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We propose a natural language processing system for medical reports, which allows the extraction of variables from patients affected by Covid19. In this way, joint databases can be created and shared
This project is a new type of research and an unprecedented global project that connects scientists, researchers and inventors in a way that has never existed before.
Bioinformatic analysis of genomic data from massive sequencing of COVID-19 patients that explains the greater or lesser severity of this disease and makes it easier to find the best treatment.
Knowledge Engineering of SARS-CoV-2 information sources for rendering the progressive outlook of drugs, vaccines and therapies development in terms of its efficacy and safety
NeaThera aims to reduce the risk of fatalities and clinical severity in groups at Higher Risk.
Helping citizen in Europe to get mental health support (interventions, e-mental health offerings, etc.) based on a professional, scientifically evaluated diagnostic screening.
Detect SARS-CoV-2 rapidly and non-invasively at low cost
International research platform for everyone Inventor researcher and scientist
Getting the right data to the right people at the right time
A knowledge graph (KG) integrating knowledge extracted from scientific literature and databases will be created as well as AI models, to derive interactions among drugs for COVID-19.
