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The AI revolution in health care
Artificial intelligence breakthroughs are ushering in new ways to individualize patient recommendations, augment diagnoses and aid in clinical decisions. Join Washington Post Live for conversations with top medical leaders from Stanford, UCSF, and UC Berkeley about how AI could transform the patient journey of the future and ways to improve transparency and trust in this new era of medicine.
California has dramatically improved its air quality, but racial disparities persist
UC Berkeley Read More
Digital Health Platform Sparks Rise in Contraceptive Use Among Sexually Active Rwandan Teens, Study by UC Berkeley and YLabs Finds
YLabs, UC Berkeley Read More
Berkeley Public Health partners with Gilead for new research and executive education initiative
UC Berkeley, Gilead Sciences Read More
How Reddit helps one expert understand post-Roe abortion access in America
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First study to measure toxic metals in tampons shows arsenic and lead, among other contaminants
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Empowering Frontline Health Workers with AI: Navigating Pitfalls and Possibilities
On June 25, the Bay Area Global Health Alliance hosted its third virtual convening on AI and Global Health, bringing together leaders from diverse sectors to explore how artificial intelligence has the potential to support these essential workers and facilitate care at the last mile.
Critical Condition: Violence Against Health Care in Conflict
Global Health Council, UC Berkeley Read More
3rd Annual Bay Area Tuberculosis Science (BATS) Symposium
Join the UC Tuberculosis Research Advancement Center (UC TRAC) for the 3rd Annual Bay Area Tuberculosis Science (BATS) Symposium, co-sponsored by Alliance members UCSF Center for Tuberculosis and UC Berkeley Center for Emerging and Neglected Diseases. BATS brings together TB investigators at UCSF, UC Berkeley, UC Davis, Stanford University and the SF Department of Public Health to highlight established and early-stage investigators in the UC TRAC community with the intention to build community and foster collaboration.
How to Cover Planetary Health
Join Mongabay for their Mongabay Webinar Series: Planetary Health on June 13th @ 9PM UTC (2PM PST). This Mongabay webinar will focus on the planetary health framework, and how journalists can better communicate stories related to global or ecological change and the human health impacts of these changes. Panelists for this webinar include Alliance members Sam Myers, the faculty director of the Planetary Health Alliance, and Mark Schapiro, a journalist and lecturer at the UC Berkeley Graduate School of Journalism.
How air pollution is causing girls to get their first periods earlier
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UC Berkeley public health students launch Black Lactation Matters
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What Does It Take to Prevent and Address Workplace Violence?
According to the Occupational Safety and Health Administration, workplace violence is the third leading cause of fatal occupational injuries in the United States. Starting on July 1, 2024, employers in California need to implement an effective workplace violence...
Empowering Frontline Health Workers with AI: Navigating Pitfalls and Possibilities
Join the Bay Area Global Health Alliance at 8:30-10 am PT, June 25 for a panel discussion exploring the complexities and opportunities of using AI to support frontline workers. This discussion, the third in a four-part series sponsored by Pfizer, will be moderated by UC Berkeley lecturer and Alliance board chair Colin Boyle and will feature Elina Urli Hodges (Duke Global Health Innovation Center), Daphne Ngunjiri (Access Afya, Kenya), Andrew Ddembe (MobiKlinic, Uganda), Raghav Minocha (Simprints), and Enric Jané (Causal Foundry).
New study differentiates perinatal risks of COVID-19 infection from pandemic era societal changes
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Surgery in a hospital doesn’t necessarily lead to better outcomes than surgery in a surgical center
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Rosemarie de la Rosa tracks how childhood exposure to environmental pollutants and social stress has lifelong affect
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New study shows that many California pharmacists are willing—but unable—to prescribe medication abortion
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Three fixes for AI’s bias problem
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