The outreach session focused on transforming real health problems into structured machine learning challenges. Using the PowerPoint slides, facilitators explained why treating diseases can be difficult and how data-driven approaches can support better decision-making.
The session emphasized that machine learning tools are designed to support healthcare professionals, not replace them.
Many health challenges persist because large volumes of medical data are difficult to analyze using traditional methods. This outreach highlights how machine learning challenges create opportunities for learning, collaboration, and innovation in healthcare.
Empowering learners to explore health challenges through technology helps build a more innovative and responsive healthcare ecosystem.
The PowerPoint presentation used during this outreach is available for download and can be used for learning, teaching, or health innovation discussions
👉 Download “Using Machine Learning Challenges to Improve Disease Treatment” (PowerPoint)
Download NowWhether you're a volunteer, researcher, partner, or supporter, your skills and contributions can help create meaningful and lasting health impact. By working together, we can ensure that data serves as a tool for equity, resilience, and better health outcomes for all.