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Nima Aghaeepour

@nnimaa.bsky.social
37 followers 32 following 5 posts

Professor at Stanford, working on AI and Medicine. Also an airplane and wingsuit pilot, former StarCraft2 Grandmaster, and recent girldad.

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Reposted by Nima Aghaeepour
Science Magazine @science.org · 22/01/2026
By applying #DeepLearning methods to routine blood spot samples from premature infants, researchers develop a metabolic health score that can stratify groups at risk of severe diseases of #prematurity. Learn more in #ScienceTranslationalMedicine: scim.ag/3ZtelZO
scim.ag
Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning
Newborn screen metabolites encapsulate the risk for adverse outcomes of prematurity through a deep learning–based metabolic health index.
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Nima Aghaeepour @nnimaa.bsky.social · 25/03/2025
Excited to share our new paper in @natmedicine.bsky.social! Prematurity is the #1 cause of death in kids under 5. We show that AI can do more than predict outcomes — it can guide critical treatment decisions to improve outcomes. Press release: med.stanford.edu/news/all-new...
med.stanford.edu
AI can help doctors give intravenous nutrition to preemies, Stanford Medicine study finds
An algorithm that learned from tens of thousands of nutrition prescriptions for premature babies could reduce medical errors and better identify what nutrients the smallest patients need.
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Nima Aghaeepour @nnimaa.bsky.social · 03/03/2025
We are featured on the cover of Nature Machine Intelligence! Article: www.nature.com/articles/s42... Editorial: www.nature.com/articles/s42...
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Nima Aghaeepour @nnimaa.bsky.social · 16/01/2025
Collecting #omics data is expensive, but #EHR data is available for large patient cohorts for free! In our latest @natmachintell.bsky.social paper, we show how deep learning + EHR data can supercharge omics models. Hard work by (soon to be Dr.) Samson Mataraso: www.nature.com/articles/s42...
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