[{"data":1,"prerenderedAt":443},["ShallowReactive",2],{"slug-network-medicine-in-the-fight-against-covid-19":3},{"post":4,"relatedPosts":195,"relatedBooks":327},{"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":35,"project_category":45,"contact_email_category":50,"yst_prominent_words":51,"class_list":72,"better_featured_image":96,"acf":130,"yoast_meta":139,"_links":142},28171,"2020-05-21T10:00:00","2020-05-21T08:00:00",{"rendered":9},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=28171&_wpnonce=d6bde9f250&status=auto-draft&type=post","2021-01-21T09:55:57","2021-01-21T08:55:57","network-medicine-in-the-fight-against-covid-19","publish","post","https:\u002F\u002Fmedicalfuturist.com\u002Fnetwork-medicine-in-the-fight-against-covid-19",{"rendered":17},"Network Medicine in the Fight Against COVID-19",{"rendered":19,"protected":20},"\n\u003Cp>COVID-19 forced stakeholders in the healthcare landscape to adopt a new perspective in this sphere. Telemedicine \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fcovid-19-was-needed-for-telemedicine-to-finally-go-mainstream\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">rose to fame\u003C\u002Fa> as a ready-made solution; artificial intelligence’s contribution \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-sober-state-of-artificial-intelligence-in-the-fight-against-covid-19\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">became more apparent\u003C\u002Fa> from early outbreak predictions to resource management; and \u003Ca href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhow-digital-health-technology-can-help-manage-the-coronavirus-outbreak\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">digital health technologies\u003C\u002Fa> lent a helping hand early on.\u003C\u002Fp>\n\n\n\n\u003Cp>Another promising area joining the fight is network medicine, a branch of network science. The latter field studies the interaction between actors within a network. Such analyses are applicable to virtually any sector, from the world wide web through social networks to how molecules interact with each other. Applying such theories to human biology yields network medicine; the study of biological networks to better understand and help treat diseases. \u003C\u002Fp>\n\n\n\n\u003Cp>One of network medicine’s pioneers is \u003Cstrong>Albert-László Barabási\u003C\u002Fstrong>, a distinguished university professor at Northeastern University in Boston, and his research lab, the BarabasiLab. In \u003Cstrong>less than 10 days\u003C\u002Fstrong> since repurposing their network medicine toolset to find a treatment for COVID-19, the BarabasiLab had \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fcovid.barabasilab.com\u002F2020\u002F04\u002Fnetwork-based-embedding-of-all-human.html\" target=\"_blank\">a list of promising drugs\u003C\u002Fa> for testing in human cell lines in an experimental lab. We turned to Prof. Barabási for additional insights regarding network medicine’s contribution in the COVID-19 fight. But first, let’s get acquainted with the science in question before turning to the scientists behind it.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>What is network science?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>It is often claimed that “\u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.researchgate.net\u002Fpublication\u002F259432292_What_is_network_science\" target=\"_blank\">networks are everywhere\u003C\u002Fa>”, and it’s not far from the truth. Network science hails its origin from scientists studying the interaction between entities, essentially, analyzing their networks. Two major components make up those networks: nodes (or vertices) and links (or edges). The latter are the connections between the nodes, which themselves represent anything from individual humans to websites to economic systems to, you guessed it, viruses. These \u003Cstrong>actors within a network can influence their “neighbors”\u003C\u002Fstrong> and such interactions, if studied with the help of mathematical models, can better help understand the network in question and address issues relevant to it.\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\u002F2020\u002F05\u002Fnetwork-scientists-768x432.jpg\" alt=\"\" class=\"wp-image-28175\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fnetwork-scientists-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fnetwork-scientists-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fnetwork-scientists.jpg 1500w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: https:\u002F\u002Fwww.colorado.edu\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\n\n\n\n\u003Cp>A \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002F30918\" target=\"_blank\">seminal paper from 1998\u003C\u002Fa> put forth the model of ‘small-world’ networks; an idea \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fd41586-018-05444-y\" target=\"_blank\">stipulating that\u003C\u002Fa> “everyone in the world is connected to everyone else by just six degrees of separation”. This theory led to more research interest in this field; and thanks to the increased computing power that came along during those times, the ability to study networks in more details was possible; further leading to a boom in researching the science of networks.