Personalized Medicine
We analyses, process, and aggregate medical data and biomedical information to design and conceive technological approaches and solutions that support patients and healthcare professionals towards innovative personalized medicine in the following areas: cancer, diabetes & neuroscience.
Disease Management
We design and implement technological approaches and solutions that support patients and healthcare professionals in improving the prediction, prevention, diagnosis and progression of diseases, such as cardiovascular diseases, metabolic disorders, neurological diseases, cancer survivors, COPD, cognitive disorders, mental health, frailty and multimorbidities. These solutions are based on
Digital therapeutics for
disease management
mobile, IoT and Point of Care solutions and dashboards for patients and health professionals to enable the continuum process of care, self-management during the different disease stages.
Digital Platforms and IT infrastructures
or massive data collection and AI pipelines and data driven services for early prevention of risks and intervention on chronic disease management, compliant with the European Health Data Space strategy, policies, and regulatory.
Data Management for
Distributed Learning
Data Management for Distributed Learning, including training on the edge, IoT and end user devices, based on high performance and containerized infrastructure for MLOps lifecycle from data collection to AI services in use.
Disease-agnostic behavioral
and adherence models
using Real World Data captured from health information systems and patient registries, driven by a set of Ontology, Epistemology and Methodology principles, supported by Artificial Intelligence, Natural Language Processing, and Machine Learning.
Digital health information
tools
guiding patients to understandable, trustworthy, up-to-date information that meets the patient’s needs and fits with their health context and literacy levels, supported by open-source digital platform and digital services enhanced by electronic product information, used to further minimise the risks associated with incorrect adherence to advice on medicines.
HL7-FHIR AS A MEDIATOR
for Online Transaction Processing (OLTP) and Online Analytics Processing (OLAP) towards portable, interoperable, and scalable data collection system AI and big data suites.
Healthcare of the Future
We work in flagship research initiatives in collaboration with Pharma industry, Medtech, reference hospitals, regional and national healthcare systems towards delivery of innovative services:
ACTIVE AND HEALTHY
AGEING
Promoting active and healthy ageing and wellbeing in communities, for citizens and policy makers. We are creating innovative and sustainable ecosystems for solution, services, and community-based interventions.
Emergency Preparedness and New Pandemics
We are part of reference projects and initiatives that the EC has set up in response to the COVID-19 outbreak
Data Management for Distributed Learning
Data Management for Distributed Learning, including training on the edge, IoT and end user devices, based on high performance and containerized infrastructure for MLOps lifecycle from data collection to AI services in use.