ADVANCEMENTS IN COMPUTATIONAL BIOLOGY: BRIDGING GENOMICS AND PRECISION MEDICINE

Abstract

Computational biology has seen rapid advancements, particularly in the integration of genomics with precision medicine. The field has become crucial in understanding complex biological systems, developing personalized treatment plans, and improving healthcare outcomes. This article reviews the recent developments in computational biology, focusing on its application to genomics and precision medicine. We discuss the role of bioinformatics tools, algorithms, and models in analyzing genomic data, the use of artificial intelligence (AI) in predictive modeling, and how these advancements are bridging the gap between scientific discovery and clinical application. The article also explores challenges and future directions, emphasizing the need for more integrated and data-driven healthcare solutions.