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>From network science through network medicine to COVID-19\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Prof. Barabási wrote in \u003Ca href=\"https:\u002F\u002Fwww.nejm.org\u002Fdoi\u002Ffull\u002F10.1056\u002FNEJMe078114\" target=\"_blank\" rel=\"noreferrer noopener\">his 2007 paper\u003C\u002Fa> that “\u003Cstrong>networks pervade all aspects of human health\u003C\u002Fstrong>”. By applying network science to human physiology (and pathology), he raised a paradigm shift in how we perceive ailments; writing that “diseases may not be as independent of each other as medical practitioners currently consider them to be”. He concluded the paper by coining the term “network medicine”; where networks include nodes representing biological factors, such as molecules and diseases, and links are their relationships, like metabolic pathways and shared genes.\u003C\u002Fp>\n\n\n\n\u003Cp>Network medicine has since picked up steam. It now helps scientists study the interconnected relationships between networks such as that of genes, proteins and pathogens. Even institutions like \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Focw.mit.edu\u002Fcourses\u002Fbiology\u002F7-343-network-medicine-using-systems-biology-and-signaling-networks-to-create-novel-cancer-therapeutics-fall-2012\u002Findex.htm\" target=\"_blank\">MIT\u003C\u002Fa> and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fcatalyst.harvard.edu\u002Fservices\u002Fnetworkmedicine\u002F\" target=\"_blank\">Harvard\u003C\u002Fa> offer courses dedicated to this field.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"525\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fnetwork-science-nodes-768x525.jpg\" alt=\"\" class=\"wp-image-28173\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fnetwork-science-nodes-768x525.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fnetwork-science-nodes-1536x1051.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fnetwork-science-nodes-2048x1401.jpg 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fnetwork-science-nodes.jpg 1579w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: https:\u002F\u002Fbondweaver.com\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>Naturally, Prof. Barabási’s research lab, the \u003Ca href=\"https:\u002F\u002Fcovid.barabasilab.com\u002F2020\u002F04\u002Ftalk-slides.html\" target=\"_blank\" rel=\"noreferrer noopener\">BarabasiLab\u003C\u002Fa>, has dedicated its work in this field, and recently took interest in COVID-19. They are using \u003Ca href=\"https:\u002F\u002Fcovid.barabasilab.com\u002F2020\u002F03\u002Fcovid-19-and-network-medicine.html\" target=\"_blank\" rel=\"noreferrer noopener\">past research on viral-host interactions\u003C\u002Fa>, along with new data on protein-protein interaction map for COVID-19, as well as \u003Ca href=\"https:\u002F\u002Fcovid.barabasilab.com\u002F2020\u002F03\u002Fcovid-19-moving-fast.html\" target=\"_blank\" rel=\"noreferrer noopener\">assistance from artificial intelligence\u003C\u002Fa>, to find a treatment for the novel coronavirus.\u003C\u002Fp>\n\n\n\n\u003Cp>“In many ways, the COVID offers a great test for us to marshal the set of highly predictive tools that we as a community [have developed] in the past two decades,” \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fspectrum.ieee.org\u002Fthe-human-os\u002Fcomputing\u002Fnetworks\u002Fnetwork-science-potential-covid19-therapies\" target=\"_blank\">Barabási said\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>How is network medicine finding a treatment?\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>A treatment for COVID-19 does not necessarily mean a brand-new vaccine or drug. In fact, existing drugs can be repurposed to improve the conditions of those infected. Moreover, given the urgency of the current pandemic, “we do not have time to develop, test, and clinically approve new drugs,” Barabási told us. “\u003Cstrong>The most time-efficient approach is drug-repurposing.\u003C\u002Fstrong>” \u003C\u002Fp>\n\n\n\n\u003Cp>With this in mind, the BarabasiLab turned to \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.biorxiv.org\u002Fcontent\u002F10.1101\u002F2020.03.22.002386v3\" target=\"_blank\">the findings from a group of researchers\u003C\u002Fa> published this March about 26 of the 29 proteins that make up the SARS-CoV-2 viral particle. They also identified 332 human proteins that bind to those 26 coronavirus proteins; interactions of which lead to COVID-19’s devastating consequences.