AI-Driven Precision Medicine: Predictive Modelling for Personalized Care Pathways

Abstract

Precision medicine is transforming healthcare by tailoring treatments to the unique genetic, phenotypic, and lifestyle characteristics of patients. Artificial Intelligence (AI), particularly machine learning (ML) and deep learning (DL), has emerged as a crucial enabler of predictive modelling in precision medicine, facilitating the development of personalised care pathways. This paper reviews state-of-the-art approaches in AI-driven predictive modelling, discusses challenges, and proposes a framework for integrating multi-omics data, clinical records, and real-time patient monitoring to optimise individual treatment outcomes. Simulation studies and case examples demonstrate AI’s potential to predict disease progression, optimise drug regimens, and reduce healthcare costs.