Improving Early-Stage Cancer Detection Rates with Federated Learning

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QMed Asia, Malaysia’s top online doctor consultation platform, partnered with JelloX Biotech to develop a federated learning (FL) solution for early-stage cancer detection. Using Intel® technologies, the MetaLite* platform integrates QMed’s architecture with JelloX’s 3D imaging to digitize and analyze medical records like chest X-rays and pap smear slides. High-resolution scans are processed on a powerful server and visualized with AI plug-ins to support accurate cervical and lung cancer diagnoses. Secured by Intel® Software Guard Extensions, MetaLite* enables a trusted, efficient diagnostic process, reducing costs by 50% and improving workflow efficiency by 20%.

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Improving Early-Stage Cancer Detection Rates with Federated Learning

Improving Early-Stage Cancer Detection Rates with Federated Learning

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