09/17/2026
When researchers at The University of Toledo discovered that a widely used heartburn medication could help make cancer drugs work for triple-negative breast cancer (TNBC) patients, the finding came the slow way: years of lab work, guided in part by computational modeling rather than artificial intelligence (AI).
Now, a new AI-Driven and Structure-Based Drug Discovery Core, within UToledo’s Northwest Ohio Cancer Research Institute, is working to compress that kind of timeline, helping UToledo scientists identify promising drug candidates faster and with greater precision than traditional methods allow.
Read more in UToledo News: https://buff.ly/QTIjZ6Q