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"382\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002Fcovid-19-network-science.jpg\" alt=\"\" class=\"wp-image-27595\"\u002F>\u003Cfigcaption>Source: https:\u002F\u002Fcovid.barabasilab.com\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>Prof. Barabási and his co-researchers \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fspectrum.ieee.org\u002Fthe-human-os\u002Fcomputing\u002Fnetworks\u002Fnetwork-science-potential-covid19-therapies\" target=\"_blank\">used their network medicine toolset to track\u003C\u002Fa> all possible interactions between these proteins. Out of these 332, they found that 208 interact with one another, effectively forming an interactive network. \u003C\u002Fp>\n\n\n\n\u003Cp>“By simply identifying what neighborhood the virus hits, we can identify what are the potential drugs that are hitting in the same neighborhood, and therefore could be effective against the virus,” \u003Ca href=\"https:\u002F\u002Fnews.northeastern.edu\u002F2020\u002F04\u002F02\u002Fnetwork-scientists-identify-40-new-drugs-to-test-against-covid-19\u002F\" target=\"_blank\" rel=\"noreferrer noopener\">Barabási said\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>Using this method, they identified promising drugs previously not considered. “We are not limiting ourselves to drugs that hit those proteins that the virus targets,” \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fnews.northeastern.edu\u002F2020\u002F04\u002F02\u002Fnetwork-scientists-identify-40-new-drugs-to-test-against-covid-19\u002F\" target=\"_blank\">Barabási explained\u003C\u002Fa>. “We can also discover drugs that hit in the neighborhood that the virus targets”. These candidates are now in experimental labs for testing.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Fresh insights into COVID-19\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Interestingly, applying network science in better understanding how the novel coronavirus interacts with the human cell is not only uncovering new potential treatments but also fresh insights into its functioning. A majority of the human proteins that interact with SARS-CoV-2 are in the lungs; hence the common complications that arise.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"446\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fcovid-19-new-info-768x446.jpg\" alt=\"\" class=\"wp-image-28177\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fcovid-19-new-info-768x446.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fcovid-19-new-info.jpg 1022w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: https:\u002F\u002Fnews.yale.edu\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>However,\u003Cstrong> Barabási’s group also found coronavirus network-based activities in several areas of the brain\u003C\u002Fstrong>. This could help explain the neurologic symptoms reportedly associated with COVID-19, such as \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fscopeblog.stanford.edu\u002F2020\u002F04\u002F17\u002Fhow-viruses-like-the-coronavirus-can-steal-our-sense-of-smell\u002F\" target=\"_blank\">loss of smell and taste sensations\u003C\u002Fa> or a \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.nejm.org\u002Fdoi\u002Ffull\u002F10.1056\u002FNEJMc2009787\" target=\"_blank\">higher risk of stroke\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>Moreover, the brain and the lungs aren’t the only areas of interactivity within the COVID-19 network. Their \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fspectrum.ieee.org\u002Fthe-human-os\u002Fcomputing\u002Fnetworks\u002Fnetwork-science-potential-covid19-therapies\" target=\"_blank\">findings showed\u003C\u002Fa> that it may affect the reproductive organs, digestive system, kidney, spleen and even the skin of some patients. This could bring researchers from other fields’ attention to these organs; and better help decipher the conditions that could be associated with COVID-19, without traditional symptoms.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>The need for a helpful network\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Just like the networks of interconnecting proteins studied,\u003Cstrong> a robust network of people and technology is needed to fight COVID-19\u003C\u002Fstrong>. The BarabasiLab’s findings involved a group effort. Marinka Zitnik, an assistant professor at Harvard Medical School, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fnews.northeastern.edu\u002F2020\u002F04\u002F02\u002Fnetwork-scientists-identify-40-new-drugs-to-test-against-covid-19\u002F\" target=\"_blank\">applied machine learning\u003C\u002Fa> to help Barabási’s group sift through the data on potential drugs for repurpose. Joseph Loscalzo, professor at Harvard Medical School, helped the team further narrow down the drug candidates by discarding those potentially toxic or impossible to administer intravenously or orally.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"512\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fcovid-19-brain-network-768x512.jpeg\" alt=\"\" class=\"wp-image-28181\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fcovid-19-brain-network-768x512.jpeg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fcovid-19-brain-network-1536x1024.jpeg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fcovid-19-brain-network-2048x1365.jpeg 2048w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002Fcovid-19-brain-network-scaled.jpeg 1621w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: https:\u002F\u002Felemental.medium.com\u002F\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>“This cannot be done by one group,” Professor Barabási told The Medical Futurist. “Even the predictive pipelines were built by researchers from two universities, Harvard and Northeastern, as well as a company, Scipher, whose researchers have donated predictive tools and time. The experimental testing will be done by yet another facility, the National Emerging Infectious Diseases Laboratories at Boston University. And if we fund promising drugs, I am sure that multiple hospitals will get involved in clinical trials.”