Practical insights from building AI systems that work in the real world. Strategy, implementation, and lessons learned from the field.
Healthcare workers aren't unsure of what to do — they're struggling with when to do it and how to fit it all in. AI should help them decide how and when to do what they already know.
Lab data is going to be key in the next phase of HIV epidemic management. Leveraging national-scale surveillance data to understand transmission patterns and identify high-risk infants before they become positive.
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