New horizons at the interface of artificial intelligence and translational cancer research by Josephine Yates & Eliezer M. Van Allen instant download

New horizons at the interface of artificial intelligence and translational cancer research by Josephine Yates & Eliezer M. Van Allen instant download

Artificial intelligence (AI) is increasingly being utilized in cancer research as a computational strategy foranalyzing multiomics datasets. Advances in single-cell and spatial profiling technologies have contributedsignificantly to our understanding of tumor biology, and AI methodologies are now being applied to accelerate translational efforts, including target discovery, biomarker identification, patient stratification, and therapeutic response prediction. Despite these advancements, the integration of AI into clinical workflows remains limited, presenting both challenges and opportunities. This review discusses AI applications inmultiomics analysis and translational oncology, emphasizing their role in advancing biological discoveriesand informing clinical decision-making. Key areas of focus include cellular heterogeneity, tumor microenvironment interactions, and AI-aided diagnostics. Challenges such as reproducibility, interpretability of AImodels, and clinical integration are explored, with attention to strategies for addressing these hurdles.Together, these developments underscore the potential of AI and multiomics to enhance precision oncologyand contribute to advancements in cancer care.