🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Mark your calendars for WACV 2023 in Waikoloa, Hawaii - #KATY partner University of St Andrews will present a paper there. Check out the preprint: arxiv.org/abs/2210.06909 More information on the event: wacv2023.thecvf.com #AI #fightcancer #TCELL

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

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

🧬 Seemingly every few weeks there’s a new pathology feature extractor / foundation model! 🚀 To keep up, I compiled a comprehensive list of such models with key details like SSL pretraining methods, architectures, dataset sizes, and more. Check it out: github.com/georg-wolflein…

New preprint from katherlab: large language models for end-to-end clincial trial matching. Our system parses study protocols and patient records, and matches them. We evaluate thoroughly against human experts and find >90% correspondence. Led by Dyke Ferber 🤩

Finally out in Nature Protocols : our group's workflows for end to end computational pathology. Compatible with UNI and other foundation models. Led by Omar S.M. El Nahhas from katherlab journal link: nature.com/articles/s4159… full text: rdcu.be/dT35l

Happy to share our new paper from katherlab , led by Dyke Ferber , which was just published in Nature Communications. In-context learning enables general-purpose vision language models to perform well on medical image analysis tasks. We don't need to train a neural network at all - just

Looking for Postdocs and Research software engineers 😊! Are you an AI researcher (CV / NLP / agents) with a fascination for oncology? Please reach out! We are based in 🇪🇺. Salaries are ok, cost of living is low, and we don't live in a dystopian totalitarian system 🤞

You can now use our single cell knowledge base Cytopus 🐙 github.com/wallet-maker/c… with AI thanks to this neat tool:

So proud of our new preprint "toolmaker" by Georg Wölflein et al.: AI Agents building AI agents.

people underestimate the mental cost of outsourcing code to Copilot/Cursor it's a mortgage: quick progress now at the expense of not understanding your own codebase it may be that beyond simple line autocomplete, it's more efficient in the long run to do everything yourself

We have open Postdoc / PhD student positions in computational pathology and agentic AI, based in 🇩🇪🇪🇺 Ideally with a CS background, but we do 🧡 biologists with self-taught Python and ML skills

We are looking to hire a PostDoc at katherlab to develop AI multimodal foundation models for uncovering cancer metastasis mechanisms and identifying targetable biomarkers for patient treatment. 🩻🔬🧬 If you’re interested, please apply here: bit.ly/42nY62u

Congrats to my #PhD student, Georg Wölflein, for having his paper "LLM Agents Making Agent Tools" accepted to ACL (ACL 2025), the top #conference on comp #linguistics. It's a very cool paper - do read it! arxiv.org/abs/2502.11705 #AI #LLMs #AgenticAI #ArtificialIntelligence

Very happy to share our recent article in Nature Cancer on AI Agents for Decision Making in Cancer :) Jakob Nikolas Kather