Scientific areas - MeDiTech
The institute comprises four highly interdependent scientific areas dedicated to researching and developing new approaches to personalized healthcare diagnosis and treatment. This is achieved by integrating digital technologies to collect, analyze, and process biosignals and large amounts of heterogeneous data.
Medical Devices
Develops medical devices and systems with different integrative steps ranging from nanotechnology (nanomaterials, biointerfaces), microtechnology (microfluidics, photonics and sensor technology) to microdevices. This enables highly integrated systems for advanced therapies, diagnostics and support for precision medicine.
Biomedical Signal Processing
It deals with the extraction of clinically relevant information from biological, subjective and contextual data. It also studies the optimization of systems based on artificial intelligence and advanced statistics for prevention, therapy, and personalized diagnosis.
Biomedical Informatics and Data Science
Focuses on enabling the reuse of clinical data for research, clinical decision support and precision health in general, while protecting the privacy of patient data. Efforts are based on the application of artificial intelligence, natural language processing (NLP), machine learning, standard terminologies and ontologies for innovative, effective and efficient reuse of unstructured and deep phenotyping clinical data.
Ubiquitous Health
Develops mobile health and telemedicine systems focused on data collection and analysis to aid diagnosis and treatment of diseases, particularly neurodegenerative diseases. It also focuses on designing systems to improve data management, optimize processes, and enhance care pathways within healthcare facilities.