‘human-centered AI Approaches’
NLM Lovelace Lecture To Feature Elhadad, Oct. 11
Dr. Noémie Elhadad will present “Human-Centered AI Approaches for Individualized Self-Management Regimens,” the NLM Ada Lovelace Lecture on Tuesday, Oct. 11 from 3 to 4 p.m. ET.
Personal health informatics solutions have been proposed to support self-management, to scaffold problem solving for individuals, and to promote experimentation that help identify potential triggers of disease flares across a range of health conditions. In many chronic diseases however, there is strong evidence of person-to-person variation in treatment responses and associated symptoms. In addition, there are often no predetermined policy guidelines for self-management and, if there are, individuals are left with the burden of translating them into their day-to-day lives.
Elhadad will discuss the challenges and research directions for augmenting personal health informatics systems with AI-driven recommendations for self-management strategies.
She is an associate professor of biomedical informatics, affiliated with Computer Science and the Data Science Institute at Columbia University. She serves as vice chair for research and graduate program director for the department of biomedical informatics. She leads Even, the Data-Powered Women’s Health Research Initiative at Columbia University as well as the Citizen Endo project, which advances research in endometriosis through citizen science.
Elhadad’s research interests are at the intersection of machine learning, natural language processing, medicine and technology. She investigates ways in which observational clinical data (e.g., electronic health records) and patient-generated data (e.g., online health community discussions, mobile health data) can enhance access to relevant information for clinicians, patients and researchers and can ultimately impact care and health of patients.
The talk will be broadcast live and archived at https://videocast.nih.gov/watch=45956.
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