B2SLab (Bioinformatics and Biomedical Signals Lab)

We work with large volumes of health data collected from both primary and non-primary care. Using AI and statistics, we build models that can predict diseases earlier, help personalise treatments, and simulate virtual patient profiles to improve care planning.

We design computer tools to analyse biological data — especially from omics and metabolomics, which studies the small molecules involved in metabolism. These tools allow researchers to interpret complex data and discover new patterns and relationships within the body’s systems.

We develop smart technologies that can improve healthcare, like non-invasive monitoring systems that track a person’s daily behaviour or health status — to address complex medical challenges.

→ Expertise in handling large-scale healthcare datasets from primary and non-primary care sources.

→ Development of predictive models for disease progression and patient stratification using machine learning, statistical methods, state of the art models or classical non-linear analysis models.

→ AI model biases assessment and auditing.

→ Bioinformatics Tools Development.

→ Creation and cocreation of software for omics data analysis.

→ Design and implementation of innovative biomedical technologies, such as non-invasive monitoring systems.

→ Collaborative research Initiatives.

→ Participation in projects supporting patients with rare diseases through data science initiatives.

→ Creation of API and data science services for publication of predictive models in health.

→ Courses and workshops in areas like machine learning and bioinformatics.