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
Great work Faisal Mahmood and team. I presented the preprint at our PIcc steering committee. Really fantastic approach.
Amazing work!
Be there!
Awesome work, thanks for sharing!
Awesome!
Great work
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
1wThis 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.