معرفی
Samah Fodeh is an Associate Professor in the Department of Emergency Medicine at Yale School of Medicine, with a secondary appointment in Biostatistics and affiliation with the VA Connecticut Healthcare System. Her research focuses on leveraging AI and machine learning to improve patient-centered care, particularly in healthcare communication, opioid addiction, HIV outcomes, and pandemic response. She leads the Fodeh Lab and collaborates on NIH-funded projects like the Bridge2AI Program.
Education: PhD in Biomedical Informatics from Michigan State University (2010).
Research Interests: Her work integrates AI techniques to analyze patient-generated and clinical data, including social media and electronic health records. Key areas include detecting patient preferences, improving pain care quality, and addressing public health crises like opioid misuse and suicide risk through Twitter-based analyses. She also develops predictive models for fall risks in aging populations with HIV.
Publications: Over 39 peer-reviewed articles, emphasizing AI-driven solutions in healthcare. Recent work includes risk models for HIV patients, opioid misuse detection on social media, and pandemic-related sentiment analysis.
Labs/Teams: Director of the Fodeh Lab, part of Yale’s Data Mining and Health Informatics initiatives. Collaborates with interdisciplinary teams at the Yale School of Public Health and computational biology programs.