OMICS A Journal of Integrative Biology, Год журнала: 2024, Номер unknown
Опубликована: Окт. 22, 2024
Lung cancer remains one of the leading causes cancer-related deaths globally, with its complexity driven by intricate and intertwined genetic, epigenetic, environmental factors. Despite advances in genomics, transcriptomics, proteomics, understanding phenotypic diversity lung has lagged behind. Next-generation phenomics, which integrates high-throughput data multiomics approaches digital technologies such as artificial intelligence (AI), offers a transformative strategy for unraveling cancer. This approach leverages advanced imaging, single-cell technologies, AI to capture dynamic variations at cellular, tissue, whole organism levels ways resolved temporal spatial contexts. By mapping spatially temporally profiles onto molecular alterations, next-generation phenomics provides deeper insights into tumor microenvironment, heterogeneity, drug efficacy, safety, resistance mechanisms. Furthermore, integrating genomic proteomic networks allows identification novel biomarkers therapeutic targets informed biological structure function, fostering precision medicine treatment. expert review examines places context current potential redefine diagnosis, prognosis, therapy. It highlights emerging role machine learning analyzing complex datasets, enabling personalized interventions. Ultimately, holds promise bridging gap between alterations clinical population health outcomes, providing holistic biology that could revolutionize management improve patient survival rates.
Язык: Английский