Author Interviews, CDC, Infections, JAMA / 27.04.2024
UCI Develops AI Model To Determine Best Antibiotic Match for an Individual Patient
MedicalResearch.com Interview with:
Shruti K. Gohil, MD
Assistant Professor, Infectious Diseases, Department of Medicine
Associate Medical Director, Epidemiology & Infection Prevention, Infectious Diseases
UCI School of Medicine
MedicalResearch.com: What is the background for this study?
- Antibiotic resistance, which occurs when germs like bacteria and fungi mutate to defeat the drugs designed to kill them, is a major public health threat.
- Data show that 40-50% of patients hospitalized with pneumonia receive broad spectrum antibiotics when they do not need them.
- Helping clinicians tailor antibiotic prescriptions to individual patients can improve patient outcomes by preserving healthy bacteria in the body and reducing the risk of future antibiotic resistance.