\u003C\u002Fp>\n\n\n\n\u003Cp>Similarly to this network of collaborating experts, we need collaborative efforts on every level of society to defeat the ongoing COVID-19 crisis. If we embrace digital health technology sooner within our network, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhow-would-have-covid-19-taken-place-in-a-digital-health-utopia\u002F\" target=\"_blank\">the impact of a subsequent crisis\u003C\u002Fa> will be less severe.\u003C\u002Fp>\n",false,{"rendered":22,"protected":20},"\u003Cp>Another promising area joining the fight is network medicine, a branch of network science. \u003C\u002Fp>\n",16,28279,"closed",true,"","standard",{"_acf_changed":20,"footnotes":27},[31,32,33,34],6479,504,500,494,[36,37,38,39,40,41,42,43,44],3685,1549,134,320,4247,3083,4261,3085,4263,[46,47,48,49],948,949,950,952,[],[52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71],4195,3171,4199,4205,3965,4207,4157,4215,4163,4217,4179,4219,1633,4181,4221,2655,4183,4191,4193,3165,[73,14,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95],"post-28171","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-covid-19","category-artificial-intelligence","category-biotechnology","category-telemedicine","tag-vaccine-research","tag-coronavirus","tag-ai","tag-mit","tag-pandemic","tag-covid","tag-network-science","tag-covid19","tag-albert-laszlo-barabasi","project_category-developers","project_category-educators","project_category-medical-professionals","project_category-policy-makers",{"id":24,"alt_text":97,"caption":98,"description":99,"media_type":100,"media_details":101,"post":5,"source_url":129},"Network medicine in finding treatment for COVID-19","Digital Health Network","Networks pervade all aspects of human health, so diseases may not be as independent of each other as medical practitioners currently consider them to be. Here's how this could help in finding cure to COVID-19.","image",{"width":102,"height":103,"file":104,"sizes":105,"image_meta":127},1920,1080,"2020\u002F05\u002F168_tmf-01.png",{"medium":106,"large":112,"thumbnail":117,"medium_large":121,"1536x1536":122},{"file":107,"width":108,"height":109,"mime-type":110,"source_url":111},"168_tmf-01-370x208.png","370","208","image\u002Fpng","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F168_tmf-01-370x208.png",{"file":113,"width":114,"height":115,"mime-type":110,"source_url":116},"168_tmf-01-768x432.png","768","432","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F168_tmf-01-768x432.png",{"file":118,"width":119,"height":119,"mime-type":110,"source_url":120},"168_tmf-01-150x150.png","150","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F168_tmf-01-150x150.png",{"file":113,"width":114,"height":115,"mime-type":110,"source_url":116},{"file":123,"width":124,"height":125,"mime-type":110,"source_url":126},"168_tmf-01-1536x864.png","1536","864","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F168_tmf-01-1536x864.png",{"aperture":128,"credit":27,"camera":27,"caption":27,"created_timestamp":128,"copyright":27,"focal_length":128,"iso":128,"shutter_speed":128,"title":27,"orientation":128},"0","https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F168_tmf-01.png",{"cta_type":131,"cta_color":27,"subtitle":27,"related_books":132,"related_posts_footer":135,"related_posts":20},"subscribe",[133,134],27927,24762,[136,137,138],28033,28049,28025,{"yoast_wpseo_title":140,"yoast_wpseo_metadesc":141,"yoast_wpseo_canonical":15},"Network Medicine in the Fight Against COVID-19 - The Medical Futurist","With the help of network science, scientists go new ways repurposing their network medicine toolset to find a treatment for COVID-19 as soon as possible.",{"self":143,"collection":149,"about":152,"author":155,"replies":158,"version-history":161,"predecessor-version":165,"wp:featuredmedia":169,"wp:attachment":172,"wp:term":175,"curies":191},[144],{"href":145,"targetHints":146},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F28171",{"allow":147},[148],"GET",[150],{"href":151},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts",[153],{"href":154},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftypes\u002Fpost",[156],{"embeddable":26,"href":157},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fusers\u002F16",[159],{"embeddable":26,"href":160},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=28171",[162],{"count":163,"href":164},11,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F28171\u002Frevisions",[166],{"id":167,"href":168},28291,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F28171\u002Frevisions\u002F28291",[170],{"embeddable":26,"href":171},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F28279",[173],{"href":174},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=28171",[176,179,182,185,188],{"taxonomy":177,"embeddable":26,"href":178},"category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=28171",{"taxonomy":180,"embeddable":26,"href":181},"post_tag","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