Precision medicine and precision public health rely on the premise that determinants of disease incidence and differences in response to interventions can be identified and their biology well enough understood that applications to reduce risk of disease and improve treatment can be developed. However, there are well-documented racial and ethnic disparities throughout health care at the patient, provider, and health care system levels. These disparities are driven by a complex interplay among social, psychosocial, lifestyle, environmental, health system, and biological determinants of health. As the minority populations within the United States grow to record numbers, and precision medicine is beginning to be deployed worldwide, it is increasingly important to invest in efforts to characterize, understand, and end racial and ethnic disparities in health care. New computational and statistical methods are needed to assess, counteract, and overcome health disparities in healthcare. This session of the Pacific Symposium on Biocomputing aims to highlight new analyses, methods, algorithms or datasets that can be applied across the continuum from research to translation to overcome disparities in precision medicine.