Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma

Urol Clin North Am. 2024 Feb;51(1):47-62. doi: 10.1016/j.ucl.2023.06.002. Epub 2023 Jul 21.ABSTRACTThe integration of artificial intelligence (AI) with histopathology images and gene expression patterns has led to the emergence of the dynamic fields of pathomics and genomics. These fields have revolutionized renal cell carcinoma (RCC) diagnosis and subtyping and improved survival prediction models. Machine learning has identified unique gene patterns across RCC subtypes and grades, providing insights into RCC origins and potential treatments, as targeted therapies. The combination of pathomics and genomics using AI opens new avenues in RCC research, promising future breakthroughs and innovations that patients and physicians can anticipate.PMID:37945102 | DOI:10.1016/j.ucl.2023.06.002

Source: The Urologic Clinics of North America - November 9, 2023 Category: Urology & Nephrology Authors: J Everett Knudsen Joseph M Rich Runzhuo Ma Source Type: research