DELPHI Project Foretells Future of Personalized Population Health

NSF awards $2 million over four years to UC San Diego computer scientists and physicians

Imagine a new type of healthcare app that does it all – it helps you understand your current health status, assists you in making changes in your life to improve your health, and takes into account the perspective of your entire life history, others in your age group–and perhaps even your neighborhood– who share similar characteristics.

That’s the vision put forward by a team of physicians and computer scientists at the University of California, San Diego who are collaborating on a new digital resource that would take advantage of advances in databases, cyberinfrastructure and machine learning to usher in a new era of health and health care…. Read the full story from the UCSD Newsroom


Dr. Lucila Ohno-MachadoLucila Ohno-Machado, MD, PhD, FACMI, is an investigator on the project, whose title is “Data E-platform Leveraged for Patient Empowerment and Population Health Improvement (DELPHI).”

Dr. Ohno-Machado is professor of medicine and founding chief of the Division of Biomedical Informatics. She directs, among other projects, another UCSD biomedical cyberinfrastructure, the Integrating Data for Analysis, Anonymizing and Sharing (iDASH) project. IDASH is a National Center for Biomedical Computing under the auspices of the NIH Roadmap for Bioinformatics and Computational Biology. Under AHRQ funding, she directs the related project Scalable National Network for Effectiveness Research (SCANNER).

Dr. Ohno-Machado’s research specialty is predictive modeling with an emphasis on calibration methods that combine phenotype and genotype/gene expression data for personalized medicine.

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