Petia Radeva. I am an Associate Professor at the Universitat de Barcelona....
Physical activity and poor diet are major risk factors for metabolic disorders and the main causes of premature mortality. Efforts and tools to track lifestyles, identify trends and risk profiles, and provide individuals with continuous personalised and expert feedback are hugely important. This project consists of the design, development and validation of an intelligent system for acquiring and recording individuals’ personalised information in order to encourage them to adopt a healthy lifestyle based on behavioural skills, nutrition patterns and adequate physical activity. Based on wireless camera technology and advanced artificial vision, this system will have the capacity to track and quantify the behaviour of individuals for long periods of their daily lives.
DataScience@UB is among the 5 finalists of the MWSC 2019, with the project "Wireless Capsule Endoscopy Diagnosis by AI"
The DataScience@UB research group with the “Wireless Capsule Endoscopy Diagnosis by AI” lead by Santi Seguí and Jordi Vitrià has been selected from the 5 finalists of the Mobile World Scholar Challenge 2019 in the topic Deep Learning.
DataScience@UB obtains the accreditation of TECNIO center
DataScience@UB obtains the accreditation of TECNIO center, the developer of the most innovative technologies and facilitator that participates in the process of transfer of technology and knowledge to the company.
The General Management of Development Cooperation commissioned DataScience@UB to organize the debate session on the participatory process ‘Vision 2030: The Catalan contribution to global development’, devoted to the world of data in the field of development cooperation .