
Mamatha Bhat
@mamathabhat3
Hepatologist, Co-Lead Transplant AI initiative @UHNTransplant @TGHRI_UHN
Partnerships Lead @TCAIREM
Director of Clinician-Scientist Training Program @UofT_DoM
ID: 1162536609297960960
https://bhatlab.ca/ 17-08-2019 01:28:29
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Happy to share our latest work on #medRxiv! We develop an explainable algorithm, Decision Path Similarity Matching (DPSM), that debiases observational data to simulate RCT-like conditions. medrxiv.org/content/10.110… Chris McIntosh Mamatha Bhat Bima J. Hasjim, MD MSc #ML #healthcare

ILTS 2025 Singapore abstract call is open! Innovation is the theme of the meeting and where better to meet a multidisciplinary and international team of experts than Singapore!!!!! Submit your abstracts, apply for grants, awards, and meet old and new friends Nazia Selzner


🚀🌱 Large language of life models: foundation models for longevity and aging! Our lab has recently been involved in two groundbreaking DNA methylation foundation models: CpGPT and MethylGPT! These “Large Language of Life” models (Eric Topol) mark a new era in aging


A huge congratulations to Daniel J Drucker for winning the breakthrough prize for his work that has led to one of the most exciting medicines ever created. An important achievement for an impressive Canadian Scientist breakthroughprize.org/News/91

Congratulations to Dr. Mamatha Bhat for receiving this Team Grant. CDTRP is proud to have partnered with Liver Canada on this grant. We look forward to seeing the impact that this research has on equity in transplant care. #TransplantResearch #CDTRP #HealthEquity

Biopsies may no longer be the first stop. University Health Network’s new #AI tool—GraftIQ—helps diagnose liver graft injuries non-invasively, faster, and more accurately. Read more about this study co-led by Dr. Mamatha Bhat with global collaborators. ➡️ uhnresearch.ca/news/precision…


Very happy to share our new paper on LLM-based tumor board agents. Submitted August 2024, published in Nature Cancer today ☺️ Led by Dyke Ferber nature.com/articles/s4301…


Congratulations Ani Gangadhar Bima J. Hasjim, MD MSc Xun Zhao on driving this work - a novel AI method to simulate clinical trials with observational data, using LDLT vs DDLT as example. Broader potential to simulate trials where not feasible to perform, only observational data available

Congrats to colleague Trevor Reichman Ajmera Transplant Centre UHN on this landmark study!

🚨 Excited to share my first-author publication in the prestigious Journal of Hepatology- one of the top avenues for liver research🙏 journal-of-hepatology.eu/article/S0168-… Mamatha Bhat Chris McIntosh Bima J. Hasjim, MD MSc Xun Zhao Toronto General Hospital Research Institute Ajmera Transplant Centre UHN UHN AI Hub UHN Research Temerty Centre for AI in Medicine (T-CAIREM)