Coordinador
Research groups
- TICs and Emotions
- Applied Biomechanics
- Signal Interpretation
- Wireless Technologies, Security and e-Health
- Biomaterials
- Power Electronics
- Smart Environments
- Ergonomics
- Mechanobiology
- Tissue Microenvironment
- Laser Technologies
- Physiotherapy
Many rare diseases cause chronic health problems or are even life-threatening. The impact on the quality of life of affected patients, of whom many are children, is significant. To date, a limited but increasing number of so-called orphan drugs (drugs for rare diseases) are reaching patients.
However, the majority of rare diseases are still without any effective treatment. The development of novel human systems for drug discovery therefore represents a major public health priority. Microfluidic technology-based “Organs-on-a-chip” represents a powerful tool for investigating rare disease mechanisms and testing new drug and treatment due to their ability to mimic tailored micro-environment architecture inspired by organ-level functions in vivo.
Projects
Translational cardioselective RNAi therapies and predictive heart-on-chip to tackle cardiac clinical challenges
In silico framework to improve the personalized prediction of progression and outcomes in thoracic and abdominal aortic aneurysms based on personalized clinical and mechanical biomarkers
To develop a computational-experimental framework to improve the prediction of the initiation, progression and final outcome of the pathology.
To validate technically and clinically novel methods to understand, and give support to tremor diagnosis.
By developing biological ventricular assist devices (BioVADs), BRAV3 will bring a quantum leap in regenerative medicine and its translation towards the clinic, as well as impact the development of novel medical technologies whilst greatly advancing our knowledge on human heart development.
Computational modeling of cell culture in dynamically adaptive multilayer microenvironment charged with drug-delivery microcapsules
Develop computational tools for the predictive analysis of key factors in the evolution of multiple myeloma and cartilage, and spinal cell growth and more...
The main objective is to develop a comprehensive methodology for the correction and treatment of mandibular asymmetries in children.
Integrated design with artificial intelligence and engineering of bioprinted multi-organoids in chPrincipal investigator for tumour diagnostics and therapy
Customised DNA-based nanocarriers to boost heart healing
DNABEATS aims to bring advanced materials to regenerate injured myocardium.
Extracting the Human Motor Null Space from Muscles - A new framework to measure human neural activity
ECHOES will capitalize on recent breakthroughs in decoding the spinal outputs to muscles to develop a theoretical and experimental framework to unveil the 'motor null space' in human muscles.
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Predict and prevent foot pathologies related to hallux limitus and flat feet
Predict and prevent foot pathologies related to hallux limitus and flat feet
Multiscale modeling of the interaction between the immune system and glioblastoma evolution
In vitro characterization and in vitro/in vivo simulation of the effect of hypoxia and drug dosis in glioblastoma growth
The in vitro and in silico study of glioblastoma multiforme (GBM) tumor is proposed.
Individual and Collective Migration of Immune Cellular Systems
ICoMICS aims to develop a novel virtual simulation platform to investigate how therapeutic immune cells (TICs) detect, move and interact with cancer cells and the tumour microenvironment.
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multI-discipliNary, multi-Sectoral and multi-national trainIng network on Digital biomarkErs for supraventricular arrHythmia charactErizAtion and Risk assessmenT
Establishing a multi-disciplinary network to tackle the design and the early-phase validation of digital biomarkers, specifically targeting the diagnosis of supraventricular arrhythmias (SVAs) and their associated potential for adverse risk assessment, via the joint combination of signal processing, artificial intelligence and non-clinical devices.
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In silico models for tendinomuscular injuries analysis using artificial intelligence techniques
To continue characterizing the in vitro mechanical properties of tissues present in the ankle joint of a mouse model and extend the study to those involved in the shoulder's rotator cuff. In the case of muscles, the active behavior will also be analyzed by inducing contraction through an external electrical signal.
Methods for Stroke Monitoring and Diagnosing based on BCG
To develop novel, non-invasive methods for detecting cardiac and non-cardiac disease in stroke patients using the ballistocardiogram (BCG) signal, allowing for patient monitoring without transfer to clinical settings
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COMPUTER-AIDED EFFECTIVE FRACTURE RISK STRATIFICATION OF PATIENTS WITH VERTEBRAL METASTASES FOR PERSONALISED TREATMENT THROUGH ROBUST COMPUTATIONAL MODELS VALIDATED IN CLINICAL SETTINGS
METASTRA will propose new guidelines for the stratification and management of metastatic patients. METASTRA approach is expected to cut the uncertain diagnoses from the current 60% down to 20% of cases. This will reduce patient suffering, and allow cutting expenditure by 2.4B€/year.
Mental Illness Detection and Clinical Assessment with Reliable Interpretability
This project aims to develop an open source AI based model, explainable and transparent, that can assess between many mental illnesses using voice recordings from a patient, contributing from the study, analysis and understanding of the problem, providing greater interpretability, security and extrapolation ability.
To improve diagnosis and monitoring of sleep apnea-hypopnea syndrome (SAHS)
Deepening knowledge and improving the Quality of Life in Parkinson Disease through Smart Insoles
To develop intelligent insoles that will allow, by means of force and inertial sensors and advanced algorithms, to monitor the patient's gait and provide personalised information on the patient's evolution.
Optimisation of personalised treatments for femoral fractures using digital twins and machine learning
PELVIc Floor Evaluation live TRACKing – Real-time prediction of perineal trauma
To develop the first-ever solution to predict pelvic floor tearing
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Microelectronic control architectures for smart power electronic converters based on wide-gap semiconductors
Gemelo digital para la detección, el diagnóstico asistidos del cáncer de próstata y la simulación de los efectos y la eficacia de diferentes tratamientos oncológicos
Desarrollar una herramienta computacional para crear un gemelo digital 4D: un modelo virtual diseñado para reflejar con precisión toda la próstata de un paciente y de su posible tumor
Implementation and validation of a closed-loop neural interface to entrain brain rhythms and reduce motor symptoms in Parkinson's Disease
To develop a non-invasive neuromodulation platform to apply closed-loop stimulation protocols synchronized with brain oscillations decoded from the periphery with muscle recordings
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Unlocking data content of Organ-On-Chips
To develop groundbreaking Organ-on-Chips (OOC) technologies to mitigate the challenges posed by use of animals in drug development and testing. Direct use of human cells is a real game changer, bridging the gender gap and allowing personalized medicine.
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Advanced image processing for early eye disease detection
The project will focus on extracting both macro- and microstructure biomarkers from clinical images of the retina, lens, and cornea to aid early disease detection and personalised management.
