📣✨ 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 importance of multimodal foundation models (b) THREADS particularly does better on more difficult tasks such as treatment response prediction highlighting how capturing the molecular landscape underlying morphological patterns is important. See the pre-print and read the blog for additional insights: Preprint: https://lnkd.in/eDiQwgVJ Blog post: https://lnkd.in/e-5uQwYU Code & Model: Coming soon, keep an eye out at https://lnkd.in/eBp8Wbvk Congratulations to Anurag Vaidya Guillaume Jaume Andrew Zhang (https://lnkd.in/dVmpr8Hs) and everyone else who contributed to this work.
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Exciting to see the progress of FMs in pathology —a game-changer!
Exciting, thank you for the great work! Will the data from MGH and BWH publicly available?
The combination of histology and genomics is very powerful.
It’s amazing. Was just thinking how such can be implemented
Wowww! Congratulations on the work that's awesome. Were working on the similar stuff. Thank you!
Congratulation
Medical Director & Radiologist l Healthcare Technology Innovation & Ventures | Sifted Top 25 HealthTech Expert
1moAmazing. Dreamed about such model, you made it. This is a powerful progress and it’s just the beginning ! Imagine adding radiology; another dimension; the macro + the micro