Artificial Intelligence-Assisted Serial Analysis of Clinical Cancer Genomics Data Identifies Changing Treatment Recommendations and Therapeutic Targets.

Catherine G FischerAparna PallavajjalaLiQun JiangValsamo AnagnostouJessica TaoEmily AdamsJames R EshlemanChristopher D GockeMing-Tseh LinElizabeth A Platz Rena R Xian

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2022)

Serial reannotation of tumor sequencing data improved the strength of treatment recommendations (based on level of evidence) in a mixed cancer cohort and showed substantial changes in available therapies and variant classifications. These results suggest a role for repeat analysis of tumor sequencing data in clinical practice, which can be streamlined with AI support.

Keyphrases

artificial intelligence
big data
clinical practice
electronic health record
papillary thyroid
single cell
machine learning
deep learning
squamous cell
genome wide