Faisal Mahmood
@ai4pathology
Associate Prof. @Harvard | Faculty @harvardmed @BWHPath @MGHPathology @broadinstitute @harvard_data | via @JohnsHopkins | Multimodal Generative AI for Biomed.
ID: 125494187
http://www.mahmoodlab.org 23-03-2010 00:20:32
740 Tweet
5,5K Takipçi
1,1K Takip Edilen
Very cool stuff from Faisal Mahmood group at Harvard Medical School Brigham and Women's Hospital pioneering work with #AI and #pathology, here in nature
Congratulations 🎉 to Dr. Sharifa Sahai for completing her PhD HMS_SysBio, and special thanks to everyone on the committee Debora Marks Nasir Rajpoot Georg K Gerber.
If you're at #ICML2024 ICML Conference come check out our work on multimodal prototypes and say hi to our superstar Andrew H. Song Paper: arxiv.org/pdf/2407.00224 Poster #202: Multimodal Prototyping for cancer survival prediction When/Where: 7/24 (Wed) 11:30AM ~ 1PM CEST Hall C 4-9
⚡️🔬📣 Here are our two latest preprints on how AI for Pathology can advance pre-clinical drug safety and toxicity assessment. Work led by our superstar postdoc Guillaume Jaume: Deep Learning-based Modeling for Preclinical Drug Safety Assessment 📄 Preprint:
The pace of progress in GenAI for pathology has been stunning but, unfortunately, there are major obstacles for it to move into routine medical care. Faisal Mahmood takes us through this in the new Ground Truths podcast, with transcript, #AI open-access, link in profile
3D tissues can reveal more about disease than traditional 2D slices, but they are enormously complex. Find out how a new AI tool can analyze these data-rich specimens to predict outcomes: nibib.nih.gov/news-events/ne… Andrew H. Song Jonathan Liu Faisal Mahmood Mechanical Engineering at UW
Excited to work on this with Alpenglow Biosciences Faisal Mahmood Eben L Rosenthal, MD Michael Topf MD, MSCI and our talented engineers and clinicians University of Washington !
⚡️🔬📣 We are excited to announce our new #ECCV 2024 European Conference on Computer Vision #ECCV2024 paper "Multistain Pretraining for Slide Representation Learning in Pathology" Led by Guillaume Jaume & Anurag Vaidya this work is the latest iteration of our efforts on whole slide representation learning for
The 5 different patterns of brain aging from ~50,000 individuals, with their relationship to lifestyle, genetics and outcomes, derived from MRI and #AI. nature.com/articles/s4159… Nature Medicine Christos Davatzikos and colleagues
This article (arxiv.org/pdf/2408.15823) from Jakob Nikolas Kather is the most comprehensive effort to compare comp path foundation models to date. Showing that multimodal FMs like CONCH outperform unimodal FMs on unimodal tasks, and that the diversity of data >> quantity of data.
A very thoughtful essay on #AI and the practice of medicine, a moral endeavor that can be tech supplemented but needs a "hard boundary restricting its deployment for tasks requiring moral agency." jamanetwork.com/journals/jamac… by Sarah C. Hull, MD, MBE and Joseph Fins JAMA Cardiology
With Jana Lipkova we wrote about "The age of foundation models in pathology" for NatureRevClinOncol, discussing the Virchow model from Thomas J. Fuchs's team & others 🔬 journal link: nature.com/articles/s4157… full text: rdcu.be/dS4JO