Faisal Mahmood (@ai4pathology) 's Twitter Profile
Faisal Mahmood

@ai4pathology

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

ID: 125494187

linkhttp://www.mahmoodlab.org calendar_today23-03-2010 00:20:32

770 Tweet

6,6K Followers

1,1K Following

Pei-Ling Chen MD PhD (@peilingchen_md) 's Twitter Profile Photo

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

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! <a href="/AI4Pathology/">Faisal Mahmood</a>, Jelle Wesseling, Kenneth Bloom &amp; Jorge S. Reis-Filho
Simona Cristea (@simocristea) 's Twitter Profile Photo

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

Wellcome Connecting Science Learning and Training (@eventswcs) 's Twitter Profile Photo

From protein structure and disease modelling to drug discovery and clinical imaging, #AI is redefining how we approach many biological challenges. Hear from experts working at the forefront of #AIforBiology at #AIxBIo25! ⏰Register by 27 May: bit.ly/4gh164E

Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

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…

Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

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…

Models, Inference & Algorithms at Broad (@mia_at_broad) 's Twitter Profile Photo

📅 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

📅 Tomorrow – Wednesday, May 28 – join us for our last MIA of the spring

đź’¬ <a href="/AI4Pathology/">Faisal Mahmood</a>
🏫 <a href="/DMSHarvard/">Division of Medical Sciences at HMS</a>
đź’ˇ Multimodal, Generative, and Agentic AI for Pathology

đź’Ś Join our mailing list to stay updated when we return in the fall: bit.ly/MIACast

<a href="/broadinstitute/">Broad Institute</a>
Sheng Liu (@shengliu_) 's Twitter Profile Photo

🚨 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,

🚨 Call for submission at our workshop on Computer Vision for Automated Medical Diagnosis <a href="/ICCVConference/">#ICCV2025</a> in 🌴 Honolulu, Hawaii!
Join us at #ICCV2025 to present your work on 🤖multimodal LLMs, 🧠 agents, &amp; ⚖️ fair, reliable AI for healthcare and medicine.
🗓️ Deadline: June 21,
Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

👉📣Introducing KRONOS, a panel-agnostic foundation model purpose-built for multiplex spatial proteomics! Access the pre-print here: arxiv.org/pdf/2506.03373 Trained self-supervised on 47 million single-marker patches spanning 175 protein markers, 16 tissue types, 8 imaging

👉📣Introducing KRONOS, a panel-agnostic foundation model purpose-built for multiplex spatial proteomics! Access the pre-print here: arxiv.org/pdf/2506.03373

Trained self-supervised on 47 million single-marker patches spanning 175 protein markers, 16 tissue types, 8 imaging
Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

📣 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: arxiv.org/pdf/2506.09022 👉Enhanced Performance & Robustness:

📣 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: arxiv.org/pdf/2506.09022 

👉Enhanced Performance &amp; Robustness:
OpenMined (@openminedorg) 's Twitter Profile Photo

We just dropped a new FL library to support researchers and organizations grappling with Federated Learning projects. Syft_Flwr combines Flower’s flexibility with the privacy-preserving networking capabilities of SyftBox. Links in the thread ↓

We just dropped a new FL library to support researchers and organizations grappling with Federated Learning projects.

Syft_Flwr combines Flower’s flexibility with the privacy-preserving networking capabilities of SyftBox.

Links in the thread ↓
Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

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

Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

📣 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

📣 If you're at <a href="/icmlconf/">ICML Conference</a> ICML 2025, our superstar graduate student <a href="/Daniel__Shao/">Daniel Shao</a> 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