Utilizing Machine Learning and Artificial Intelligence to Repurpose and Optimize Drugs Against the EGFR Cancer Causing Protein

Regional Winner
Regional Winner
Submitted by
Ali Usman
Year

2024

Region

Alberta

Project description

A machine learning and AI algorithm that ranks 9,508 potential drug candidates to help find a new anticancer drug that can slow down the growth of cancer cells. The AI algorithm also generates new drug candidates with optimized drug-like properties like weight and solubility to ensure these potential drugs can be taken safely by mouth.