Faisal Mahmood’s Post

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

Mahmood Lab dinner at #CVPR, we are hiring at all levels if you’re interested come see us at one of our talks, posters or demos.

Today we are tremendously excited to announce Modella AI the first startup from Mahmood Lab, based on an array of foundation models and generative AI tools including our recent PathChat article in @Nature (https://lnkd.in/epAYukDj) Modella AI will actualize these exciting developments and put them in the hands of pathologists, clinicians, researchers, and trainees. See our announcement below and sign up for the PathChat 2 waitlist at https://modella.ai Congratulations to the entire team and especially Richard J. Chen Jill Stefanelli Ming Yang (Max) Lu Kuan Chen Bowen Chen Long Phi Le, and everyone else, stay tuned for exciting additional announcements.

Thanks to Brittany Trang for covering our PathChat Nature article (https://lnkd.in/epAYukDj) in STAT - AI for biopsies can analyze microscopy images, talk to pathologists about your tumor https://lnkd.in/e_SFidS7 #GenAI4Pathology #PathChat #DigitalPathology

Mahmood Lab will be presenting three articles (TANGLE - oral, Panther, and SurvPath) at the #CVPR2024 main conference, two demos (PathChat and TriPath) and talks at the workshop on foundation models for medical vision, and computer vision for science. We are also recruiting at all levels come talk to us about opportunities.

⚡️🔬📣 Excited to share our new Nature article building and evaluating PathChat, a multimodal generative AI copilot and chatbot for human pathology. Article: https://lnkd.in/epAYukDj We leverage our previous success in building foundation models for computational pathology such as UNI / CONCH and combine it with the advancements of large vision language models and generative AI to enable PathChat to answer diverse pathology-related queries. We assessed PathChat using both multiple choice diagnostic questions and open-ended questions. Congratulations to Ming Yang (Max) Lu Bowen Chen Drew Williamson Richard J. Chen and everyone else who contributed to this work. Also see blog post from Ming Yang (Max) Lu about this work: https://lnkd.in/eBxi_sWT , also teasing the development and preview of PathChat 2, a successor to PathChat 1 bringing new capabilities and substantially improved performance to the state-of-the-art.