After years of work, our paper is now out in npj Digital Medicine: we developed an AI for polyp detection and tested it in a randomized clinical study in GI practices. www.nature.com/articles/s41...
The software is freely available via our lab website. #AI #Gastroenterology #DigitalHealth
🙌 Welcome to the ESMO Sarcoma and Rare Cancers Congress 2026!
12–14 March, Lugano.
Hope, care and action drive breakthroughs.
Thank you for being part of this progress.
#ESMORareCancers26 #esmomeetings
🔗 https://ow.ly/B9qr50YsINg
Launching The Lancet Pulse 🚀
From xenotransplantation to psychedelic drug research, The Lancet Pulse translates science into practical insights about new clinical research—and why it matters.
Listen today: spkl.io/63327AvjMX
Fantastic work by @thelancet.com team. It was wonderful chatting with you. Check out our episode about #AI in #Pathology 🔬🤖🧬 and the other cool topics as well 🚀 #Podcast #Clinical #Research #TheLancet #Pulse #MedSky
🎇 Die Allianz der Rhein-Main-Universitäten (RMU) @goetheuni.bsky.social, @unimainz.bsky.social und @tuda.bsky.social wünscht einen guten Start in ein gesundes und glückliches neues Jahr - cheers to a healthy, happy and successful 2026 🎇
#RMU #RheinMainUniversitäten #Verbund #FrohesNeues
AI Grand Rounds Episode 37 What Values Are in AI? A Conversation with Dr. Zak Kohane A photo of Dr. Kohane
In the latest episode of the AI Grand Rounds podcast, Dr. Zak Kohane, editor-in-chief of NEJM AI, explains why this year’s advances in #AI were personal, why it’s spreading fast, and why its most profound theme is values. Full episode: nejm.ai/ep37
#MedSky #MLSky
Humans and machines make the same mistakes — just for different reasons. On NEJM AI Grand Rounds, Dr. Laura Zwaan discusses bias, cognition, and #AI. Full episode: nejm.ai/ep36
#MedSky #MLSky
Now out in @natcomputsci.nature.com: "Adaptive validation strategies for real-world clinical artificial intelligence"
It was a pleasure working on this piece with @jnkt.bsky.social, excited to finally see it published!
#medicalAI #clinicalAI #digitalhealth #translationalresearch
#DFG verlängert Förderung für exzellente Forschung an der Universitätsmedizin Mainz: 3. Förderperiode für #Sonderforschungsbereich zur Entwicklung neuer Immuntherapien gegen #Krebs unter Federführung der #UnimedizinMainz 👉 https://sohub.io/qdbx
📢 @fionakolbinger.bsky.social and @jnkt.bsky.social characterize the discordance between metrics used to evaluate AI tools and their clinical impact, proposing a framework to reduce this disconnect. www.nature.com/articles/s43... @tudresden.bsky.social @ekfzdigital.bsky.social
🔓 rdcu.be/eQmQp
Figure 3. Per-Test Performance of Models and Humans of Varying Training Levels.
A new study introduces a publicly available script concordance test benchmark that reveals important limitations in the clinical reasoning capabilities of leading LLMs, particularly in processing new information under uncertainty. nejm.ai/3KlD5yX
@liamgmccoy.bsky.social #AI #MedSky #MLSky
"Der Hochschulwettbewerb im Wissenschaftsjahr 2026 - Medizin der Zukunft. Junge Forschende aller Fachrichtungen aufgepasst: 10 x 10.000 Euro zu gewinnen! Gesucht sind Projektideen, die Forschung lebendig erzählen, Begegnungsräume schaffen und neue Perspektiven öffnen. Wann wird eure Idee zur Brücke zwischen Wissenschaft und Gesellschaft? www.hochschulwettbewerb.net/2026"
Logo Hochschulwettbewerb, "Darum geht's. Der Hochschulwettbewerb fördert kreative Projekte zum Thema Medizin der Zukunft an der Schnittstelle zwischen Forschung und Wissenschaftskommunikation. Wie wäre es mit der Science Fiction Simulation einer Praxis im Jahr 2025 oder einem Pop-Up-Labor zur Bestimmung des Blutzuckerspiegels? www.hochschulwettbewern.net/2026"
)Logo Hochschulwettbewerb. "So könnt ihr mitmachen. Vom Studi bis Postdoc: Junge Forschende aller Fachrichtungen sind ausdrücklich eingeladen, sich zu bewerben. Die 10 besten Ideen erhalten jeweils 10.00 Euro zur Umsetzung und eine fachliche Begleitung durch das Jahr. Bewerbt euch online bis zum 30. November 2025 unter hochschulwettbewerb.net/2026"
"Der Hochschulwettbewerb im Wissenschaftsjahr 2026-Medizin der Zukunft. Ein Projekt von: Logo Wissenschaft im Dialog, Logo Bundesministerium für Forschung, Technologie und Raumfahrt. In Kooperation mit: Logo Hochschulrektorenkonferenz, Logo Die Junge Akademie, Logo Bundesverband Hochschulkommunikation, Logo Gesellschaft Deutscher Naturforscher und Ärzte."
