At ID Week 2025—the world’s premier infectious disease conference—Professor Chien-Chang Lee and his AI research team from NTU Hospital’s Department of Emergency Medicine won the IDSA Abstract Award (Committee Choice Award), ranking first among over 3,000 submissions. Their study, which uses artificial intelligence to predict bacterial antibiotic resistance, marks a major milestone for Taiwan’s medical research on the global stage.
Traditionally, diagnosing bacterial resistance takes 72–96 hours, forcing doctors to prescribe antibiotics based on experience, with an error rate of up to 30%. To address this, Prof. Lee’s team developed an AI-powered method integrating clinical data and mass spectrometry, capable of predicting over 80% of bacterial resistance patterns in real time. The system also recommends optimal antibiotic type, dosage, and formulation—greatly improving treatment precision and patient outcomes.
Prof. Lee expressed his gratitude to his team, highlighting assistant Shu-Yu Tsao and medical student Yu-Chun Pan, who presented the study in the U.S. with full conference sponsorship. He also acknowledged collaborators across NTU Hospital branches and leadership support. “This award belongs not only to our team,” Lee said, “but to Taiwan’s growing strength in clinical AI innovation, demonstrating how data-driven medicine can transform infectious disease management worldwide.”
To see article on QS Gen: https://qs-gen.com/ntu-ai-team-wins-top-award-at-idweek-2025/