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 with artificial intelligence to enable early screening for metabolic diseases, particularly prediabetes. The project will develop and validate a laboratory prototype, expand the dataset, and refine machine-learning algorithms to provide more robust diagnostic support.

Keywords: Artificial Intelligence, Biosignals, Prediabetes

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

Research Team:

ciTechCare: Maria Pedro Guarino (maria.guarino@ulo.pt), Marlene Lages (marlene.c.lages@ulo.pt), Rui Fonseca Pinto (rui.pinto@ulo.pt), Sara Dias (Sara.Dias@ulo.pt)
School of Technology and Management of the University of Leiria and Oeste: Nuno Vieira Lopes (nuno.lopes@ulo.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