AI case study

QMed AsiaCancer diagnostics

Physical slides trapped data in silos. Now, federated AI learns across hospitals without moving files to catch cancer markers early.

Published|1 year ago

Key results

Cost Reduction
50%
Workflow Efficiency
20%

Result highlights

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The story

Context

Malaysia's leading online doctor consultation platform operates in a national healthcare system where 63% of cancer cases are diagnosed at advanced stages.

Challenge

Diagnostic workflows relied on physical slides and offline records, creating data silos that prevented efficient sharing between medical...

Solution
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Quotes

The company

QMed Asia logo

QMed Asia

qmed.asia

Digital infrastructure and AI clinical tools for healthcare providers.

IndustryHealthcare Providers
LocationCyberjaya, Selangor, Malaysia
Employees11-50
Founded2018

The AI provider

Microprocessor and semiconductor designer for data centers, PCs, and AI systems.

IndustryTechnology
LocationSanta Clara, CA, USA
Employees100K+
Founded1968

The implementation partner

JelloX Biotech logo

JelloX Biotech

jellox.com

Collaborated with QMed Asia to innovate and integrate the MetaLite federated learning solution.

IndustryPharmaceuticals & Biotech
LocationZhubei City, Hsinchu County, Taiwan
Employees11-50
Founded2019

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