Intersectional approaches in precision medicine
A session of the Pacific Symposium of Bioinformatics. Big Island of Hawaii, January 4-8, 2025
The Overcoming health disparities: intersectional approaches in precision medicine session of PSB 2025 seeks to advance computations methods and data science approaches to overcome disparities in precision medicine and public health by addressing racial, ethnic, and gender disparities across biomedical research, patient, provider, and health system levels, which are influenced by a mix of social, psychosocial, lifestyle, environmental, and biological factors. This year's emphasis will include intersectional research approaches that examine how various social identities and categories—like race, gender, class, sexuality, age, ability, and ethnicity—interact to shape individual experiences in healthcare and systemic inequalities. Emphasizing the role of 'Big Data' and the Electronic Health Record, the session will discuss challenges in computational approaches to intersectionality, particularly the capture and analysis of Social Determinants of Health (SDOH) and environmental risk factors. Strategies being developed to address these challenges include enhanced data collection through large population-based cohorts, multi-pronged approaches within large EHR populations, and advanced geocoding to assess environmental impacts in conjunction with clinical data. These efforts are essential to overcoming existing limitations in capturing complex and dynamic information such as transgender health issues, where traditional data collection methods fall short.