An In Silico, Medical Record-based Model for Understanding the INitiation of Autoimmune Events (IMMUNE)

Project: Research project

Description

More than 80% of cancer patients who undergo immune checkpoint inhibitor (ICI) therapy experience immune related adverse events, including autoimmunity, following treatment. The overarching goal of this proposal is to test the feasibility and effectiveness of using a physician-validated cohort of cancer patients combined with data from electronic health records (EHRs), and with machine learning strategies as a platform for understanding the mechanisms of human autoimmune disease. The developed model could significantly accelerate precision medicine approaches for employing ICI therapy that minimize the potential autoimmune disease based on personal genetic, environmental and social information.
StatusActive
Effective start/end date9/17/198/31/20

Funding

  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (1R61AR076824-01)

Fingerprint

Computer Simulation
Medical Records
Autoimmune Diseases
Precision Medicine
Electronic Health Records
Autoimmunity
Neoplasms
Therapeutics
Physicians
Machine Learning