Cui Lab

Artificial Intelligence for Equitable Precision Medicine

  • Biomedical data-disadvantage is a health risk factor for the vast majority of the world’s population.

  • AI greatly empowers precision medicine, but in the meantime, opens up a major pathway for this risk factor to assert its effects.

  • AI-powered precision medicine is set to be less precise for the data-disadvantaged populations, which will produce 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 mitigates the health disparities arising from data inequality.