{"entity":{"id":"titan","kind":"technology","name":"TITAN (whole-slide multimodal model)","aka":[],"tldr":"TITAN is a model that summarises a whole slide, not just tiles, and can write a draft pathology report.","summary":"TITAN is a whole-slide pathology foundation model from the Mahmood Lab. Rather than embedding individual tiles, it runs a slide-level transformer over CONCH tile features and aligns the resulting representation with pathology report text, and it was pretrained on 335,645 whole slides using both vision-only and vision-language objectives. The slide-level embeddings support retrieval of rare cancers, prognosis prediction and generation of draft pathology reports, and it is released for research. Generated text needs pathologist review, and the model has not been prospectively validated in clinical workflows. Its contribution is architectural: it shows how to summarise a gigapixel slide into one vector that carries diagnostic meaning. TITAN is the step from reading patches of tissue to reading the whole slide.","status":"emerging","asOf":"2026-09-08","links":[{"label":"TITAN (arXiv 2024)","url":"https://arxiv.org/abs/2411.19666"}],"tags":["foundation-model","pathology"],"related":[],"cancers":[],"sections":["ai-computation"],"technologies":["pathology-foundation-model","uni-conch"],"targets":[],"drugs":[],"companies":[],"institutions":["dana-farber"],"pathways":[],"terms":[],"trials":[],"people":[],"bottlenecks":[],"keyPapers":[],"journals":[],"dependsOn":[],"notes":[],"principle":"Slide-level transformer over CONCH tile features, aligned with report text.","strengths":["Slide-level representation","Report generation"],"limitations":["Research release","Generated text needs pathologist review"],"since":2024},"route":"/technologies/titan/","neighbours":{"section":[{"id":"ai-computation","kind":"section","name":"AI & Computation","route":"/fronts/ai-computation/"}],"technology":[{"id":"pathology-foundation-model","kind":"technology","name":"Pathology & radiology foundation models","route":"/technologies/pathology-foundation-model/"},{"id":"uni-conch","kind":"technology","name":"UNI and CONCH (Harvard, Mahmood Lab)","route":"/technologies/uni-conch/"}],"institution":[{"id":"dana-farber","kind":"institution","name":"Dana-Farber Brigham Cancer Center","route":"/institutions/dana-farber/"}],"roadmap":[{"id":"ai-oncology-roadmap","kind":"roadmap","name":"AI in oncology roadmap: pattern readers → foundation models → agents in the workflow","route":"/roadmaps/ai-oncology-roadmap/"},{"id":"ai-oncology-clinic","kind":"roadmap","name":"AI in the oncology clinic: from narrow cleared tools to multimodal decision support","route":"/roadmaps/ai-oncology-clinic/"}],"term":[{"id":"ehr-text-pathology-reports","kind":"term","name":"Clinical text: EHR notes and pathology reports","route":"/terms/ehr-text-pathology-reports/"},{"id":"pathology-foundation-models","kind":"term","name":"Pathology foundation models: UNI, UNI2, Virchow2, CTransPath, CONCH, TITAN","route":"/terms/pathology-foundation-models/"}]}}