{"name":169,"href":170,"templated":26},[382],{"id":103,"date":383,"date_gmt":384,"guid":385,"modified":387,"modified_gmt":388,"slug":389,"status":13,"type":390,"link":391,"title":392,"content":394,"excerpt":396,"author":23,"featured_media":398,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":399,"class_list":403,"better_featured_image":406,"acf":424,"yoast_meta":442,"_links":445},"2020-12-02T08:54:13","2020-12-02T07:54:13",{"rendered":386},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=31417","2023-03-12T18:17:41","2023-03-12T17:17:41","invest-in-digital-health","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Finvest-in-digital-health\u002F",{"rendered":393},"Invest In Digital Health – The Medical Futurist’s Guide",{"rendered":395,"protected":20},"\n\u003Cp>Artificial Intelligence and Digital Health are booming. In this book, we explain why now it’s a good time to invest in Digital Health and give recommendations on where to invest by looking at the top 24 technological trends we find the most promising.\u003C\u002Fp>\n",{"rendered":397,"protected":20},"\u003Cp>Artificial Intelligence and Digital Health are booming. 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