The Centre for Biomedical Technology is a research and technology centre of the Technical University of Madrid that brings together researchers from different disciplines on biomedical technologies, in collaboration with other external institutions, in order to:
Neuroimaging, MEG imaging, multimodality, simulation tools and multivariate and non-linear analysis for cognitive neuroscience and clinical neurology; cardiovascular imaging; microscopy; and virtual reality for training of minimally invasive surgery.
Design and manufacture of biocompatible and stable nanostructures for RMI contrast agents for in vivo early diagnosis of Alzheimer disease, labeling of human neural precursor cells for cellular therapies, and tumor hyperthermia based therapies and drug delivery.
mainly made up of two components: Neuroscience and Neuroinformatics, and it can be presented in three major research lines: Microanatomy of cortical column; Development and exploitation of software tools for experimental neuroscience; and Data analysis and visualization tools for brain simulation.M
Neuronal cell cultures experimental study to analyze feasibility of cell implantation applications in neurodegenerative diseases.
Research on brain communication mechanisms with very low frequency and intensity pulsed magnetic fields. Neurophysiologic basis of pain with somatosensorial stimulation compatible with fMRI.
Telemedical artificial pancreas and closed/semi closed-loop algorithms and glucose predictive models and prevention of Diabetes Mellitus and cardio metabolic risk.
New bioinspired fibers for biomedical applications, collagen-based materials applied to biostructural prosthesis and cell mechanics.
Neurorehabilitation processes modeling, dysfunctional models and hybrid bionics, smart monitoring of cognitive and physical rehabilitation, interactive virtual environments, telemedicine.
Novel devices for habits and daily activities monitoring, and intelligent environments for personalized and ubiquitous health care.
Integration of genomic and clinical databases, medical artificial intelligence, mathematical and computational tools to extract biological and clinical relevant information from large data sets.
Advanced chemical, biochemical and in-vitro diagnostic systems. Implementation of photonic transducers and bio transducers on a chip, biokits, readout platforms, bioreactors, tissue-on-a-chip and organ-on-chips.