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Happy to share our latest paper: Transformers can predict clinical outcome directly from MRI in #rectal #cancer 🤖🤩🏥 we are extending weakly supervised deep learning approaches from pathology to radiology with Daniel Truhn Else Kröner Fresenius Center for Digital Health @Medizin_TUD DKFZ Nationales Centrum für Tumorerkrankungen Dresden NCT Heidelberg

Remodeling of the immune and stromal cell compartment by PD-1 blockade in mismatch repair-deficient colorectal cancer dlvr.it/Sqkmf5

Looking forward to speaking at Memorial Sloan Kettering Cancer Center in October 2023 🤩🤩 together with amazing faculty FabriceAndre Ignacio Melero & many others Else Kröner Fresenius Center for Digital Health NCT Heidelberg Nationales Centrum für Tumorerkrankungen Dresden TU Dresden Gustave Roussy #TumourLandscape23

In the phase 3 GLOW trial, CAPOX plus zolbetuximab significantly improved progression free survival and overall survival in patients with CLDN18.2+, HER2- untreated #GastricCancer or gastroesophageal junction adenocarcinoma Astellas Pharma US Manish A. Shah nature.com/articles/s4159…

If I could give aspiring scientists and trainees one piece of advice it would be this: Find a mentor who cares enough about you to do this 👇 #Mentorship #AcademicChatter #PhysicianScientist #CareerAdvice

Stay warm🔥🧥

📢Introducing GenePT, our new #gene + #singlecell #foundationmodel built from #ChatGPT. It's simple yet surprisingly effective! 1. we use text summary + #ChatGPT to generate embedding for each gene 2. cell embedding = avg of gene vectors weighted by expression GenePT can

Today we are hosting „#AI in #medicine“ by Else Kröner Fresenius Center for Digital Health and Sächsische Staatskanzlei at @Medizin_TUD TU Dresden Nationales Centrum für Tumorerkrankungen Dresden DKFZ 🏥📺🩺 👉 discussing AI in healthcare 👉 research presentations 👉 locally developed AI products We are an AI hotspot and we have big plans for the future 🌳

NEW Research: "End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study ". #ColorectalCancer #DeepLearning Jakob Nikolas Kather Jiang Xiaofeng Else Kröner Fresenius Center for Digital Health DKFZ TU Dresden Nationales Centrum für Tumorerkrankungen Dresden NCT Heidelberg Read it here: buff.ly/41squ1n

Happy to share our latest preprint led by Omar S.M. El Nahhas 🌟: A manual for our deep learning pipeline for pathology image analysis, tried and tested in dozens of projects, fully open source. TU Dresden @nct_hd Nationales Centrum für Tumorerkrankungen Dresden @Medizin_TUD arxiv.org/abs/2312.10944

Welcome new Precision Medicine and Biomarkers Senior Editor Jakob Nikolas Kather, MD, who brings cutting-edge expertise in clinical AI applications—a new horizon in #precisionmedicine and clinical management of cancer. bit.ly/4b72V2F

New research - Chanchlani et al - Mechanisms and management of loss of response to anti-TNF therapy for patients with Crohn’s disease: 3-year data from the prospective, multicentre PANTS cohort study thelancet.com/journals/langa… #GITwitter #IBD

Happy to share our new comment in Nature Reviews Cancer on guardrails for the use of generalist medical AI (GMAI) in oncology; with my brilliant colleague Stephen Gilbert from TU Dresden @Medizin_TUD. We discuss key regulatory challenges & propose physician-centric approaches to

Finally out in NEJM AI 🤖, led by Dyke Ferber from katherlab: "GPT-4 for Information Retrieval and Comparison of Medical Oncology Guidelines". We've developed a RAG pipeline using the GPT-4 API to answer medical oncology questions based on guidelines. Previous studies have claimed

New preprint from katherlab, led by Isabella Wiest - large language models can solve one of the hardest problems in medical informatics - robustly anonymizing unstructured medical documents. This unlocks a large source of clinical data for downstream AI applications. Available

#LungCancer incidence and mortality rates are projected to rise sharply by 2040, posing an urgent challenge for Asian healthcare systems Join Yi-Long Wu for our webinar as he discusses the diverse challenges of lung cancer in Asia: hubs.li/Q02CtR4B0 🗓️ Jul 9, 09:30 BST

New article from katherlab in Nature Medicine: large language models for interoperability in healthcare 👇