CBmeter-AI — Proof of Concept and Validation of the CBmeter with Artificial Intelligence Algorithms to Support Early Diagnosis of Metabolic Diseases

CBmeter-AI: Support for Early Detection of Metabolic Risk

CBmeter-AI advances the CBmeter proof of concept by integrating non-invasive biosignal acquisition and artificial intelligence to support early screening for metabolic diseases, especially prediabetes. The project will develop and validate a laboratory prototype, expand the dataset, and refine machine-learning algorithms to provide more robust diagnostic support.

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Keywords: Artificial Intelligence, Biosignals, Prediabetes

Principal Investigator: Rafael Fernandes Pinheiro (rafael.f.pinheiro@ipleiria.pt)

Research Team:

ciTechCare: Maria Pedro Guarino (maria.guarino@ipleiria.pt), Marlene Lages (marlene.c.lages@ipleiria.pt), Rui Fonseca Pinto (rui.pinto@ipleiria.pt), Sara Dias (Sara.Dias@ipleiria.pt)
ESTG Instituto Politécnico de Leiria: Nuno Vieira Lopes (nuno.lopes@ipleiria.pt)

Duration: 18 months (2026 – 2027)

Institutional Partners and Others

ULS da Região de Leiria (Unidade Local de Saúde da Região de Leiria)

Reference: CENTRO2030-2024-59

Funding: CENTRO2030-FEDER-02364000