Artificial Intelligence in Pathomics and Genomics of Renal Cell Carcinoma. Review uri icon

Overview

abstract

  • The 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.

publication date

  • July 21, 2023

Research

keywords

  • Carcinoma, Renal Cell
  • Kidney Neoplasms

Identity

Scopus Document Identifier

  • 85165647682

Digital Object Identifier (DOI)

  • 10.1016/j.ucl.2023.06.002

PubMed ID

  • 37945102

Additional Document Info

volume

  • 51

issue

  • 1