Advancing precision oncology with AI-powered genomic analysis

Frontiers in Pharmacology, Год журнала: 2025, Номер 16

Опубликована: Апрель 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.

Язык: Английский

AI in Orthopedic Research: A Comprehensive Review

Journal of Orthopaedic Research®, Год журнала: 2025, Номер unknown

Опубликована: Май 26, 2025

ABSTRACT Artificial intelligence (AI) is revolutionizing orthopedic research and clinical practice by enhancing diagnostic accuracy, optimizing treatment strategies, streamlining workflows. Recent advances in deep learning have enabled the development of algorithms that detect fractures, grade osteoarthritis, identify subtle pathologies radiographic magnetic resonance images with performance comparable to expert clinicians. These AI‐driven systems reduce missed diagnoses provide objective, reproducible assessments facilitate early intervention personalized planning. Moreover, AI has made significant strides predictive analytics integrating diverse patient data—including gait imaging features—to forecast surgical outcomes, implant survivorship, rehabilitation trajectories. Emerging applications robotics, augmented reality, digital twin technologies, exoskeleton control promise further transform preoperative planning intraoperative guidance. Despite these promising developments, challenges such as data heterogeneity, algorithmic bias, “black box” nature many models—as well issues robust validation—remain. This comprehensive review synthesizes current critically examines limitations, outlines future directions for into musculoskeletal care.

Язык: Английский

Generative artificial intelligence for sustainable development: predictive trend analysis in key sectors using natural language processing

Deleted Journal, Год журнала: 2025, Номер 7(6)

Опубликована: Июнь 4, 2025

Язык: Английский