=28171",{"taxonomy":183,"embeddable":26,"href":184},"project_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=28171",{"taxonomy":186,"embeddable":26,"href":187},"contact_email_category","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=28171",{"taxonomy":189,"embeddable":26,"href":190},"yst_prominent_words","https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=28171",[192],{"name":193,"href":194,"templated":26},"wp","https:\u002F\u002Fapi.w.org\u002F{rel}",[196],{"id":138,"date":197,"date_gmt":198,"guid":199,"modified":201,"modified_gmt":202,"slug":203,"status":13,"type":14,"link":204,"title":205,"content":207,"excerpt":209,"author":23,"featured_media":211,"comment_status":25,"ping_status":25,"sticky":26,"template":27,"format":28,"meta":212,"categories":213,"tags":217,"project_category":221,"contact_email_category":224,"yst_prominent_words":225,"class_list":245,"better_featured_image":255,"acf":276,"yoast_meta":282,"_links":285},"2020-05-12T10:00:00","2020-05-12T08:00:00",{"rendered":200},"https:\u002F\u002Fmedicalfuturist.com\u002F?post_id=28025&_wpnonce=508a55bbd1&status=auto-draft&type=post","2021-01-21T09:56:27","2021-01-21T08:56:27","how-would-have-covid-19-taken-place-in-a-digital-health-utopia","https:\u002F\u002Fmedicalfuturist.com\u002Fhow-would-have-covid-19-taken-place-in-a-digital-health-utopia",{"rendered":206},"How Would Have COVID-19 Taken Place In A Digital Health Utopia?",{"rendered":208,"protected":20},"\n\u003Cp>What if the COVID-19 pandemic had been forecasted months in advance? And hospitals didn’t experience shortages thanks to the help of an A.I. helping administrators better manage their resources when facing such a virulent disease? What if telemedicine was the norm and unnecessary doctor-patient visits were eliminated, reducing transmission risks and helping with containing the virus faster and easier? What if patients could check if they’ve contracted the disease with at-home tests delivered via medical drones and self-isolate if they are positive?\u003C\u002Fp>\n\n\n\n\u003Cp>If these scenarios sound too good to be true, it’s because they are. They depict how a pandemic at the scale of COVID-19 would play out in a digital health utopia: one where the cultural transformation that we at The Medical Futurist envision, one we wouldn’t mind being the reality.\u003C\u002Fp>\n\n\n\n\u003Cp>Truth is, the technologies required for such a utopia already exist but aren’t implemented on a large scale. This can be attributed to insufficient policies and incentives to support them. However, digital health showed to be an adequate solution to handle the threat of COVID-19 \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhow-digital-health-technology-can-help-manage-the-coronavirus-outbreak\u002F\" target=\"_blank\">right from the start\u003C\u002Fa>. So let’s investigate how the COVID-19 saga would take place in this coveted digital health utopia; a utopia which we might need to be able to better handle a subsequent public health crisis.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>A.I. saw a pandemic coming\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>What better aide to predict an upcoming disease outbreak than one that speaks the \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fwhat-i-learnt-about-a-i-by-playing-1000-hours-of-chess-in-a-year\u002F\" target=\"_blank\">language of anticipation\u003C\u002Fa>? Rather than leading to Judgment Day as predicted in Terminator, artificial intelligence is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fibm-watson-is-the-stethoscope-of-the-21st-century\u002F\" target=\"_blank\">an indispensable tool\u003C\u002Fa> in the healthcare setting in a digital health utopia. The technology can alert experts about an impending pandemic weeks and even months before it reaches a country. It does so by digesting tons of data from news reports, airline data, and animal disease outbreaks reports. This is done in a matter of minutes, which would take humans months to go through. Once the A.I. picks up a trend, epidemiologists analyze it and issue warnings for authorities to take prompt actions.\u003C\u002Fp>\n\n\n\n\u003Cp>You might know it by heart now: it was an A. I. company, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fbluedot.global\u002F\" target=\"_blank\">BlueDot\u003C\u002Fa>, that helped epidemiologists send out the first warning of the COVID-19 outbreak; even before the WHO and CDC had done so. However, BlueDot’s example was the exception rather than the rule. Such an A.I. might not help identify patient zero and an outbreak which might inevitably ensue. However, forecasting allows healthcare institutions to better prepare and not to overwhelm themselves.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"419\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F02\u002FDeath-Prediction-AI-768x419.jpg\" alt=\"A.I. in medicine\" class=\"wp-image-22997\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F02\u002FDeath-Prediction-AI-768x419.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F02\u002FDeath-Prediction-AI-1536x838.