🧬💥 Do the genetics that make you develop a disease also help you survive it? Not much. Our new study in Nature Genetics including 9 disease and 7 biobanks shows: • Susceptibility variants ≠ survival • PRSs for onset weak at predicting progression • Lifespan PRS predicts survival better

A groundbreaking paper published @nature.com today—the first large health language model—predicts >1,000 diseases for a person and when. Implications here: erictopol.substack.com/p/dawn-of-a-...

Are you interested in pushing the limits of what population health "foundation model" could be used for? Would you like to study privacy and fairness of generative models that are trained on sensitive health data? Or combine this with your own ideas? Two weeks left to apply to this PhD position 👇

New blog post fresh from the press! 🗞️ Link here: open.substack.com/pub/healthda...

One of the biggest culture shocks for me in Norway is the pervasiveness of artificial sweeteners in food/drink products. Instituted as a well-meaning public health intervention and incentivized by sugar tax, I worry about their widespread use in individuals without metabolic diagnoses.

I am hiring! 🎓 We offer a fully funded PhD student position to work on exciting machine learning projects utilizing rich, multimodal real-life health data, based at @fimm-uh.bsky.social in Helsinki, Finland, the happiest country in the world 🇫🇮 jobs.helsinki.fi/job/Helsinki... Feel free to DM me!

New @natgenet.nature.com study led by @tuomohartonen.bsky.social & @detroiki.bsky.social from FIMM explores how to better predict disease risk by combining information from electronic health records (phenotype risk scores) and genetics using 3 large biobank-based studies. Congratulations!

Excited to see my first paper out in Nature Genetics! 🎉 We compared EHR-based models and polygenic scores for disease prediction across >845K participants in 3 biobank-based studies, as part of the INTERVENE consortium. Grateful to all collaborators who made this possible!