
Faisal Mahmood
@ai4pathology
Associate Prof. @Harvard | Faculty @harvardmed @MassGenBrigham @broadinstitute @harvard_data | Multimodal, Generative, & Agentic AI for Biomedicine
ID: 125494187
http://www.mahmoodlab.org 23-03-2010 00:20:32
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Amazing #AACR25 special evening Town Meeting "How AI Will Impact the Future of Pathology"! hosted by Dr. Massimo Loda. Featuring foundation models, agentic AI, benchmarking, multimodal data and drug development! Faisal Mahmood, Jelle Wesseling, Kenneth Bloom & Jorge S. Reis-Filho


it is totally mind-blowing that in the past 5 years, AI has completely re-defined what pathology means. I don't understand how researchers are not in awe about these advancements every day. hearing Faisal Mahmood speak about his lab's research over the years is out of this world


We’re building multimodal all-of-patient foundation models and AI Agents that integrate the patients entire record w temporal alignment to identify cancer resistance traits, predict treatment resp, and discover new biomarkers as part of the ADAPT program. arpa-h.gov/news-and-event…

News feature from Nature Biotechnology highlights our work on 3D Spatial Transcriptomics - VORTEX, read our pre-print here: arxiv.org/pdf/2502.17761 nature.com/articles/s4158…

📅 Tomorrow – Wednesday, May 28 – join us for our last MIA of the spring 💬 Faisal Mahmood 🏫 Division of Medical Sciences at HMS 💡 Multimodal, Generative, and Agentic AI for Pathology 💌 Join our mailing list to stay updated when we return in the fall: bit.ly/MIACast Broad Institute


🚨 Call for submission at our workshop on Computer Vision for Automated Medical Diagnosis #ICCV2025 in 🌴 Honolulu, Hawaii! Join us at #ICCV2025 to present your work on 🤖multimodal LLMs, 🧠agents, & ⚖️ fair, reliable AI for healthcare and medicine. 🗓️ Deadline: June 21,



Moderating an interesting conversation about AI and medicine sponsored by the Boston Museum of Science









📣 If you're at ICML Conference ICML 2025, our superstar graduate student Daniel Shao will be presenting our work on transferability of MIL models and supervised foundation models for computational pathology. Poster session: 11 am - 1:30 pm PST at West Exhibition Hall B2-B3 #W-314
