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On contrastive learning, shortcuts and some solutions to avoid it! It was fun working with these team Josh Robinson Suvrit Sra Stefanie Jegelka Ke Yu and Li Sun

Looking forward to today's #MLxMed seminar by @GlockerBen from @imperialCollege. His talk is about safe #AI in Medical Imaging Time: Wed 3-4 ET Public Zoom link: ml-in-medicine.org BioMedIA Imperial Shyam Visweswaran Jeremy C. Weiss Pitt Biomedical Informatics #MLforHealth #opensource #reproducibility

"Looking ahead, in a year that the University trains its focus on data and society, we hope to ask profound questions and seek innovative and compassionate answers." Read Pitt Provost Ann E. Cudd's announcement about the upcoming Year of Data and Society: provost.pitt.edu/announcing-yea…

Now available in print: 5th edition of biomedical #informatics text I've been privileged to help edit with @TShortliffe and James Cimino. Superb chapter authors: Jessie Tenenbaum @KBJVanderbilt Philip R.O. Payne, PhD Josh Denny GenevieveMeltonMeaux Sean Mooney Director, National Library of Medicine billhersh.bsky.social Peter Embí, MD, MS 1/2

If vaccine efficacy vs severe covid >85% in > 50 yo and > 90% in <50 yo WHY 60% of hospitalized R vaxxed in oft-cited Israeli study? Confused? Simpson’s paradox + confounders in this clarifying explanation bit.ly/2WcxZvV KUDOS Peter J Park DBMI at Harvard Med for pointer!

Honored that Prof. Emery Brown from MIT IMES will inaugurate the 2nd year of #MLxMed. He’ll talk about deciphering Dynamics of Unconscious Brain Under Anesthesia. The talk is public; Plz RT Wed 3-4 ET Link: ml-in-medicine.org Shyam Visweswaran Jeremy C. Weiss Pitt Biomedical Informatics MIT Picower Institute

Today #MLxMed will host Prof Noemi Elhadad. The talk is about a case study in menstrual health using predictive modeling for self-tracking apps. The talk is public; Plz RT Wed 3-4 ET Link ml-in-medicine.org Shyam Visweswaran Jeremy C. Weiss Pitt Biomedical Informatics Columbia DBMI The Data Science Institute at Columbia University

I had a great discussion with the AMIA Open Source working group about the Simple EMR System, which was designed for lab research with #EHR-users. Check out the discussion here: youtube.com/watch?v=Z_4LN4…

Excited about tomorrow's #MLxMed seminar by Prof. Jimeng Sun from UIUC. His talk is about #DL for #drugdiscovery and development. Please joint us and RT. Time: Wed 3-4 ET Public Zoom link: ml-in-medicine.org Shyam Visweswaran Jeremy C. Weiss Pitt Biomedical Informatics #AI4health #DL4health

Excited about #MLxMed tmrw seminar by Rumi Chunara frm NYU Tandon. She addresses generalizability, robustness, equity for #ML in risk prediction. Plz RT Time: Wed 3-4 ET Link: ml-in-medicine.org Shyam Visweswaran Jeremy C. Weiss Pitt Biomedical Informatics New York University nyupublichealth #AI4health

Looking forward to host Dr. Katherine Heller from Google in #MLxMed seminar today. She will discuss Towards Trustworthy Machine Learning in Medicine. Talk is public. Wed 3-4 ET. See ml-in-medicine.org for details. @Imaging_Gen Shyam Visweswaran Jeremy C. Weiss Pitt Biomedical Informatics #AI4Health

Excited to host Michael Sjoding from University of Michigan in #MLxMed today. He’ll discuss Deep Learning to Detect Findings of the Acute Respiratory Distress Syndrome on Chest Radiographs Wed 3-4 ET Public Zoom link: Link ml-in-medicine.org @Imaging_Gen Jeremy C. Weiss Pitt Biomedical Informatics Dr. Ervin Sejdić

MLxMed starting now. ml-in-medicine.org. Log into Zoom: pitt.zoom.us/j/92071000767

Shyam Visweswaran Dr. Ervin Sejdić Pitt Biomedical Informatics #AI4Health #MLxMed

Joanna Abrahams (Class of 2022) Daniel Capurro (Class of 2019) Adela Grando (Class of 2022) Fei Wang (Class of 2021) Shyam Visweswaran (Class of 2021) Sarah Rossetti (Class of 2019) Philip R.O. Payne, PhD (Class of 2020) Yuan Luo (Class of 2020) And former EB (and AE) of JBI:

#MLxMed is hosting Ehsan Adeli from Stanford University. Large-scale models + bias in the healthcare domain 🔥 🔥.  The talk is public and virtual. Please RT.  Wed, 3-4 Eastern Time  Please visit: ml-in-medicine.org Yannis Paschalidis Shyam Visweswaran Dr. Ervin Sejdić Pitt Biomedical Informatics Hariri Institute for Computing, Boston University

We are excited to host Pallavi Tiwari from UW–Madison this Wednesday. She will discuss the challenges and opportunities of AI for Precision Medicine. Link to talk: ml-in-medicine.org Wed Apr 18, 3-4 ET  Yannis Paschalidis Shyam Visweswaran Dr. Ervin Sejdić Hariri Institute for Computing, Boston University #MLxMed

Looking forward to this talk by Akshay Chaudhari !

The work is done by my wonderful student Shantanu Ghosh and supportive collaborators Clare Poynton and Shyam Visweswaran in Boston University and BU Engineering Pitt Biomedical Informatics . Special thanks to Hariri Institute for Computing, Boston University for funding this project. 3/n cc:Yannis Paschalidis

This week we will present Mammo-CLIP (top 11%) at #MICCAI2024 at MARRAKESH. Here are all the details: Poster #: 926 (Poster session 5) Date/Time: Oct 9, Wednesday, 10.30-11.30 AM Project: lnkd.in/esH2TkPv Poster: lnkd.in/eJQDb3pd Paper: lnkd.in/eTZyBwyE