IASIS and BigMedilytics: Towards personalized medicine in Europe
Ernestina Menasalvas Ruiz, Alejandro Rodr\'iguez-Gonz\'alez, Consuelo, Gonzalo Mart\'in, Massimiliano Zanin, Juan Manuel Tu\~nas, Mariano Provencio,, Maria Torrente, Fabio Franco, Virginia Calvo, Beatriz Nu\~nez
TL;DR
This paper reviews the activities of a research group in Spain involved in European projects IASIS and BigMedilytics, focusing on applying Big Data and AI to advance personalized medicine in Europe.
Contribution
It presents the group's work within two European projects, highlighting their efforts in leveraging Big Data and AI for personalized healthcare applications.
Findings
Initial results demonstrating potential of AI in personalized medicine
Discussion of challenges in handling complex biomedical data
Insights into European collaborative efforts in biomedical AI
Abstract
One field of application of Big Data and Artificial Intelligence that is receiving increasing attention is the biomedical domain. The huge volume of data that is customary generated by hospitals and pharmaceutical companies all over the world could potentially enable a plethora of new applications. Yet, due to the complexity of such data, this comes at a high cost. We here review the activities of the research group composed by people of the Universidad Polit\'ecnica de Madrid and the Hospital Universitario Puerta de Hierro de Majadahonda, Spain; discuss their activities within two European projects, IASIS and BigMedilytics; and present some initial results.
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Taxonomy
TopicsGenetics, Bioinformatics, and Biomedical Research · Biomedical Text Mining and Ontologies · Bioinformatics and Genomic Networks