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F02\u002FDeath-Prediction-AI-512x279.jpg 512w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2019\u002F02\u002FDeath-Prediction-AI.jpg 1980w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003Cfigcaption>Source: www.iqvis.com\u003C\u002Ffigcaption>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>The latter can make further use of an A.I. integrated within the ideal healthcare system to assist each hospital in managing their supplies. This will prevent them from crumbling under pressure once the disease hits. \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fqventus.com\u002Fblog\u002Fpredicting-the-effects-of-the-covid-pandemic-on-us-health-system-capacity\u002F\" target=\"_blank\">Qvetus\u003C\u002Fa> developed such an algorithm. Other researchers \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Ftechscience.com\u002Fcmc\u002Fv63n1\u002F38464\" target=\"_blank\">published their findings\u003C\u002Fa> on an A.I. framework to assist in prioritizing resources for critical cases. However, we have yet to see it widely adopted; we’ve all read the news of hospitals worldwide struggling to keep both patients and medical staff safe with sufficient protective equipment.\u003C\u002Fp>\n\n\n\n\u003Cp>If such cases of A.I. use are more widespread, authorities can take prompt action to contain the disease, well before it overwhelms them.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Healthcare and smartphone data without borders\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>In a digital health utopia, patient data and the myriad of security and privacy issues that it usually brings along are things of the past. That’s partly because a \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=E1wcvcta6zw\" target=\"_blank\">blockchain\u003C\u002Fa> assures the security of these sensitive data; acting as a transparent shared book of records of sorts; employed in a similar way like the initiatives \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-healthcare-in-estonia\u002F\" target=\"_blank\">Estonia\u003C\u002Fa> is taking to secure its health records.\u003C\u002Fp>\n\n\n\n\u003Cp>Additionally, governments and public health authorities are transparent about the use of these sensitive data; effectively share proper information with citizens, curb fake news with the input from social media companies; and also pay \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fthe-unlikely-rise-of-science-and-digital-health-during-covid-19\u002F\" target=\"_blank\">heed to the advice of scientists\u003C\u002Fa> when it comes to health crises.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F164_tmf-01-768x432.png\" alt=\"Leadership at the time of a pandemic\" class=\"wp-image-27905\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F164_tmf-01-768x432.png 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F164_tmf-01-370x208.png 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F164_tmf-01-1536x864.png 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F05\u002F164_tmf-01.png 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>The public is thus more open to providing anonymized movement data based on their smartphone activity. This will allow for faster contact tracing and makes it easier to follow the disease’s trail. Indeed, privacy-preserving ways to trace those potentially with COVID-19 are in the works. \u003Ca rel=\"noreferrer noopener\" href=\"http:\u002F\u002Fnews.mit.edu\u002F2020\u002Fbluetooth-covid-19-contact-tracing-0409\" target=\"_blank\">MIT\u003C\u002Fa>, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.cam.ac.uk\u002Fresearch\u002Fnews\u002Fnew-app-collects-the-sounds-of-covid-19\" target=\"_blank\">The University of Cambridge\u003C\u002Fa> and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fgithub.com\u002FDP-3T\u002Fdocuments\" target=\"_blank\">another group\u003C\u002Fa> of European universities have working prototypes. This allows citizens to contribute to a noble cause, without the lingering fear of an all-seeing Big Brother. The latter is \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fyour-data-privacy-during-a-pandemic\u002F\" target=\"_blank\">a growing concern amidst the pandemic\u003C\u002Fa>, with governments around the world using methods that expose the private lives and data of citizens.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Health tech at your doorstep\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>In this secure, interconnected paradise, people actively manage their health with digital health sensors and wearables. These keep them updated about their vitals in real-time. Should they \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fcan-wearables-help-detect-if-you-are-infected-with-the-coronavirus\u002F\" target=\"_blank\">show subtle signs of an infection\u003C\u002Fa> without any overt symptoms, these devices can notify their physicians who can recommend subsequent actions. Integrating such data into medical records can further allow an A. I. to discern those who are at higher risk, based on their medical history and genomic data, and hospitalize them preemptively.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-wearables-small-768x432.jpg\" alt=\"wearables and COVID19\" class=\"wp-image-27615\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-wearables-small-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-wearables-small-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-wearables-small-1536x864.