Sebastian (@twittlabs) 's Twitter Profile
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)

ID: 98210495

calendar_today20-12-2009 21:41:39

1,1K Tweet

677 Followers

1,1K Following

npj Digital Medicine (@npjdigitalmed) 's Twitter Profile Photo

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…

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…
Jarushka Naidoo (@drjnaidoo) 's Twitter Profile Photo

#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 European Research Council (ERC)-funded AI star Jakob Nikolas Kather ESMO - Eur. Oncology @Oncoalert #LCSM

#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 <a href="/ERC_Research/">European Research Council (ERC)</a>-funded AI star <a href="/jnkath/">Jakob Nikolas Kather</a> 

<a href="/myESMO/">ESMO - Eur. Oncology</a> @Oncoalert #LCSM
Jakob Nikolas Kather (@jnkath) 's Twitter Profile Photo

Happy to share our latest paper in NEJM AI , led by Isabella Wiest : "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

Happy to share our latest paper in <a href="/NEJM_AI/">NEJM AI</a> , led by <a href="/IsabellaWies/">Isabella Wiest</a> : "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
Bo Wang (@bowang87) 's Twitter Profile Photo

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

Bo Wang (@bowang87) 's Twitter Profile Photo

Excited to announce the 2nd Workshop on Foundation Models for Medical Vision (FMV) at #CVPR2025! #CVPR2025 🌐 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

Excited to announce the 2nd Workshop on Foundation Models for Medical Vision (FMV) at #CVPR2025! <a href="/CVPR/">#CVPR2025</a>
🌐 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
Alexander Hann (@alexsworking) 's Twitter Profile Photo

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/

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/
Markus Eckstein (@markuseckstein3) 's Twitter Profile Photo

🚨 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

Nature Medicine (@naturemedicine) 's Twitter Profile Photo

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…

Jakob Nikolas Kather (@jnkath) 's Twitter Profile Photo

Very happy to share our new paper on LLM-based tumor board agents. Submitted August 2024, published in Nature Cancer today ☺️ Led by Dyke Ferber nature.com/articles/s4301…

Eric Topol (@erictopol) 's Twitter Profile Photo

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…

Jarushka Naidoo (@drjnaidoo) 's Twitter Profile Photo

The new tumour board? ⁦Nature Cancer⁩ - 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 ⁦Jakob Nikolas Kather⁩ ⁦OncoAlert⁩ nature.com/articles/s4301…

Bo Wang (@bowang87) 's Twitter Profile Photo

#CVPR2025 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 Jakob Nikolas Kather Dr. Faisal Mahmood Faisal Mahmood Dr.

npj Digital Medicine (@npjdigitalmed) 's Twitter Profile Photo

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…

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…
npj Digital Medicine (@npjdigitalmed) 's Twitter Profile Photo

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…