Nima Aghaeepour

Nima Aghaeepour

@nnimaa.bsky.social

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

36 followers32 following5 posts

Nima Aghaeepour reposted

Science Magazine
@science.org

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: https://scim.ag/3ZtelZO

scim.agQuantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learningNewborn screen metabolites encapsulate the risk for adverse outcomes of prematurity through a deep learning–based metabolic health index.
Nima Aghaeepour
@nnimaa.bsky.social

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.eduAI can help doctors give intravenous nutrition to preemies, Stanford Medicine study findsAn 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.
lorenzorighetto.bsky.social@lorenzorighetto.bsky.social

An AI model defines a data-driven set of Total Parenteral Nutrition compositions to assist clinicians in personalized treatment of neonates in intensive care, with validation from large external cohorts and a blinded reader study www.nature.com/articles/s41...

nature.comAI-guided precision parenteral nutrition for neonatal intensive care units - Nature MedicineAn artificial intelligence model defines a data-driven set of total parenteral nutrition compositions to assist clinicians in personalized treatment of neonates in intensive care and is able to adapt ...
Nima Aghaeepour
@nnimaa.bsky.social

In this particular example, the AI model analyzed ~10 years worth of parenteral nutrition data and learned how to do the entire process automatically, increasing safety and reducing cost. Stay tuned for more exciting news about our next steps!

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