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F04\u002FAI-wearables-small.jpg 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>In line with turning the point-of-care towards the patient with the help of health sensors, patients can further perform readily available validated, at-home testing kits without the need to leave their homes. These kits, similar to the ones offered by telemedicine services \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedium.com\u002Fplushcare-insider\u002Fplushcares-covid-19-response-including-our-efforts-to-launch-at-home-testing-82a5ebc5e3c1\" target=\"_blank\">PlushCare\u003C\u002Fa> and \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.everlywell.com\u002Fblog\u002Fnews-and-info\u002Four-commitment-to-fighting-covid-19\u002F\" target=\"_blank\">Everlywell\u003C\u002Fa>, are ordered online or issued by healthcare authorities and delivered via delivery drones. After taking a test sample, patients can send it back via the same method, without the need for human-to-human contact. Rwanda, or \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fdigital-health-in-rwanda\u002F\" target=\"_blank\">the real-life Wakanda\u003C\u002Fa>, is already using drones to deliver supplies to hospitals; why not go a step further and get them directly to patients?\u003C\u002Fp>\n\n\n\n\u003Cp>Such mass testing gives a clearer picture of the portion of the population that has contracted the virus; and who among them need medical attention. Early and mass testing is one of the reasons for \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fhow-germany-leveraged-digital-health-to-combat-covid-19\u002F\" target=\"_blank\">Germany’s comparative successful management\u003C\u002Fa> of COVID-19.\u003C\u002Fp>\n\n\n\n\u003Ch2 class=\"wp-block-heading\">\u003Cstrong>Telemedicine came from afar\u003C\u002Fstrong>\u003C\u002Fh2>\n\n\n\n\u003Cp>Given that telemedicine is the normal way to provide consultations in the ideal digital health setting, as soon as authorities impose lockdowns or social distancing measures, nothing much fundamentally changes in the way people receive medical advice. Only when more thorough tests or closer attention are required should they use medical facilities.\u003C\u002Fp>\n\n\n\n\u003Cp>Even within these facilities, technology helps in handling highly contagious viruses like SARS-CoV-2. Telemedical robots monitor patients, like the one \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fedition.cnn.com\u002F2020\u002F01\u002F23\u002Fhealth\u002Fus-wuhan-coronavirus-doctor-interview\u002Findex.html\" target=\"_blank\">used at the beginning of the outbreak\u003C\u002Fa> in the U. S., equipped with screens to communicate and medical tools to monitor the vitals of the patient. Disinfecting robots take care of minimizing exposure to the staff; just like they \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fglobal.chinadaily.com.cn\u002Fa\u002F202002\u002F07\u002FWS5e3cfe0fa310128217275cd2.html\" target=\"_blank\">disinfected hospital rooms in Wuhan\u003C\u002Fa>.\u003C\u002Fp>\n\n\n\n\u003Cp>Before the pandemic, \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.jdpower.com\u002Fsites\u002Fdefault\u002Ffiles\u002F2019185_telehealth_usage_and_awareness.pdf\" target=\"_blank\">only 1 in 10 U.S. patients\u003C\u002Fa> used telemedicine services; but these \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fmedicalfuturist.com\u002Fcovid-19-was-needed-for-telemedicine-to-finally-go-mainstream\u002F\" target=\"_blank\">saw a revival\u003C\u002Fa> during these extraordinary circumstances. In the U.S., Amwell’s telemedicine app usage \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fqz.com\u002F1821549\u002Ftelemedicine-faces-unprecedented-demand-in-the-wake-of-coronavirus\u002F\" target=\"_blank\">went up by 158%\u003C\u002Fa> since January and appointments through PlushCare increased by 70%. In Denmark, the government and health IT vendors created a video-consultation app which saw \u003Ca rel=\"noreferrer noopener\" href=\"https:\u002F\u002Fwww.healthcareitnews.com\u002Fblog\u002Feurope\u002Fmanaging-covid-19-perfect-world\" target=\"_blank\"> 5,000 downloads within 15 minutes\u003C\u002Fa> from its release. Since then, even more users adopted it.\u003C\u002Fp>\n\n\n\n\u003Cdiv class=\"wp-block-image\">\u003Cfigure class=\"aligncenter size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FCOVID-smartphone-apps-small-768x432.jpg\" alt=\"digital health apps for quarantine\" class=\"wp-image-27337\" srcset=\"https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FCOVID-smartphone-apps-small-768x432.jpg 768w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FCOVID-smartphone-apps-small-370x208.jpg 370w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FCOVID-smartphone-apps-small-1536x864.jpg 1536w, https:\u002F\u002Fcdn.medicalfuturist.com\u002Fwp-content\u002Fuploads\u002F2020\u002F03\u002FCOVID-smartphone-apps-small.jpg 1920w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \u002F>\u003C\u002Ffigure>\u003C\u002Fdiv>\n\n\n\n\u003Cp>We fiercely advocate for digital health here at The Medical Futurist. However, \u003Cstrong>for the adoption of sci-fi-esque technologies on an international scale, digital health needs a real cultural transformation to take off\u003C\u002Fstrong>. Rather than witnessing isolated use cases of technologies to support doctors and patients, their wide adoption as the norm is a must.