ARTIFICIAL INTELLIGENCE SOFTWARE FOR PREDICTING DISEASE PROGRESSION AND SUPPORTING PRECISION MEDICINE PROGRAMS

Abstract

Artificial intelligence software supports disease progression prediction and precision medicine by analyzing electronic health records, laboratory results, medical images, genetic information, lifestyle factors, and treatment history. Machine learning models can identify patterns linked to worsening disease, future complications, and treatment response. The system helps clinicians classify patient risk, select suitable therapies, and plan personalized follow-up strategies. Predictive dashboards can highlight patients requiring closer monitoring or early intervention. Integration with hospital information systems improves access to updated clinical data and supports coordinated care. Explainable predictions, clinical validation, data encryption, role-based access, and human oversight are essential for safe implementation. Overall, the software can improve treatment accuracy, support preventive action, and strengthen personalized healthcare delivery.