A platform to supply a continuous and sustained care and improvement to patients when combined with the adequate protocols and services.
A platform that can be supplied as an interoperable middleware or as a complete bottom-up solution.
A comprehensive CAD system based on radiologic- and pathologic-image biomarkers for diagnosis and prognosis of breast cancer relapse for distant metastasis
Development of new chemoresistive gas sensors with enhanced stability, selectivity and ultralow power consumption, with improved data acquisition through edge- and cloud-based AI algorithms, implementing data prediction strategies to handle missing data
Improvement of the quality of mental health in young people management and ensure affordable services by sharing information, providing scalable digital tools, and ensuring personalized decision-making and evidence-based interventions in an effective way
Creation of trainable knowledge models that benefit from a personalised and precise integration of air quality data acquisition with the real-time evolution of physiological parameters in the development of several breathing disorders
IoT digital platform for continuous monitoring bronchial asthma patients on their symptoms and bad air quality exposure.
Cutting-edge unobtrusive sensing technologies and advanced AI techniques to create a health monitoring system enabling early prediction of Diabetes Mellitus, Congestive Heart Failure and related diseases
Monitoring of Activities of Daily Living (ADL) of elders living alone at home, using gas sensors and applied AI to design identification algorithms through ML techniques
Non-invasive methodology for the diagnosis of leishmaniasis in dogs via the analysis of volatile breath samples, employing analytical methods and a system composed of different chemical gas sensing devices
Continuous and real-time monitoring of Volatile Organic Components (VOCs) produced by meat inside a refrigerator using gas sensors to be aware of its freshness and quality
Gas sensing enhanced with edge computing powered by a microprocessor based on a RISC-V architecture, and optimized for low energy consumption and high data security
Design, development and validation of an innovative prototype of a graphene-related node for a wireless sensor network to be used as autonomous system for environmental monitoring on different areas
Use of graphene sensor networks in Ambient Assisted Livings environment to detect human activities, and integration into a monitoring system to feed AI and decision support algorithms
Intelligent video-surveillance integrated into a monitoring system to identify daily activity of people and supply advanced security