Algoritmos de Inteligencia Artificial ayudan a detectar el cáncer de mama
El grupo de Robótica y Visión Artificial de la Universidad de Extremadura (Robolab) desarrolla algoritmos de procesamiento de imágenes biomédicas
This Plan has been co-financed by the Ministry of Science and Innovation with funds from the European Union NextGenerationEU (PRTR-C17.I1).
NEWSLETTER REGISTRATION:
In recent years, relevant biotechnological and digital developments (artificial intelligence, supercomputing, robotics and sensor technology, bioengineering, or nanotechnology, among others) have been achieved that are enabling the generation and massive analysis of omic data related to health and disease. This is leading to a radical change in the tools for designing and producing new diagnostic, prognostic and therapeutic systems and devices.
The integration and adoption of these enabling technologies in the biotechnology and medical technology industry is where the great potential lies for achieving personalized or precision medicine that establishes, for each individual, tools for prevention according to their predisposition to certain diseases, systems for early diagnosis, and methods for choosing the therapeutic strategy that best suits each person in each circumstance.
However, only with an integrative approach that takes into account the great complexity of human pathologies will we be able to respond to the most important health challenges we face: cancer, diseases associated with the aging process, minority diseases and infectious diseases.
Increase knowledge of the effects of all possible variants in human and pathogen genomes, transcriptomes, proteomes.
To deepen the study of gene expression at the individual cellular level, essential to develop new advanced diagnostic and prognostic systems and to identify new therapeutic targets.
To develop new personalized and targeted therapies such as nanodrugs, as well as advanced surgical techniques through the development of preclinical disease models that exploit the potential of biomimetic systems and biomodels.
El grupo de Robótica y Visión Artificial de la Universidad de Extremadura (Robolab) desarrolla algoritmos de procesamiento de imágenes biomédicas
El sistema de imágenes fotoacústicas de última generación “VEVO F2 LAZR-X”, incorporado recientemente al Instituto de Bioingeniería de Cataluña (IBEC),
El proyecto colaborativo INMUNOMACS-PRO es una esperanza para el tratamiento de la Degeneración Macular Asociada a la Edad ( DMAE),
El pasado 28 de junio se presentó oficialmente el Plan Complementario de Biotecnología Aplicada a la Salud de Galicia, destacando
El Plan Complementario de Biotecnología Aplicada a la Salud en Andalucía permitirá a la región situarse en la vanguardia internacional
El pasado mes de abril se puso en marcha la Plataforma para el análisis masivo de célula individual (Single Cell)
El Plan Complementario de Biotecnología Aplicada a la Salud, integrado en el marco del PERTE para la Salud de Vanguardia, ha sido cofinanciado por el Ministerio de Ciencia, Innovación y Universidades con fondos de la Unión Europea NextGenerationEU, el Plan de Recuperación, Transformación y Resiliencia (PRTR-C17.I1) y las siguientes comunidades autónomas: