AI Project Analyzes Routine Blood Tests for Disease
The international BloodCounts! research consortium aims to improve diagnostic accuracy using existing global medical data.
Updated on Oct. 26, 2026 in Artificial Intelligence
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The BloodCounts! project has launched in Singapore to apply artificial intelligence to routine blood test data. This research-stage initiative aims to identify disease patterns within the 10 million complete blood count tests performed daily worldwide.
Why it matters
By extracting medical signals from existing diagnostic tests, this project seeks to improve early disease detection and clinical outcomes without requiring additional patient procedures. It represents a systematic effort to derive greater value from high-volume routine healthcare data.
The project integrates global clinical data to build predictive models, backed by a broader SGD$120 million funding envelope for the AI-for-Science initiative. It is the first healthcare project hosted by the Cambridge Centre for Advanced Research and Education in Singapore.
The players
Cambridge Centre for Advanced Research and Education
An international research hub based in Singapore that manages multi-disciplinary scientific projects.
National University Health System
A Singaporean academic health system participating in the international research consortium.
SingHealth
Singapore's largest healthcare group that provides clinical data and infrastructure for research.
National Research Foundation, Singapore
A government agency that provides funding and strategic direction for national scientific initiatives.
The details
The project uses artificial intelligence to scan large datasets of complete blood counts—a common diagnostic panel measuring red and white blood cell levels—for recurring patterns. By combining this data with electronic clinical records from partner hospitals, researchers aim to identify markers for undiagnosed conditions. The approach treats routine test results as a rich, underutilized data stream rather than just a point-in-time diagnostic tool.
Timeline
The Cambridge Centre for Advanced Research and Education was established in 2013.
The BloodCounts! project launch was reported on October 26, 2026.
The research team will host a formal launch event on October 29, 2026.
The Tech Race
This project is the first healthcare-focused venture within the AI-for-Science initiative, representing a strategic shift toward high-volume medical diagnostic informatics. It positions Singapore as a central node in a global effort to optimize clinical decision-making via machine learning.
This research is in the early stages and does not yet affect clinical workflows or patient diagnosis. Future iterations may eventually provide clinicians with predictive insights based on routine blood work during standard checkups.
The takeaway
The BloodCounts! project is a long-term research effort aiming to turn massive daily test volumes into a diagnostic data layer. Watch for the project's performance benchmarks in upcoming peer-reviewed findings to see if these models can move from research to clinical validation.
What happens next
The research team will host a formal launch event on October 29, 2026.
Further reading
For more developments in medical machine learning, explore our Artificial Intelligence section.
More information
View project updates at the Cambridge Centre research project information.
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Do you believe using artificial intelligence to analyze routine medical tests will improve patient care?
