A blood test AI project called BloodCounts! will develop models using routine blood count data to explore whether diseases can be detected earlier. The research will be hosted in Singapore by the Cambridge Centre for Advanced Research and Education in Singapore (CARES).

Key Takeaways

  • National University Health System and SingHealth are joining the international consortium as its first Singapore partners.
  • The models are planned research tools; the announcement did not give a date for clinical availability.

How the blood test AI project will work

Announced on October 26, 2026, BloodCounts! aims to use measurements from complete blood count tests to identify subtle changes in blood cells across a range of diseases. The researchers hope the models can eventually support early diagnosis, prognosis and clinical decisions using data already generated during routine care.

The announcement describes a development project rather than a tool already available for patient care. It does not specify when the models will be completed or deployed clinically.

Partners and funding

Professors Weisi Lin of Nanyang Technological University and Michael Roberts of the University of Cambridge lead the project. National University Health System will provide anonymised blood count and clinical data, alongside scientific expertise. SingHealth will contribute clinical data infrastructure and expertise.

The National Research Foundation, Singapore is supporting BloodCounts! under its AI-for-Science initiative. The project is one of eight in the SGD 120 million programme; the announcement did not disclose the award amount for BloodCounts!.

Next milestone

The research team plans to hold a launch event on October 29, 2026, to discuss the project and its expected work in the coming months.

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