This project develops an international, tumor board-style digital pathology platform to improve the timeliness and accuracy of cancer diagnosis across low- and middle-income countries. Pathologists at partner institutions on four continents will share cases through a secure image management system, connecting local diagnosticians with a wider community of expertise for education and clinical decision-making. Drawing on strengths in digital pathology, artificial intelligence, human-centered design and health policy, the team builds workflows that are intuitive and adaptable across diverse settings, while embedding equity, data governance and evaluation into the design. The long-term aim is a sustainable, scalable network that reduces disparities in cancer care by expanding access to high-quality pathology where specialists are scarce.