Der #Hochschulwettbewerb 2026 startet! Wir suchen Ideen zur Medizin der Zukunft: von KI und Telemedizin bis hin zu gesellschaftlichen und künstlerischen Perspektiven.
Die besten 10 Projekte erhalten je 10.000 €!
Ihr könnt euch bis zum 30.11.2025 bewerben.
Alle Infos: www.hochschulwettbewerb.net/2026
Die Uniklinik RWTH Aachen sucht dringend Blutspender*innen, um dem Engpass in der Versorgung zu begegnen. Ihr könnt innenstadtnah spenden in der Großkölnstraße 32 in Aachen. 👍Achtung: Eine Spende in der Uniklinik selbst ist nicht möglich.
➡️ www.ukaachen.de/kliniken-ins...
Figure 1. Schematic Diagram of MedAgentBench Framework.
MedAgentBench, a comprehensive benchmark designed to evaluate the agentic capabilities of large language models in realistic EHR environments, provides a critical foundation for advancing and integrating LLM agents into clinical workflows. Learn more: nejm.ai/45AUXwS
#AI #MedSky #MLSky
Bluesky CEO Jay Graber emphasized the importance of critical thinking and developing a generalist skillset for the AI era.
📣 ERC Synergy Grant 2026 call for proposals is now open!
Application deadline 5 November 2025.
📝 Groups of 2-4 researchers
📝 Jointly addressing ambitious problems & with different skills
Application portal 👉 europa.eu/!XpwptY
General info 👉 europa.eu/!PR6gt8
#ERCSyG #FrontierResearch
Thank you for sharing! It was a pleasure working on this, together with @twittlabs.bsky.social , @jnkt.bsky.social and many others...
Figure 1. Experimental Outline to Estimate the Impact and the Clinical Representation of Labeled Pathology Slides.
Figure 2. Incorrect Labels on Whole-Slide Images Reduce the Accuracy of Vision–Language Models Regardless of Task.
Figure 3. Misleading Watermarks Lead to a Loss in Accuracy of Tissue-of-Origin Prediction.
Case Study by J. Clusmann et al.: Incidental Prompt Injections on Vision–Language Models in Real-Life Histopathology nejm.ai/4mrSoEW
@janclusmann.bsky.social #AI #MedSky #DigitalHealth
Figure 3. Misleading Watermarks Lead to a Loss in Accuracy of Tissue-of-Origin Prediction.
Handwritten labels and watermarks on histopathological images can unintentionally act as prompt injections, misleading vision–language models and resulting in inaccurate outputs that highlight a critical vulnerability in medical #AI systems. Learn more: nejm.ai/4mrSoEW
#MedSky #DigitalHealth
A big day for medical A.I. publications!
—Oncology agent for decision making
nature.com/articles/s43...
—Forecasting infectious diseases
nature.com/articles/s43...
—Dermatology
nature.com/articles/s41...
—Predicting stroke
www.nature.com/articles/s41...
very happy to share our new paper on LLM-based tumor board agents. Submitted August 2024, published in @natcancer.nature.com today ☺️ Led by Dyke Ferber www.nature.com/articles/s43...
Dream Police alert: InterpolAI for enhanced 3D imaging (CODA, MRI, EM, confocal).
Read about and InterpolAI here: www.nature.com/articles/s41...
Finally out, in NEJM AI!
Everyday labels and watermarks can override medical knowledge of vision language models, just by their presence.
Was a lot of fun to work on this with @twittlabs.bsky.social , @jnkt.bsky.social and many others
Excited to share our new publication in @ai.nejm.org „Incidental Prompt Injections on Vision-Language Models in Real-Life Histopathology“. Important work together with our amazing colleagues @janclusmann.bsky.social @jnkt.bsky.social @markuseckstein3.bsky.social et al. ai.nejm.org/stoken/defau...
graph of NIH basisfor new drugs
A pie graph worth keeping in mind as the NIH budget plummets jamanetwork.com/journals/jam... for 356 new FDA drugs approved
We are pushing for an acceleration… and it might end up coming.
It has been way too long until Europe started to slowly get moving.
Still need to do a lot
very happy to share our latest preprint, led by Michaela Unger: www.biorxiv.org/content/10.1... We are using Deep Learning to improve the detection of biomarkers in cancer genomic data 👇 This is an emerging field, much more to come.
Today at the Johns Hopkins Bloomberg Center in DC:
"Don't blame the Messenger(RNA): Combatting the threat of misinformation"
Nobel winner Prof. Kati Kariko will be the keynote speaker.
