Abstract A029: Gen-Z AI health access: A decentralized, ethical artificial intelligence platform for global cancer care in remote communities

Abstract Objective: Equitable access to cancer treatment is a fundamental human right, yet millions in marginalized communities, such as the Rohingya and nomadic populations, remain excluded from effective care. Barriers including limited internet, scarce electricity, inadequate education, financial constraints, and lack of healthcare infrastructure perpetuate this disparity. Methods: We propose the Gen-Z AI Health Access model, a decentralized, offline platform that delivers next-generation AI-driven cancer care at no cost to underserved populations. The system integrates: AI-powered diagnostic tools embedded in solar-powered kiosks, blockchain-secured, manually generated QR codes to ensure ethical data protection, real-time dashboards with emergency signaling software capable of transmitting medical instructions within minutes. Results: In its pilot phase, the platform reached 1,000 participants, achieving high patient satisfaction while maintaining error rates between 5–15%. Conclusion: The Gen-Z AI Health Access initiative represents a transformative step toward global equity in cancer care. By leveraging ethical AI, decentralized systems, and sustainable technologies, this model aims to deliver cancer diagnosis and treatment support as a basic human right, even in the world’s most disconnected regions, starting in 2025. Citation Format: Sdanish Kadir, Noushad Javed. Gen-Z AI health access: A decentralized, ethical artificial intelligence platform for global cancer care in remote communities [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Cancer Evolution: The Dynamics of Progression and Persistence; 2025 Dec 4-6; Albuquerque, NM. Philadelphia (PA): AACR; Cancer Res 2025;85(23_Suppl):Abstract nr A029 .