June 2013 in “The mental health clinician” Large data can lead to new medical discoveries and personalized medicine.
2 citations
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November 2025 in “Briefings in Bioinformatics” Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.
April 2026 in “Journal of Pharmaceutical and BioTech Industry”
8 citations
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August 2020 in “PLOS Computational Biology” A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
March 2024 in “Research Square (Research Square)” Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.