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UID:44@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20240321T113000
DTEND;TZID=Asia/Kolkata:20240321T123000
DTSTAMP:20240305T044838Z
URL:https://cds.iisc.ac.in/events/cds-research-seminar-development-of-ai-t
 ools-in-liver-disease-and-transplantation-current-and-future-prospects/
SUMMARY:CDS Research Seminar: Development of AI tools in  Liver Disease an
 d Transplantation: Current and Future Prospects
DESCRIPTION:CDS Research Seminar\n\n\n\nTitle: Development of AI tools in 
  Liver Disease and Transplantation: Current and Future Prospects\nSpeaker:
  Dr. Mamatha Bhat\, MD\, MSc\, PhD\nHepatologist &amp\; Co-Lead of Transpl
 ant AI initiative (TAI)\, Ajmera Transplant Centre\nAssociate Professor\, 
 Division of Gastroenterology &amp\; Hepatology\nDirector\, Clinician-Scien
 tist Training Program (CSTP)\, Department of Medicine\, University of Toro
 nto\nPartnerships &amp\; Engagement Lead\, Temerty Centre for AI in Resear
 ch &amp\; Education in Medicine (T-CAIREM)\nDate &amp\; Time: March 21\, 2
 024 (Thursday) &amp\; 11:30 AM - 12:30 PM\nRoom No: CDS 102 (CDS Seminar H
 all)\n\n\n\nAbstract:\n\nArtificial Intelligence (AI) tools have been incr
 easingly applied to clinical questions in transplant medicine in recent ye
 ars. As we continue to push the limits of transplantation\, with the older
  age and complex comorbidities of candidates\, there are many challenges t
 hroughout transplant medicine that must be better addressed. Various facto
 rs affect liver transplant pathology and outcomes\, including sex\, ethnic
 ity\, genetics\, BMI\, diabetes\, and immunosuppressive regimens. There ex
 ist complex\, non-linear patterns in laboratory tests that must be conside
 red in conjunction with the complex clinical variables to predict outcome.
  Additionally\, electronic health record data\, imaging technologies\, his
 tology\, and ‘omics data have continued to expand the types of data avai
 lable. These complex data points\, their hidden patterns and interrelation
 ships can be uniquely leveraged with the use of AI tools. Longitudinal cha
 nges in these variables are also being examined to provide a continuous re
 assessment of risk along the timeline. Applications of AI in transplant me
 dicine include waitlist prioritization\, donor-recipient matching\, and sh
 ort-term/long-term outcome prediction. In this talk\, I will go over these
  considerations with respect to application of AI in transplant medicine. 
 I will additionally discuss integration of ‘omics data\, as well as pers
 pectives regarding clinical deployment of AI tools.\n\nShort Biography:\n\
 nDr. Mamatha Bhat is a Hepatologist and leads the Transplant AI initiative
  at the University Health Network's Ajmera Transplant Centre\, and Associa
 te Professor of Medicine at the University of Toronto. Dr. Bhat completed 
 her medical school and residency training at McGill University. She then c
 ompleted a Transplant Hepatology fellowship at the Mayo Clinic in Rocheste
 r\, Minnesota\, followed by a Canadian Institutes of Health Research (CIHR
 ) Fellowship for Health Professionals\, through which she completed a PhD.
 \n\nThe goal of Dr. Bhat’s research program is to improve long-term outc
 omes of liver transplantation through a precision medicine approach. Her p
 rogram is unique in using tools of Artificial Intelligence with bioinforma
 tics to personalize the care of liver transplant recipients based on an im
 proved biological understanding of the liver and disease after transplant.
  Her interdisciplinary program has been supported by the Canadian Institut
 es for Health Research (CIHR)\, Canadian Donation and Transplant Research 
 Program (CDTRP)\, Natural Sciences and Engineering Research Council (NSERC
 )\, Canadian Liver Foundation (CLF)\, among others. Dr. Bhat is Partnershi
 p &amp\; Engagement Lead for the Temerty Centre for AI Research and Educat
 ion in Medicine (T-CAIREM)\, Chair of the International Liver Transplant S
 ociety Basic and Translational Science Research committee\; on the Executi
 ve committee of the CDTRP\, and an Associate Editor for the American Journ
 al of Transplantation. Dr. Bhat has also been the recipient of recognition
 s such as the 2022 CIHR-INMD-CASL Early Career Researcher prize\, CASL Res
 earch Excellence award and the 2021 American Society of Transplantation Ba
 sic Science Career Development Award.\n\n\n\nALL ARE WELCOME
CATEGORIES:Events,Talks
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