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AI-driven chemotoxicity prediction in colorectal cancer: impact of race, SDOH, and biological aging

Abstract Background Patients with colorectal cancer (CRC) often experience chemotoxicity that impacts treatment adherence, survival, and quality of life. Early screening for chemotoxicity risk is vital, yet comprehensive predictive models are lacking. The objective of this study was to develop effec...

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Principais autores: Claire Han, Christin Burd, Jesse Plascak, Fode Tounkara, Ashley Rosko, Anne Noonan, Alai Tan, Diane Von Ah, Xia Ning
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2025-10-01
coleção:BMC Cancer
Assuntos:
Colorectal cancer
Chemotoxicity
Artificial intelligence
Machine learning
Prediction
Risk factors
Acesso em linha:https://doi.org/10.1186/s12885-025-14831-4
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