Nahid Zeinali, PhD student, health informatics
Tracks symptoms in cancer patients
Hometown: Isfahan, Iran
Faculty mentor: Stephanie Gilbertson White, PhD, APRN-BC, FAAN, associate professor, College of Nursing
Degree program and anticipated graduation date: PhD in health informatics, spring 2025
Nahid Zeinali uses artificial intelligence (AI) to help doctors and other health care providers better understand and track more than 13 different symptom groups in patients with cancer. By analyzing enormous amounts of medical notes and records, she is developing AI models that detect these symptoms automatically, saving time and improving accuracy. This can improve patient care by allowing doctors to make quicker and better-informed treatment decisions. Zeinali’s work aims to make health care more responsive to patient needs, which in turn can improve quality of life for patients living with serious illness.
Zeinali hopes to work at the intersection of AI and health care, applying these techniques to improve patient care, especially in clinical settings. She wants to make a meaningful impact by integrating technology and health care to improve outcomes for patients and caregivers.
Banner location: Downtown—