New USF study explores whether AI can accurately predict immune response

Researchers at the University of South Florida are exploring how artificial intelligence (AI) can impact the future of cancer treatment, vaccine development, and drug discovery.
A study in Nature Machine Intelligence evaluates if AI systems can accurately predict how the human immune system responds to threats like viruses, tumours, and harmful proteins.
The focus of the research is on an AI model known as PanPep, which predicts T cell recognition and binding to antigens, a crucial step in the body’s defence mechanisms.
AI tools like PanPep aim to accelerate the search for new therapies by simulating parts of cancer screening and treatment development on computers, potentially shortening timelines from years to days.
While AI holds great promise, the researchers emphasize that AI systems require extensive real-world testing and human oversight before they can be confidently used in clinical settings.