
Stanford TPN AI Paper Wins Top Ten Clinical Research Achievement Award
Summary
CTSA-affiliated researcher's application of artificial intelligence (AI) leads to successful neonatal feeding interventions.
Article
A paper led by Stanford’s Nima Aghaeepour, Ph.D. and published in Nature Medicine has won a Top Ten Clinical Research Achievement Award. The article described how AI was used to develop precise total perinatal nutrition (TPN) formulas for premature newborns. Dr. Aghaeepour's laboratory led the way in utilizing AI technology to the develop the formulas, and the study was conceived and conducted at Stanford Children’s Health’s NICUs.
The Top Ten Clinical Research Achievement Awards honor outstanding achievements in clinical research from across the nation. The competition seeks to identify major advances in the biomedical field resulting from the nation’s investment in health and welfare.
“I am proud of the Stanford team’s dedication to building and testing these tools, and grateful to our colleagues at UCSF who enabled complete independent validation of the model,” said Dr. Aghaeepour. “While this work is still in the research phase, it highlights the potential of data-driven approaches to make care for our most vulnerable patients safer and more proactive.”
The Top Ten are selected based on the degree of innovation and novelty involved in the advancement of science; contribution to the understanding of human disease and/or physiology; and potential impact upon the diagnosis, prevention, and/or treatment of disease.
Dr. Aghaeepour and other winners will be honored in Washington DC on May 11, 2026, at the Clinical Research Forum’s Top Ten Awards ceremony and reception.
Read more about the research and read the paper itself at the links below:
https://med.stanford.edu/spectrum/about-spectrum/news/Stanford-TPN-AI-paper-wins-Top-10-Award.html




