Title
Pronostic of Colo-Rectal Cancer (CRC) Using Machine Learning Models on Organoids Derived of Patient
Date of Award
2023
Document Type
Poster
Programme
HDIP in Data Analytics for Business
Supervisor
David McQuaid
Abstract
Colorectal Cancer (CRC) is a globally prevalent and deadly carcinoma, necessitating advanced treatment approaches. Despite ongoing advancements, the mortality rate remains high. Various biological models, including animal studies, cell lines, and the emerging organoid model, contribute to understanding molecular mechanisms. Organoids, 3D cultures derived from tumor epithelial cells, offer advantages such as enhanced diversity, genetic modification, and extended culture capabilities. Recent applications of machine learning (ML) in predicting CRC treatment responses using organoids and tissue data indicate a promising avenue for advancing personalized therapies.
Recommended Citation
Leiva Acevedo, Claudia Andrea, "Pronostic of Colo-Rectal Cancer (CRC) Using Machine Learning Models on Organoids Derived of Patient" (2023). ICT. 47.
https://arc.cct.ie/ict/47