Coordinador
La División de Ingeniería Biomédica es un claro ejemplo del enfoque multidisciplinar del I3A, aúna especialistas en Biología, Medicina, Físicas, Matemáticas e Ingeniería que cooperan para desarrollar soluciones tecnológicas que mejoren la salud y la calidad de vida.
Las tecnologías actuales de diagnóstico, monitorización, terapia, cirugía y asistencia a las personas con discapacidad engloban casi todos los campos de la Ingeniería.
Líneas generales de investigación
- Biomateriales e ingeniería de tejidos
- Modelado biológico y biomecánico
- Instrumentación biomédica y procesamiento de señales
- Tecnologías de prevención y atención
- Gemelos digitales
- Medicina personalizada
Palabras clave
Mecanobiología, biomateriales, ingeniería de tejidos, microfluídica, biorreactores, dispositivos de diagnóstico, modelado del comportamiento celular, comportamiento microestructural de biomateriales, electrofisiología cardiaca, telemedicina, codificación automática de señales biomédicas, protocolos de transmisión de información biomédica, sensores inteligentes, algoritmos de visión por computador para detección humana, rastro y reconocimiento de actividad, diseño de prótesis, células madre mesenquimales, terapias de enfermedades neurodegenerativas, genómica y genética de priones, interfaces hombre-máquina adaptados, localización y guía en entornos interiores y exteriores.
Proyectos
Terapias RNAi cardioselectivas traslacionales y corazón-en-chip predictivos para abordar los desafíos clínicos cardíacos
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...
El objetivo fundamental es el desarrollo de una metodología integral para la corrección y el tratamiento de asimetrías mandibulares en niños.
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
In vitro characterization and in vitro/in vivo simulation of the effect of hypoxia and drug dosis in glioblastoma growth
Se propone el estudio in vitro e in silico del tumor de glioblastoma multiforme (GBM).
Individual and Collective Migration of Immune Cellular Systems
El objetivo de ICoMICS es desarrollar una novedosa plataforma de simulación virtual para investigar cómo las células inmunitarias terapéuticas (TIC) detectan, se mueven e interactúan con las células cancerosas y con el microambiente tumoral.
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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.
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To improve diagnosis and monitoring of sleep apnea-hypopnea syndrome (SAHS)
Optimización de tratamientos personalizados para fracturas femorales mediante gemelos digitales y aprendizaje automático
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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Arquitecturas de control microelectrónicas para convertidores electrónicos de potencia inteligentes basados en semiconductores de gap ancho
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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Translational Research and Training on Atrial Cardiomyopathy as a Key to Better Atrial Fibrillation Management
The project will train 15 researchers to address gaps in our understanding of AF, atrial cardiomyopathy (ACM) their management and consequences by integrating advanced data-driven and mechanistic computational modelling, clinical AI and wet-lab research with a focus on extended time scales of AF aetiology and progression.
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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Procesamiento avanzado de imágenes para la detección precoz de enfermedades oculares
Se centrará en la extracción de biomarcadores macro y microestructurales a partir de imágenes clínicas de la retina, el cristalino y la córnea para facilitar la detección precoz de enfermedades y una gestión personalizada
