Biomedical data disadvantage is a health risk factor for most of the world’s population.

AI greatly empowers precision medicine but simultaneously opens up a major pathway for this risk factor to exert its effects.

AI-powered precision medicine is set to be less precise for the data-disadvantaged populations, producing new health disparities.

The new health disparities can impact any disease where data inequality exists; their negative impacts would be broad.

Transfer learning can reduce the negative impacts of data inequality, thereby mitigating the health disparities arising from data inequality.