Supervisor
David McQuaid
Programme
HDIP in Data Analytics for Business
Subject
Computer Science
Department
Computer Science
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.
Date of Award
Winter 2023
Full Publication Date
November 2023
Access Rights
open access
Document Type
Poster
Resource Type
other
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