Sebastian
@twittlabs
Board-certified Pathologist, Former Member of the Board of Directors of the German Society of Pathology (no medical advice-opinions are my own)
Happy to share our latest publication in @NatureMedicine 🩺🧬🔬 nature.com/articles/s4159…. We designed a multistain deep learning model and trained, validated, and tested it on imaging data of different immune cell subtypes of over 1000 patients with #colorectal #cancer. Our …
This study developed and evaluated an autonomous clinical artificial intelligence agent leveraging GPT-4 and multimodal precision oncology tools to support personalized cancer decision-making nature.com/articles/s4301…
A great overview of AI in medicine from @jnkath keynote at @ESDIPatho #ECDP2025!
There are over 7000 rare diseases. Due to clinicians’ limited experience with such diseases and the heterogeneity of clinical presentations, 70% of individuals remain undiagnosed. Can deep learning help close the gap? nature.com/articles/s4174…
Celebration of the life of Atul Butte. Join colleagues from three universities to celebrate him at 10 am PST on Saturday.
Very happy to share our recent article in Nature Cancer on AI Agents for Decision Making in Cancer :) @jnkath
A paper in @NatureCancer presents an autonomous artificial intelligence agent system for deployment of specialized medical oncology computational tools. The AI agent reached correct clinical conclusions in 91% of cases. go.nature.com/4dZKaQC
@CVPR IS AROUND THE CORNER! #CVPR2025 Welcome to join our Medical Vision Foundation Model Workshop on June 11th, from 8:30 to 12:00 at Room 212.! We are also proud to host an esteemed lineup of speakers: Dr. Jakob Nikolas Kather @jnkath Dr. Faisal Mahmood @AI4Pathology Dr.…
Excited to announce the 2nd Workshop on Foundation Models for Medical Vision (FMV) at #CVPR2025! @CVPR 🌐 fmv-cvpr25workshop.github.io FMV brings together researchers pushing the boundaries of medical AGI. We are also proud to host an esteemed lineup of speakers: Dr. Jakob Nikolas…
The new tumour board? @NatureCancer - multimodel AI agent integrates patient data using GPT-4, MSI/KRAS/BRAF slides, radiologic images, OncoKB/PubMed/Google - AI agent makes correct clinical decision in 91% cases @jnkath @OncoAlert nature.com/articles/s4301…
A big day for medical A.I. publications! Oncology agent for decision making nature.com/articles/s4301… Forecasting infectious disease nature.com/articles/s4358… Dermatology nature.com/articles/s4159… Predicting stroke nature.com/articles/s4155…
Very happy to share our new paper on LLM-based tumor board agents. Submitted August 2024, published in @NatureCancer today ☺️ Led by @Dykex6 nature.com/articles/s4301…
We are recruiting! We are seeking a talented individual to join Nature Medicine’s international team to champion research in #AI, digital medicine and health informatics. The position is open for applicants in New York and Milan - deadline is May 30. springernature.wd3.myworkdayjobs.com/SpringerNature…
🚨 New preprint drop! MOSAIC builds a pan-cancer spatial + single-cell multi-omics atlas of thousands of tumors, exposing the fine-grained mosaic of intra-tumoral heterogeneity and immune niches. A game-changer for #PrecisionOncology and data-hungry AI models. More to come (much…
What a fantastic and intense meeting with @Bicycle_tx in Cambridge !exciting journey to travel on the nectin4 amplification road! @niklas_kluemper #precision oncology
Honored to host our Clinical Advisors @niklas_kluemper and @Markuseckstein3 and our collaborator @braegelmannlab at our UK office this week. As part of their visit, our team was treated to a deep-dive seminar on NECTIN4 gene amplification. #PrecisionOncology at its finest!
The research work group #InExEn is growing! I am very happy to welcome 7 new members since Feb 2025! Through interdisciplinary work of software developers, game designers, engineers and physicians, we can improve digestive health and help our patients. ukw.de/en/inexen/home/
Excited to announce the 2nd Workshop on Foundation Models for Medical Vision (FMV) at #CVPR2025! @CVPR 🌐 fmv-cvpr25workshop.github.io FMV brings together researchers pushing the boundaries of medical AGI. We are also proud to host an esteemed lineup of speakers: Dr. Jakob Nikolas…
Ready for the most powerful foundation model for medical images/videos? 🚨 Just dropped: MedSAM2 The next-gen foundation model for 3D medical image & video segmentation — built on top of SAM 2.1. • Project site: medsam2.github.io • Paper: arxiv.org/abs/2504.03600 Why…
Happy to share our latest paper in @NEJM_AI , led by @IsabellaWies : "Deidentifying Medical Documents with Local, Privacy-Preserving Large Language Models: The LLM-Anonymizer" ai.nejm.org/doi/full/10.10… You can use our open source tool with local LLMs to robustly de-identify medical…
#ELCC25 AI in lung cancer Superb overview of AI in - pathology - large language models - integration of these data to answer the big biomarker questions in oncology A must-watch by @ERC_Research-funded AI star @jnkath @myESMO @Oncoalert #LCSM
We are delighted to have been invited to present our #AI projects and the #VR simulator ViGaTu at the Digital Health Innovation Forum of the @HPI_DE Thanks to @DGVSJuGa !! Impressive event by @arieldora
After 11 years in Germany, I'm thrilled to share that I've joined @PennMedicine as an Assistant Professor on the @PennAI2D team! Excited to meet new friends and collaborators. I'm hiring postdocs in radiological image analysis & self-supervised learning—DM if interested! #hiring
This study found that AI-generated clinical reviews often have fewer references, less comprehensive insights, and lower logical consistency than human reviews. nature.com/articles/s4174…