Precision Medicine

Precision medicine aims to tailor medical treatments to individual patients based on their unique characteristics, primarily using data-driven approaches to improve diagnosis, prognosis, and treatment efficacy. Current research heavily utilizes machine learning, including deep learning and Bayesian methods, to analyze complex datasets like genomic data, electronic health records, and medical images, often incorporating causal inference techniques to understand treatment effects. This personalized approach holds significant promise for improving patient outcomes across various diseases, particularly in areas like rare cancers and mental health disorders, by optimizing treatment strategies and minimizing adverse effects.