\u003C\u002Fp>\n\n\n\n\u003Cp>As depicted in this article, these will help better manage subsequent health crises; without overburdening stakeholders on every level of the healthcare landscape. As part of our mission to promote digital health, we will update you with a series of articles in a post-COVID world, analyzing the technologies that got into the COVID-spotlight.\u003C\u002Fp>\n",{"rendered":210,"protected":20},"\u003Cp>What if the COVID-19 pandemic had been forecasted months in advance? And hospitals didn’t experience shortages thanks to the help of an A.I. helping administrators […]\u003C\u002Fp>\n",28089,{"_acf_changed":20,"footnotes":27},[31,32,214,215,216,34],496,800,515,[218,219,220],207,630,824,[222,48,223,49],947,951,[],[226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,67,244],3071,3079,1571,3181,1617,3561,1631,3597,1661,4031,1681,4033,1693,4041,1723,4043,1883,4045,4047,[246,14,74,75,76,77,78,79,80,247,248,249,82,250,251,252,253,94,254,95],"post-28025","category-health-sensors-trackers","category-healthcare-policy","category-science-fiction","tag-digital-health","tag-digital-technology","tag-digital-health-strategy","project_category-company","project_category-patients",{"id":211,"alt_text":27,"caption":256,"description":257,"media_type":100,"media_details":258,"post":138,"source_url":275},"What if the COVID-19 pandemic was forecasted months in advance?","COVID-19 initiated many changes in the technological world, especially in medicine. What if the digital health vision that we share at TMF would be 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Would Have COVID-19 Taken Place In A Digital Health Utopia? - The Medical Futurist","What if we had all these amazing digital health technologies in place with good policies and incentives before the pandemic hit?",{"self":286,"collection":291,"about":293,"author":295,"replies":297,"version-history":300,"predecessor-version":304,"wp:featuredmedia":308,"wp:attachment":311,"wp:term":314,"curies":325},[287],{"href":288,"targetHints":289},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F28025",{"allow":290},[148],[292],{"href":151},[294],{"href":154},[296],{"embeddable":26,"href":157},[298],{"embeddable":26,"href":299},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcomments?post=28025",[301],{"count":302,"href":303},10,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F28025\u002Frevisions",[305],{"id":306,"href":307},28093,"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fposts\u002F28025\u002Frevisions\u002F28093",[309],{"embeddable":26,"href":310},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia\u002F28089",[312],{"href":313},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fmedia?parent=28025",[315,317,319,321,323],{"taxonomy":177,"embeddable":26,"href":316},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcategories?post=28025",{"taxonomy":180,"embeddable":26,"href":318},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Ftags?post=28025",{"taxonomy":183,"embeddable":26,"href":320},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fproject_category?post=28025",{"taxonomy":186,"embeddable":26,"href":322},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fcontact_email_category?post=28025",{"taxonomy":189,"embeddable":26,"href":324},"https:\u002F\u002Fapi.medicalfuturist.com\u002Fwp-json\u002Fwp\u002Fv2\u002Fyst_prominent_words?post=28025",[326],{"name":193,"href":194,"templated":26},[328],{"id":134,"date":329,"date_gmt":330,"guid":331,"modified":333,"modified_gmt":334,"slug":335,"status":13,"type":336,"link":337,"title":338,"content":340,"excerpt":342,"author":302,"featured_media":344,"comment_status":25,"ping_status":25,"template":27,"yst_prominent_words":345,"class_list":347,"better_featured_image":350,"acf":390,"yoast_meta":411,"_links":414},"2021-03-03T21:58:00","2021-03-03T20:58:00",{"rendered":332},"https:\u002F\u002Fapi.medicalfuturist.com\u002F?post_type=book&p=24762","2024-05-29T23:37:45","2024-05-29T21:37:45","a-guide-to-artificial-intelligence-in-healthcare","book","https:\u002F\u002Fapi.medicalfuturist.com\u002Fbooks\u002Fa-guide-to-artificial-intelligence-in-healthcare\u002F",{"rendered":339},"A Guide to Artificial Intelligence in Healthcare",{"rendered":341,"protected":20},"\n\u003Cp>Can we stay human in the\nage of A.I.? To go even further, can we grow in humanity, can we shape a\nmore humane, more equitable and sustainable healthcare?\u003C\u002Fp>\n\n\n\n\u003Cp>Our e-book aims to prepare\nhealthcare and medical professionals for the era of human-machine collaboration.\nRead The Medical Futurist’s guide to understanding, anticipating and\ncontrolling artificial intelligence.\u003C\u002Fp>\n",{"rendered":343,"protected":20},"\u003Cp>Can we stay human in the age of A.I.? To go even further, can we grow in humanity, can we shape a more humane, more equitable 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