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Faisal Mahmood
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Faisal Mahmood
@AI4Pathology
Associate Prof. @Harvard | Faculty @harvardmed @MassGenBrigham @broadinstitute @harvard_data | Multimodal, Generative, & Agentic AI for Biomedicine
Boston, MA 🇺🇸
mahmoodlab.org
Joined March 2010
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    Faisal Mahmood
    @AI4Pathology
    Apr 21
    📣 We are excited and thrilled to announce APOLLO, a healthcare system-scale multimodal temporal foundation model for virtual patient representations. Trained on 25 billion clinical events from 7.2 million patients across 33 years and 28 modalities, APOLLO learns a unified atlas
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    Faisal Mahmood
    @AI4Pathology
    Jun 12, 2024
    ⚡️🔬📣 Excited to share our new @Nature article building and evaluating PathChat, a multimodal generative AI copilot and chatbot for human pathology. Article: nature.com/articles/s4158… Open Access Link: rdcu.be/dKC0r We leverage our previous success in building
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    Faisal Mahmood
    @AI4Pathology
    May 5, 2021
    Excited to share our @Nature paper showing AI-driven computational pathology can be used to predict origins for complicated metastatic and unknown primary cancers. #digitalpathology #DeepLearning #AI Link: rdcu.be/cj1Ai @BrighamResearch @broadinstitute @harvardmed 1/2
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    Faisal Mahmood
    @AI4Pathology
    Aug 8, 2022
    Excited to share our @Cancer_Cell article presenting a pan-cancer integrative histology-genomic analysis, multimodal integration improves prognostic models, discovers molecular & morphologic correlates of prognosis. bit.ly/3PbnUVM @harvardmed @BWHPath @broadinstitute 1/2
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    Faisal Mahmood
    @AI4Pathology
    Mar 19, 2024
    ⚡️🔬📣Excited to share our two new @NatureMedicine articles, we develop computational pathology foundation models, 1. UNI, a self-supervised computational pathology model trained on 100 million pathology images from 100k+ slides. 2. CONCH, a vision-language model for
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    Faisal Mahmood
    @AI4Pathology
    Dec 14, 2023
    We are excited to announce PathChat - a vision-language AI assistant for #Pathology that can analyze histology images and answer diverse pathology-related queries. Co-led by our superstars @MYLu97 @chenbowen118 @DFKW_MD Preprint: arxiv.org/abs/2312.07814 Demo below,
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    Faisal Mahmood
    @AI4Pathology
    Apr 8, 2025
    I shared my thoughts in a @NatureMedicine comment on the urgent need for more standardized benchmarks in #AI for biomedicine. nature.com/articles/s4159…
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    Faisal Mahmood
    @AI4Pathology
    Oct 11, 2022
    Excited to share our @Cancer_Cell review on #AI-driven multimodal data integration in #oncology. We discuss methods, and app. of multimodal data fusion, interconnection, assoc. disc. & more. @BWHPath @MGHPathology @harvard_data @broadinstitute Link: bit.ly/3Cshmhc 1/2
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    Faisal Mahmood
    @AI4Pathology
    Dec 2, 2024
    ⚡️📣After the success of our previous pathology foundation models UNI (rdcu.be/dBMgh) and CONCH (rdcu.be/dBMf6), we are now announcing TITAN (arxiv.org/abs/2411.19666), a new state-of-the-art whole slide level foundation model trained on >330k pathology slides
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    Faisal Mahmood
    @AI4Pathology
    Jun 25, 2024
    What would you do with 1000+ spatial transcriptomics samples with corresponding H&E-stained whole-slide images? Meet HEST-1k, a collection of 1,108 ST samples assembled from 131 public and internal cohorts encompassing 25 organs, 2 species. HEST-1k includes over 1.5 million
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    Faisal Mahmood
    @AI4Pathology
    Sep 18, 2024
    The in-print version of the PathChat @Nature article is now available online with open access nature.com/articles/s4158… learn more about next steps and how PathChat is further being developed at @modella_ai
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    Faisal Mahmood
    @AI4Pathology
    Jan 30, 2025
    ✨📣Introducing THREADS: a multimodal foundation model for pathology trained on paired histology and genomic data 🔬+🧬 We show that: (a) THREADS achieves SOTA performance on >50 tasks in oncologic pathology with much less pre-training data than other models, highlighting the
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    Faisal Mahmood
    @AI4Pathology
    Apr 19, 2024
    ⚡️🔬📣Excited to share our new @NatureMedicine article, examining disparities in pathology AI models, assessing how modeling choices impact disparities, and evaluating the potential of self-supervised foundation models in mitigating these disparities. nature.com/articles/s4159… See
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    Faisal Mahmood
    @AI4Pathology
    Jun 18, 2024
    ⚡️📣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 (nature.com/articles/s4158…) @modella_ai will actualize these exciting
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    ModellaAI
    @modella_ai
    Jun 18, 2024
    🚀We’re thrilled to come out of stealth and announce PathChat 2, the 1st multimodal generative AI copilot for pathology. PathChat 2 improves upon PathChat 1 (recently published @Nature, bit.ly/3XtFSux). youtu.be/fWDU5P0ap28 Waitlist: modella.ai 🧵1/2
    17K

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