Sebastian Foersch
@twittlabs.bsky.social
92 followers 140 following 3 posts
Board-certified Pathologist, Former Member of the Board of Directors of the German Society of Pathology (no medical advice-opinions are my own)
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Reposted by Sebastian Foersch
rwth.bsky.social
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...
Reposted by Sebastian Foersch
ai.nejm.org
NEJM AI @ai.nejm.org · Aug 21
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
Figure 1. Schematic Diagram of MedAgentBench Framework.
Reposted by Sebastian Foersch
erc.europa.eu
📣 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
Reposted by Sebastian Foersch
janclusmann.bsky.social
Thank you for sharing! It was a pleasure working on this, together with @twittlabs.bsky.social , @jnkt.bsky.social and many others...
ai.nejm.org
NEJM AI @ai.nejm.org · Jun 30
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 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.
Reposted by Sebastian Foersch
ai.nejm.org
NEJM AI @ai.nejm.org · Jun 30
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 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.
Reposted by Sebastian Foersch
ai.nejm.org
NEJM AI @ai.nejm.org · Jun 19
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
Figure 3. Misleading Watermarks Lead to a Loss in Accuracy of Tissue-of-Origin Prediction.
Reposted by Sebastian Foersch
janclusmann.bsky.social
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
Reposted by Sebastian Foersch
erictopol.bsky.social
A pie graph worth keeping in mind as the NIH budget plummets jamanetwork.com/journals/jam... for 356 new FDA drugs approved
graph of NIH basisfor new drugs
Reposted by Sebastian Foersch
euacc.bsky.social
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
jnkt.bsky.social
Really disappointed how slowly Europe (especially Germany) is moving these days
Obviously, to compete with US/China on any relevant topic (AI / economy / defense), we need more European integration, joing funding, joint efforts - and much much faster
more resources: eu-acc.com @euacc.bsky.social
Reposted by Sebastian Foersch
jnkt.bsky.social
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.
Reposted by Sebastian Foersch
deniswirtz.bsky.social
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.
twittlabs.bsky.social
Most of you have already seen this, but I still think this is absolutely amazing 🤩🥳🚀 #NEJM #CRC #MSI #Checkpointinhibitor www.nejm.org/doi/full/10....
Two survival curves taken from a scientific article about cancer treatment.
Reposted by Sebastian Foersch
Reposted by Sebastian Foersch
jnkt.bsky.social
Important study for medical LLMs… you don’t need „Med*“ {Llama/GPT/…} … just use the generalist model. It turns out that medical knowledge is just a subset of world knowledge and is less special than we doctors think.
zacharylipton.bsky.social
Medically adapted foundation models (think Med-*) turn out to be more hot air than hot stuff. Correcting for fatal flaws in evaluation, the current crop are no better on balance than generic foundation models, even on the very tasks for which benefits are claimed.
arxiv.org/abs/2411.04118
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
Several recent works seek to develop foundation models specifically for medical applications, adapting general-purpose large language models (LLMs) and vision-language models (VLMs) via continued pret...
arxiv.org