Faisal Mahmood’s Post

View profile for Faisal Mahmood, graphic

Associate Professor, Harvard & MGB - AI for Health

Delighted to announce MMP, a prototype-based multimodal framework combining histology and transcriptomics for cancer outcome prediction, to appear in #ICML 2024 [ICML] Int'l Conference on Machine Learning. Congratulations to our superstar postdoc Andrew Song (https://lnkd.in/dYSsdTj9) and rest of the team who helped the study. Paper: https://lnkd.in/eDgfhEjB Code: https://lnkd.in/epY-Th7N This represents the latest iteration of the multimodal fusion frameworks our lab has investigated since Pathomic Fusion by Richard J. Chen in 2019. #ComputationalPathology #DigitalPathology #ICML2024 #MultimodalFusion

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Hooman H. Rashidi, MD, MS, FCAP

Associate Dean of AI in Medicine, Univ. of Pittsburgh SOM Professor & Endowed Chair of Lombardi-Shinozuka Experimental Pathology Research Executive Vice Chair, Computational Pathology Executive Director, CPACE AI Center

1w

This is amazing and indeed the future of our practice. I guess I shouldn’t be too surprised since it is coming from Dr. Mahmood and his team of superstars.

Joe Lennerz

Chief Scientific Officer, BostonGene, Ma, USA

2w

Great work Faisal Mahmood and team. I presented the preprint at our PIcc steering committee. Really fantastic approach.

Kyriakos Toulgaridis

Senior AI Engineer @ Proscia

1w

Amazing work!

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madhu dewan

Locum Consultant Histopathologist in NHS Trust Hospital

1w

Be there!

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Arpit Aggarwal

PhD Candidate at Georgia Tech and Emory University | AI in Healthcare | Digital Pathology

2w

Awesome work, thanks for sharing!

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Sidarth Radjou

CEO at Okomera | Drug Discovery with AI & Microfluidics powered organoid screening tech

2w

Awesome!

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Dr. Ishtiaq Ahmed

University of veterinary and Animal sciences Lahore

2w

Great work

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