{"id":23708,"date":"2023-03-20T20:43:52","date_gmt":"2023-03-20T20:43:52","guid":{"rendered":"https:\/\/www.ucf.edu\/pegasus\/?p=23708&#038;post_type=story"},"modified":"2023-08-24T18:56:13","modified_gmt":"2023-08-24T18:56:13","slug":"advanced-medicine","status":"publish","type":"story","link":"https:\/\/www.ucf.edu\/pegasus\/advanced-medicine\/","title":{"rendered":"Advanced Medicine"},"content":{"rendered":"<p><strong>Ozlem Garibay \u201901MS \u201908PhD<\/strong> earned\u00a0her degrees from UCF in <a href=\"https:\/\/www.ucf.edu\/degree\/computer-science-ms\/\">computer science<\/a>.\u00a0She instructs classes in the Department of\u00a0Industrial Engineering and Management\u00a0Systems. Yet here she is, using all this\u00a0expertise to help a team of <a href=\"https:\/\/www.ucf.edu\/healthcare\/\">UCF researchers\u00a0change medicine<\/a> \u2014 specifically, how diseases\u00a0are diagnosed and prescription drugs are\u00a0developed. Garibay turns from her computer\u00a0monitor for a few minutes to explain the\u00a0potential impact of the team\u2019s work and why\u00a0they\u2019re motivated to put in the hours to make\u00a0it happen.<\/p>\n<p>\u201cI\u2019m glad we\u2019re having this conversation,\u201d\u00a0Garibay says. \u201cIt allows me to step back from\u00a0the micro-details and remember the reason\u00a0we\u2019re doing this.\u201d<\/p>\n<h2>In simple terms, how can artificial intelligence (AI) improve drug development?<\/h2>\n<p>The process is like finding a matching key for a lock.\u00a0Every virus is extremely complex, with million\u00a0of unique characteristics. Each compound has its\u00a0own characteristics, too. With the human mind, it\u2019s\u00a0impossible to match the right compounds with a\u00a0virus. Through the best trial and error being used\u00a0now, it can take up to 10 or 20 years to find a match.\u00a0But with artificial intelligence, we can screen for\u00a0suitable candidates of drugs that can be tested\u00a0quicker and with fewer resources.<\/p>\n<h2>Give us an idea of the cost of savings.<\/h2>\n<p>We recently received a research grant from UCF\u00a0for $40,000. It sounds like a lot of money, until\u00a0you consider that it can cost more than $20 billion\u00a0annually for pharmaceutical companies to develop\u00a0a drug using traditional methods. Those high costs\u00a0are passed down to the consumer. We want to get to\u00a0a point where those companies can use our research\u00a0to make the process faster and cheaper.<\/p>\n<h2>How did you get involved in this?<\/h2>\n<p>It started during the early stages of the pandemic.\u00a0I saw friends and colleagues getting sick, and I feared\u00a0for family members all over the globe. That summer,\u00a0I attended a workshop in Orlando and heard how AI\u00a0can extrapolate volumes of data to discover drugs to\u00a0fight viruses. It sounded brilliant. Then a few days\u00a0later, an engineering professor here at UCF, Sudipta\u00a0Seal, told me <a href=\"https:\/\/www.ucf.edu\/news\/ucf-researchers-receive-patent-for-covid-killing-nano-coating\/\">he was working on a similar problem<\/a>\u00a0in the Research Park. It made perfect sense to put\u00a0a team together and pursue it.<\/p>\n<h2>What do you credit your progress to?<\/h2>\n<p>We aren\u2019t motivated by accolades or personal gain. We know\u00a0this research can help protect precious lives around the world\u00a0for generations. That\u2019s what keeps us pressing forward.<\/p>\n<h2>Could the research be used for diagnosis and prevention, too?<\/h2>\n<p>Definitely. We\u2019re looking at how AI might be used to identify\u00a0\u201cmarkers\u201d in basic tests before a person even knows they have\u00a0an affliction. Our goal is to make it possible for healthcare\u00a0providers to understand each person completely by connecting\u00a0data about lifestyle, environment, health history, genetic\u00a0composition and other factors. That way, they can truly\u00a0individualize care, whether there are symptoms or not.<\/p>\n<h2>Why do you have to be careful with this research?<\/h2>\n<p>Advancing AI research in an ethical and responsible way is\u00a0near and dear to my heart. We want very much to help people\u00a0have better lives, but the technology must be reliable, safe\u00a0and secure. There can be no compromises. We have recently\u00a0published a paper on human-centered AI that highlights the\u00a0six challenges for <a href=\"https:\/\/www.ucf.edu\/research\/\">the research community<\/a> to guide responsible\u00a0AI. These include centering human well-being, responsible\u00a0design, respecting privacy, following human-centered design\u00a0principles, appropriate governance and oversight, and\u00a0interacting with individuals while respecting humans\u2019\u00a0cognitive capacities.<\/p>\n<h2>Might this be a silver lining out of the pandemic?<\/h2>\n<p>Oh my goodness, this goes far beyond COVID. The applications\u00a0in healthcare have the potential to slow down diseases like\u00a0Alzheimer\u2019s, cancer and the next global virus. And if it does,\u00a0then we can say it happened partly because a group of\u00a0researchers came together, motivated by a singular mission\u00a0to make lives better.<\/p>\n","protected":false},"featured_media":23953,"template":"","categories":[],"tags":[1628,148,1612,1622],"class_list":["post-23708","story","type-story","status-publish","has-post-thumbnail","hentry","tag-artificial-intelligence","tag-college-of-engineering-and-computer-science","tag-ozlem-garibay","tag-sudipta-seal","issues-spring-2023"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Advanced Medicine: The Potential of AI in Healthcare<\/title>\n<meta name=\"description\" content=\"The AI medicine market is valued around $11B and estimated to grow to nearly $190 B by 2030. 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