Overcoming limitations in current measures of drug response may enable AI-driven precision oncology.
NPJ Precis Oncol
; 8(1): 95, 2024 Apr 24.
Article
em En
| MEDLINE
| ID: mdl-38658785
ABSTRACT
Machine learning (ML) models of drug sensitivity prediction are becoming increasingly popular in precision oncology. Here, we identify a fundamental limitation in standard measures of drug sensitivity that hinders the development of personalized prediction models - they focus on absolute effects but do not capture relative differences between cancer subtypes. Our work suggests that using z-scored drug response measures mitigates these limitations and leads to meaningful predictions, opening the door for sophisticated ML precision oncology models.
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MEDLINE
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En
Ano de publicação:
2024
Tipo de documento:
Article