Paige
Cancer detection
Manual reviews miss cancer cells. Moving 10PB of data to Azure allows hospitals to run diagnostic AI without specialized local hardware.
- First pathology AI to receive FDA approval
- Target 2x annual pathologist adoption growth
Physical slides trapped data in silos. Now, federated AI learns across hospitals without moving files to catch cancer markers early.
Malaysia's leading online doctor consultation platform operates in a national healthcare system where 63% of cancer cases are diagnosed at advanced stages.
Diagnostic workflows relied on physical slides and offline records, creating data silos that prevented efficient sharing between medical...
“In the collaborative effort between QMed and JelloX, Intel played a pivotal role. Initially, they introduced us to JelloX, fostering a substantial collaboration that enabled us to introduce these solutions to key markets. Furthermore, the utilization of Intel’s advanced chipset and computing power was instrumental, facilitating the processing of extensive datasets and enabling us to conduct interpretations using the discounted advanced chipset power provided by Intel.”
Digital infrastructure and AI clinical tools for healthcare providers.
Microprocessor and semiconductor designer for data centers, PCs, and AI systems.
Collaborated with QMed Asia to innovate and integrate the MetaLite federated learning solution.
Related implementations across industries and use cases
Manual reviews miss cancer cells. Moving 10PB of data to Azure allows hospitals to run diagnostic AI without specialized local hardware.
Privacy rules forced local AI, but hardware costs slowed inference. Optimized CPUs now generate medical reports in under 3 seconds.
Reviewing hundreds of pages for 50 criteria caused missed matches. AI now parses records to find eligible patients ahead of visits.
Manual triage meant urgent faxes sat for days. AI now routes millions of documents to 1,200+ destinations in seconds.
Manual segmentation took 20 minutes, delaying care. AI now analyzes hemorrhages in seconds, aiding decisions across 23 regional sites.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.