The IHC will apply AI to bio-monitoring wearable, medical, and sensor data to find hidden patterns and relationships. Applications include identifying diseases, selecting patients for clinical trials, personalizing treatment, predicting outcomes, and more.

The IHC will focus on translational bioinformatics research to make predictions, develop diagnostic tools, and identify drug targets. The IHC will leverage its computing resources to analyze and interpret large amounts of biological data such as gene sequences, transcriptomics, and structural genomics.

The IHC will develop virtual and augmented reality tools for medical education, including scenarios such as clinical encounters and patient interviews, planned surgeries and medical procedures, immersive analytics for health care, and education and communication.

The IHC will use machine learning algorithms to study emerging disease and risk stratification, for such health issues as the risk factors for developing early kidney disease, early predictors of risk in pregnancy, and the development of addiction or the potential for drug overdose.

Improving the health and well-being of all the residents of Maryland is at the core of UM-IHC’s mission, vision, and goals. Real-world data, advanced computational methods, community engagement, and interdisciplinary partnerships drive precision medicine at population scale, allowing for the classification of high-risk subpopulations, identification of the drivers of health and disease, and the development, testing, implementation, and dissemination of tailored interventions and care delivery models that meet patient and community needs.

The IHC will identify novel therapeutic targets and apply data science to chemical assay results and biospecimen data. The IHC will also develop real-time algorithms, software systems and toolkits that ingest, filter, visualize, and analyze multiple interacting data streams.