Noémie Elhadad - Gender differences in disease prevalence and time to diagnosis - IPAM at UCLA
Автор: Institute for Pure & Applied Mathematics (IPAM)
Загружено: 2022-07-25
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Recorded 19 July 2022. Noémie Elhadad of Columbia University presents "Gender differences in disease prevalence and time to diagnosis" at IPAM's Who Counts? Sex and Gender Bias in Data workshop.
Abstract: There are urgent gaps to address to advance the health of women: improving our understanding of women’s specific, accounting for sex differences in disease presentation and treatment response, and mitigating gender disparities in access to care and care delivery. In this talk, I will describe an exploration of gender differences in disease diagnosis and time to diagnosis across 100 conditions and 200 million individuals in the United States.
Learn more online at: http://www.ipam.ucla.edu/programs/wor...
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