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Faisal Mahmood Profile
Faisal Mahmood

@AI4Pathology

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Associate Prof. @Harvard | Faculty @harvardmed @MassGenBrigham @broadinstitute @harvard_data | Multimodal, Generative, & Agentic AI for Biomedicine

Boston, MA 🇺🇸
Joined March 2010
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@AI4Pathology
Faisal Mahmood
1 year
⚡️🔬📣 Excited to share our new @Nature article building and evaluating PathChat, a multimodal generative AI copilot and chatbot for human pathology. Article: Open Access Link: . We leverage our previous success in building
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@AI4Pathology
Faisal Mahmood
3 days
It was a pleasure hosting @hoifungpoon at the lab today!
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@grok
Grok
10 days
What do you want to know?.
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@AI4Pathology
Faisal Mahmood
1 month
📣 If you're at @icmlconf 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
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@AI4Pathology
Faisal Mahmood
2 months
Happy 4th of July 🇺🇸 Celebrating our ideals of freedom, unity & opportunity that bind us all. To our service members, veterans & first responders who safeguard our freedoms, thank you for your dedication. Wishing everyone a safe, joyful Independence Day! #FourthOfJuly.
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@AI4Pathology
Faisal Mahmood
2 months
RT @openminedorg: We just dropped a new FL library to support researchers and organizations grappling with Federated Learning projects. Sy….
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@AI4Pathology
Faisal Mahmood
2 months
Always grateful for my academic family!
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@AI4Pathology
Faisal Mahmood
2 months
RT @eventsWCS: From protein structure and disease modelling to drug discovery and clinical imaging, #AI is redefining how we approach many….
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@AI4Pathology
Faisal Mahmood
2 months
RT @zakkohane: Celebration of the life of Atul Butte. Join colleagues from three universities to celebrate him at 10 am PST on Saturday. h….
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@AI4Pathology
Faisal Mahmood
3 months
📣 Excited to share our new ICML 2025 Spotlight article, “Do Multiple Instance Learning Models Transfer?” – addressing a foundational question for building robust and generalizable MIL models. Read the article: . 👉Enhanced Performance & Robustness:
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@AI4Pathology
Faisal Mahmood
3 months
RT @JunMa_11: Prof. Mahmood @AI4Pathology is sharing the exciting progress in pathology AI. Don't miss the amazing talk! @CVPR @BoWang87 ht….
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@AI4Pathology
Faisal Mahmood
3 months
Looking forward to seeing eveyone at #CVPR2025 this week.
@BoWang87
Bo Wang
5 months
Excited to announce the 2nd Workshop on Foundation Models for Medical Vision (FMV) at #CVPR2025! @CVPR.🌐 FMV brings together researchers pushing the boundaries of medical AGI. We are also proud to host an esteemed lineup of speakers:.Dr. Jakob Nikolas
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@AI4Pathology
Faisal Mahmood
3 months
RT @zakkohane: Moderating an interesting conversation about AI and medicine sponsored by the Boston @museumofscience
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@AI4Pathology
Faisal Mahmood
3 months
👉📣Introducing KRONOS, a panel-agnostic foundation model purpose-built for multiplex spatial proteomics! Access the pre-print here: Trained self-supervised on 47 million single-marker patches spanning 175 protein markers, 16 tissue types, 8 imaging
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@AI4Pathology
Faisal Mahmood
3 months
RT @ShengLiu_: 🚨 Call for submission at our workshop on Computer Vision for Automated Medical Diagnosis @ICCVConference in 🌴 Honolulu, Hawa….
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@AI4Pathology
Faisal Mahmood
3 months
RT @MIA_at_Broad: 📅 Tomorrow – Wednesday, May 28 – join us for our last MIA of the spring. 💬 @AI4Pathology.🏫 @DMSHarvard.💡 Multimodal, Gene….
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@AI4Pathology
Faisal Mahmood
3 months
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.
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arpa-h.gov
The Advanced Research Projects Agency for Health (ARPA-H) supports transformative research to drive biomedical and health breakthroughs ranging from molecular to societal to provide transformative...
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@AI4Pathology
Faisal Mahmood
4 months
RT @simocristea: it is totally mind-blowing that in the past 5 years, AI has completely re-defined what pathology means. I don't understand….
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