Case Study

Improving Early-stage Cancer Detection Rates with Federated Learning

Improving Early-stage Cancer Detection Rates with Federated Learning

Pages 4 Pages

To address low early-stage cancer detection rates in Malaysia, QMed Asia, JelloX Biotech, and Intel partnered to develop MetaLite®, a federated learning-based 3D diagnostics platform. Deployed at major hospitals, MetaLite digitizes and analyzes medical images securely across sites, enabling accurate, real-time AI-assisted diagnosis for cervical and lung cancer. Powered by Intel® Xeon® processors and protected by Intel® SGX, the system improves accessibility, privacy, and diagnostic precision while minimizing infrastructure complexity—advancing digital healthcare transformation in underserved regions.

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