Making Sense of Unstructured Data in Medicine
Nigam Shah - Associate Professor of Medicine (Biomedical Informatics Research) and of Biomedical Data Science
Bio-X Affiliated Faculty
Dr. Shah's lab develops methods to annotate, index and analyze large unstructured datasets for enabling use cases of the learning health system.
Research News
Artificial intelligence in medicine: predicting patient outcomes and beyond
May 8, 2018 - Stanford Medicine Scope
Stanford Bio-X affiliated faculty member Nigam Shah discusses a new study in which a machine learning system...
Researchers develop technique for assessing, reducing risk of future stroke
June 28, 2017 - Stanford Medicine News Center
Using health records, Stanford Bio-X affiliate Nigam Shah's group developed an algorithm for scoring...
Study reveals drug interactions that may reduce mortality in breast cancer patients
December 9, 2016 - Stanford Medicine News Center
Bio-X affiliates Nigam Shah and Trevor Hastie found that certain drug combinations were associated...