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Today I presented and discussed my latest works on regression in computational pathology at the Faisal Mahmood lab meeting 🤩. Thank you for the invitation! Sophia J. Wagner Andrew H. Song

Looking forward to presenting at the AI in Pathology workshop for the 3rd year already! See you there 🤩

Being able to see the field >2 years ahead and trying to convince people in the present is not an easy job! 💭🚀

Enjoying the opportunity to meet Omar S.M. El Nahhas in person in the AI course organized by @Caldera60373705 in Paris with Jakob Nikolas Kather. Talking about STAMP of course.

Excited to present my latest work accepted in #MICCAI2024 on joint multi-task learning in computational pathology! We reach SOTA performance on predicting MSI and HRD status by learning auxiliary regression tasks related to the tumor microenvironment 🔬 arxiv.org/abs/2403.03891

Today marks the end of the #TANGERINE summer school 2024, where I had the pleasure to present the final session on commercializing academic research 🗣️

Today I had my computer science PhD status talk, a formal requirement enabling submission of the thesis! The examination was a success, and I’m now well-equipped with feedback to finalize my PhD thesis 🎉 Big thank you to my mentor/supervisor Jakob Nikolas Kather and MOSAIC Group! 🤩

New research from katherlab on #computational #pathology: We benchmark pathology foundation models 👇 Several of these are publicly available under permissive licenses. arxiv.org/abs/2408.15823 Some takeaways: 1. The vision-language model CONCH (Faisal Mahmood) outperforms

This article (arxiv.org/pdf/2408.15823) from Jakob Nikolas Kather is the most comprehensive effort to compare comp path foundation models to date. Showing that multimodal FMs like CONCH outperform unimodal FMs on unimodal tasks, and that the diversity of data >> quantity of data.

Happy to announce that StratifAI has raised €1.5M in pre-seed funding 🚀 Check out the press release below 👇 t.ly/ydrmF And we're also hiring for roles in Berlin 👇 t.ly/y0F-x

Honored to have been invited for an oral presentation in addition to my poster presentation at #MICCAI2024 for my latest paper “Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology” 🤩 See you there! katherlab Else Kröner Fresenius Center for Digital Health

Latest publication out :) Very interesting experience to deploy a software solution on so many hospital systems across the world, which shaped the protocol until what it’s finally become. Thank you to all the collaborators who tested and improved the protocol!🤩

#NewNProt moves from whole-slide image to #biomarker prediction: end-to-end weakly-supervised #deeplearning in #computationalpathology bit.ly/3zoUh1w

New paper from katherlab led by Omar S.M. El Nahhas et al. 😊👇

Happy to see our latest Nature Protocols protocol being included in 'Cancer at Nature Portfolio' - a curated collection of cutting-edge cancer research, methods, and reviews from across Nature journals. Check it out here 👇 nature.com/collections/bp…

Just arrived at #MICCAI2024 in Marrakesh, and already enjoying the beautiful weather and amazing food 🇲🇦 has to offer. Looking forward to giving my oral presentation on Wednesday, and exchange ideas + get inspired from all the great research work here 🌞

Had a great time at #MICCAI2024 🇲🇦, giving an oral presentation in front of a large audience, doing a poster session with dozens of interested people, and connecting with amazing people in the field of medical imaging 🤩 See you at the next edition! 🇰🇷

Good to see this in print. We built Orpheus, a model to infer OncoType score from H&E and pathology text reports, finding that multimodality strengthens inference. We also tuned directly on metastatic recurrence to refine TAILORx low/intermed. risk groups. nature.com/articles/s4146…

Featured today by MSK Library: Multimodal histopathologic models stratify hormone receptor-positive early breast cancer #BreastCancer #Histopathology #HormoneReceptorPositive #CancerResearch #PrecisionMedicine Kevin Boehm Omar S.M. El Nahhas Antonio Marra Lior Braunstein

Very happy to share our recent article in Nature Cancer on AI Agents for Decision Making in Cancer :) Jakob Nikolas Kather