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DTSTAMP:20240214T001142Z
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DTSTART;TZID=America/New_York:20240213T180000
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DESCRIPTION:In an era where medical innovation is more critical than ever\,
  artificial intelligence (AI) offers unprecedented opportunities in the re
 alm of healthcare\, particularly in drug discovery and development. Harnes
 sing AI for drug repurposing represents a frontier in accelerating the ide
 ntification of new therapeutic uses for existing drugs\, reducing time and
  costs associated with traditional drug development.\n\nIn this talk\, we 
 will explore the transformative potential of computational drug repurposin
 g in the era of AI. We will delve into the applications of deep learning f
 or drug-target prediction and drug sensitivity prediction\, as well as the
  utilization of knowledge graphs to uncover hidden relationships between d
 rugs and biological entities. Additionally\, we will introduce the large l
 anguage model (LLM) and discuss its potential in processing vast amounts o
 f biomedical literature and clinical trial data to inform drug repurposing
  efforts. By highlighting real-world examples and case studies\, this talk
  aims to provide a comprehensive overview of the opportunities and challen
 ges that lie ahead in the field of AI-driven drug repurposing.\n\nJoin us 
 to delve into how computational drug repurposing\, powered by AI\, can bec
 ome a pivotal tool in swiftly and effectively responding to future healthc
 are challenges.\n\nNow included in the IEEE Computer Society Chapters Feat
 ured Events Region 1 and Region 2 Coordinator\;\n\nAlso included in IEEE R
 egion 1 Professional Activities Webinars.\n\nSpeaker(s): Nansu Zong\, \n\n
 Virtual: https://events.vtools.ieee.org/m/389460
LOCATION:Virtual: https://events.vtools.ieee.org/m/389460
ORGANIZER:lifanghescut@gmail.com
SEQUENCE:37
SUMMARY:Computational Drug Repurposing in the Era of Artificial Intelligenc
 e
URL;VALUE=URI:https://events.vtools.ieee.org/m/389460
X-ALT-DESC:Description: <br /><p>In an era where medical innovation is more
  critical than ever\, artificial intelligence (AI) offers unprecedented op
 portunities in the realm of healthcare\, particularly in drug discovery an
 d development. Harnessing AI for drug repurposing represents a frontier in
  accelerating the identification of new therapeutic uses for existing drug
 s\, reducing time and costs associated with traditional drug development.<
 /p>\n<p>In this talk\, we will explore the transformative potential of com
 putational drug repurposing in the era of AI. We will delve into the appli
 cations of deep learning for drug-target prediction and drug sensitivity p
 rediction\, as well as the utilization of knowledge graphs to uncover hidd
 en relationships between drugs and biological entities. Additionally\, we 
 will introduce the large language model (LLM) and discuss its potential in
  processing vast amounts of biomedical literature and clinical trial data 
 to inform drug repurposing efforts. By highlighting real-world examples an
 d case studies\, this talk aims to provide a comprehensive overview of the
  opportunities and challenges that lie ahead in the field of AI-driven dru
 g repurposing.<br /><br />Join us to delve into how computational drug rep
 urposing\, powered by AI\, can become a pivotal tool in swiftly and effect
 ively responding to future healthcare challenges.</p>\n<p><span style="fon
 t-size: 18pt\;"><strong>Now included in the <em>IEEE Computer Society Chap
 ters Featured Events Region 1 and Region 2</em> Coordinator\; </strong></s
 pan></p>\n<p><span style="font-size: 18pt\;"><strong>Also included in <em>
 IEEE Region 1 Professional Activities Webinars</em>.&nbsp\; </strong></spa
 n></p>
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