Artificial Intelligence: Implementing a Vision for Precision Medicine and Health

May 11, 2017 – Studying human diseases is the equivalent of solving a massive and dynamic jigsaw puzzle with pieces that are constantly changing shape. A team involving researchers from the Nutritional Immunology and Molecular Medicine Laboratory (NIMML) at Virginia Tech and the Biomedical and Translational Informatics (BTI) Institute at Geisinger Health System are working together to advance precision medicine by integrating clinical data, artificial intelligence (AI) systems, and advanced machine-learning (ML) methods. In a new study, the collaborative team of experts have developed new computational methods to stratify stroke patients in an emergency setting, paving the way to data-driven triage process with higher fidelity. The rich, longitudinal data warehouse of the Geisinger Health System (GHS) has detailed electronic health records (EHR) of over 3 million active participants. This rich data is one of the major strengths that allowed Geisinger to be selected to participate in the national Precision Medicine Initiative (PMI) Cohort Program with the goal of improving the ability to prevent and treat diseases based on individual differences in lifestyle, environment, and genetics.