Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 16

Published: April 30, 2025

Multiomics data integration approaches offer a comprehensive functional understanding of biological systems, with significant applications in disease therapeutics. However, the quantitative multiomics presents complex challenge, requiring highly specialized computational methods. By providing deep insights into disease-associated molecular mechanisms, facilitates precision medicine by accounting for individual omics profiles, enabling early detection and prevention, aiding biomarker discovery diagnosis, prognosis, treatment monitoring, identifying targets innovative drug development or repurposing existing therapies. AI-driven bioinformatics plays crucial role computing scores to prioritize available drugs, assisting clinicians selecting optimal treatments. This review will explain potential AI It highlight challenges diverse clinical workflows involving cancer genomics, addressing ethical privacy concerns related oncology. The scope this text is broad yet focused, readers overview how AI-powered integrative are transforming Understanding Genomics, it explore strategies selection, genome profiling tumor clonality analysis application prioritization tools, technical, ethical, practical hurdles deploying genomics tools.

Language: Английский