BIOMEC Biomechanical Engineering Lab
Principal investigator: Josep Maria Font Llagunes
Website 
B2SLab is a multidisciplinary laboratory dedicated to data-driven biomedical research. Its mission is to advance healthcare through innovation, developing cutting-edge technologies that bridge the gap between data science and medical applications, improving patient outcomes and understanding complex biological systems. The group focuses on creating trustworthy, AI-based solutions to complex biomedical challenges, while also deepening our understanding of biological phenomena using computational modelling techniques, machine learning and statistics.
Featured Projects
TAILOR – Training the next generation of researchers in rehab robotics
European MSCA doctoral network focused on bringing robotic neurorehabilitation into clinical practice. TAILOR develops AI-driven controllers that adapt in real time to the patient’s motor status, improving therapy intensity, variability, and engagement. The project also promotes advanced training for researchers in personalized, intelligent rehab technologies.<br />
ArmTracker – Wearable system to monitor arm function in neuromuscular diseases
Development of a smart wearable for real-life monitoring of upper limb movement in patients with Duchenne muscular dystrophy and spinal muscular atrophy. It captures daily motion data (range, distribution, acceleration) and applies machine learning to generate objective biomarkers that support treatment decisions and track outcomes.
ABLE DailyExo – Smart exoskeletons for everyday use
In collaboration with Able Human Motion, this project designs and tests a new generation of lightweight, affordable robotic exoskeletons for home and community use. The goal is to help people with mobility impairments regain autonomy in daily tasks like walking or climbing stairs, overcoming the limits of current clinical-only devices.
TAILOR – Training the next generation of researchers in rehab robotics
European MSCA doctoral network focused on bringing robotic neurorehabilitation into clinical practice. TAILOR develops AI-driven controllers that adapt in real time to the patient’s motor status, improving therapy intensity, variability, and engagement. The project also promotes advanced training for researchers in personalized, intelligent rehab technologies.<br />
ArmTracker – Wearable system to monitor arm function in neuromuscular diseases
Development of a smart wearable for real-life monitoring of upper limb movement in patients with Duchenne muscular dystrophy and spinal muscular atrophy. It captures daily motion data (range, distribution, acceleration) and applies machine learning to generate objective biomarkers that support treatment decisions and track outcomes.
ABLE DailyExo – Smart exoskeletons for everyday use
In collaboration with Able Human Motion, this project designs and tests a new generation of lightweight, affordable robotic exoskeletons for home and community use. The goal is to help people with mobility impairments regain autonomy in daily tasks like walking or climbing stairs, overcoming the limits of current clinical-only devices.
