📃Don't miss the Comment now ONLINE Nature Cancer on 'How AI agents will change cancer research and oncology' by Aviv Regev, Jakob Nikolas Kather Jakob Nikolas Kather and co-authors 🔗doi.org/10.1038/s43018… featuring into our year-in-review Focus Issue!

promising results of o1-preview for medical reasoning (though still lots of work to figure out how to integrate with the healthcare system)

POV it’s December 25th, 1999 and you’re about to have the best Christmas morning of your entire life

Europe happened to them

This is the most gut-wrenching blog I've read, because it's so real and so close to heart. The author is no longer with us. I'm in tears. AI is not supposed to be 200B weights of stress and pain. It used to be a place of coffee-infused eureka moments, of exciting late-night arxiv

american innovation european innovation

Ich kann es kaum erwarten, bis die Grünen endlich begreifen, wie viel zusätzliche Energie wir in den kommenden Jahren für KI und Krypto brauchen werden. Der darauffolgende Meltdown wird spektakulär. 🍿 Ich hoffe, dass auch die Fundis dann endlich erkennen, dass wir Klimaschutz

2025 is the year of agents. baby steps in that direction:

Don't trust the headline. This 56M… …DOESNT include compute, it's everything else …scattered across many unis, profs, post-docs, phds …who collaborate in theory, but work on their individual papers in reality, cuz that's what's needed to graduate …is unrelated to DeepSeek

Really cool work led by Georg Wölflein at katherlab - An agent to build its own agent tools for healthcare and scientific research 🚢

Super cool new preprint on Ai agents for scientific research from katherlab led by Georg Wölflein , stay tuned for more 🚀🚀🚀

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

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…

An example of why I think current LLMs are enough to change lots of work even if they don’t get better, once we start integrating them with other systems GPT-4 (now obsolete) went from 30% accuracy to 87% accuracy in clinical oncology decisions when given access to medical tools

Autonomous AI agent are coming in big in clinical decisions in oncology. New research just published in Nature. GPT-4 agent solves complex cancer cases with 3x higher accuracy n realistic oncology decisions Beats Llama-3, Mixtral in clinical tool use by 2x to 10x → Compared

Excited to announce MIRIAD — a large-scale dataset of 5,821,948 medical question-answer pairs, each rephrased from passages in the medical literature. Great collab with Qinyue Zheng, Salman Abdullah, Sam Rawal, MD, Cyril Zakka, MD, Sophie Ostmeier, Maximilian Purk, Eduardo Reis, Eric Topol &

A paper in Nature Cancer 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

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

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…