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Eliminating bias in health data science
It’s time for a renewed commitment to fairness, transparency and equity in data, big data and the algorithms for statistical or artificial intelligence (AI) models
A call for more complete race and ethnicity health data for COVID-19 response
Reported race and ethnicity health data is incomplete, with only 40 out of 50 states including this ...
Examining health disparities in precision medicine
There should be diversity in voices and experience that come to the table to promote fairness and minimize bias for the future of precision medicine and healthcare.
