Digital technological innovation in personalized precision medicine
Through artificial intelligence and blockchain for the integration of multi-omic data in the clinical history of patients as a boost to clinical health care. General
Transform citizens care and facilitate its adaptation to the World Wide Personalized Precision Medicine Strategy.
How can molecular, clinical or lifestyle data support preventing, diagnosing or treating disease?
We perform interoperable solutions combining revolutionary innovate technologies to safely integrate massive biodata and facilitate its application in real clinical practice. Our expertise and data from very different disciplines, sectors and institutions is brought together to the best implement personalized precision medicine with effects on all citizens and patients in our societies.
Born in June 2020, under the BIOCEEI program for acceleration of innovative and technological business projects in the area of Bioeconomics and health in Asturias (Spain).
We seek to contribute to the transformation of the healthcare model towards personalized precision medicine leading the integration of biodata from multi-“omics” technologies for its implementation in the citizen-centered clinical practice.
We are compromised to guide and support organizations and professionals by integrating big biodata from multi-omics technologies with clinical data, allowing annotation from biodata inception up to final data visualization to support healthcare decision making
Through artificial intelligence and blockchain for the integration of multi-omic data in the clinical history of patients as a boost to clinical health care. General
The objective of this Scientific Mission is to activate relations between the agents of the Asturian agri-food system to collectively face the challenge of food
Asturias has the necessary potential to lead an active aging action that allows creating the basis for developing action strategies, aimed at the particular characteristics
Creation and start-up of EBT (Phase I): Title: “Prediction of aging-related changes by integrative precision multiomics based on application of bioinformatics and maching learning algoritms