Cancer AI Symposium explores how AI is transforming cancer research, care
The Cancer AI Symposium explored how AI is transforming the way cancer is studied, diagnosed and treated.
The Cancer AI Symposium explored how AI is transforming the way cancer is studied, diagnosed and treated.
The AI pilot grants were supported by the Cancer AI Working Group.
Wei Shao, Ph.D., has dedicated his career to leveraging artificial intelligence to enhance medical imaging.
Researchers led by Kiley Graim, Ph.D., developed a machine-learning tool that uses AI to account for ancestral diversity in genetic data.
On April 29, UF data gathered for the inaugural Cancer Computational Biology Mini-Symposium.
AI developments in chemical biology led by Alberto Perez, Ph.D., could unlock new types of treatments for diseases like cancer.
UF researchers led by cancer research trainee Daniel Stribling evaluated the academic performance of chatbots.
The event provided an enriching opportunity to learn more about AI applications in cancer research, as well as stimulated potential new collaborations.