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Case Study: Preventing loss to follow-up for ART clients in Mozambique and Nigeria
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Google’s Healthcare Strategy and the Role of AI
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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.
Norway invests in improving global regulation of Artificial Intelligence use in health care
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Cisco NGO partner Simprints to advance ethical, inclusive AI for face recognition biometrics
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Simprints launch Impact Review 2023
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ALL for Health 2024
Join Nivi for their first workshop on applying large language models (LLMs) in low- and middle income countries (LMICs) for healthcare solutions. The goal of this workshop is to bring together researchers and practitioners from diverse disciplinary backgrounds to...
AI for Science & Health: Ensuring the Equitable Impact of Artificial Intelligence in Healthcare Settings and Supporting Access at the Last Mile
During the Brazil G20 3rd Health Working Group Meeting, PATH and partners are hosting a co-branded event to galvanize discussions around localization of digital innovation, and how AI as an emerging technology can support a shift in the center of gravity for product...
BCG Announces GenAI Collaboration With Merck
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AI for Good Global Summit
Join the International Telecommunication Union (ITU) for the AI for Good Global Summit in Geneva, Switzerland. The AI for Good Global Summit is the leading action-oriented United Nations platform promoting AI to advance health, climate, gender, inclusive prosperity, sustainable infrastructure, and other global development priorities.
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).
Top 3 Takeaways from RAPS Euro Convergence 2024
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Building Bridges, Uniting for Impact: 2024 Annual Meeting
“Global health really is a team effort,” said Colin Boyle, Alliance board chair and Lecturer at UC Berkeley Haas School of Business, opening the Bay Area Global Health Alliance’s 4th Annual Meeting, where multisectoral members convened on May 21 to discuss bridging gaps and enhancing collaborative efforts across various sectors to tackle pressing health issues worldwide.
Advancing medical AI with Med-Gemini
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The Trinity Challenge on Antimicrobial Resistance – eight finalists selected for up to £1 million prize
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Dr. Suvrit Sra awarded Humboldt Prize for AI
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Navigating Imperfect Data: Challenges and Solutions for AI-Powered Healthcare in Low-Resource Settings
On Thursday, May 9 the Bay Area Global Health Alliance hosted their second convening of the 2024 Discussion Series on AI and Global Health. The convening offered insights from thought leaders, innovators, and changemakers who are navigating the potential of AI to power a dynamic shift to prioritize service delivery over data collection.
RAISE Health Symposium 2024
Join Alliance member Stanford for RAISE Health Symposium 2024 which will explore AI’s potential to transform medicine and spotlight critical challenges to ensuring that AI is developed safely, responsibly, and for the benefit of society. This symposium will host an essential discussion about the role of artificial intelligence in our health and will provide opportunities to hear from world-class experts and gain insights about AI’s next chapter and strategies for navigating the responsible advancement of AI in biomedicine.
How AI can help identify tuberculosis (VIDEO)
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