BioTeCare: AI, Data Science and Deep Learning for Smarter Healthcare
Technology is playing an increasingly prominent role in the biohealth field. Its implementation enables data collection and data-driven decision-making, thereby improving patient diagnosis and treatment. In this context, the BioTeCare project was launched—an initiative aimed at promoting research and the development of innovative solutions based on data science, artificial intelligence (AI), and deep learning.
Machine learning algorithms and AI are being used to analyse large volumes of data, medical images, and patient records, helping to enable early diagnosis and the prediction of diseases. Data science plays a vital role in advancing personalised medicine by tailoring treatments to each individual’s genetic profile and lifestyle. In addition, wearable technology and connected medical devices allow real-time health and wellbeing data to be collected and analysed, from heart rate and physical activity to sleep patterns and stress levels—leading to more effective and less invasive therapies.
Predictive models can anticipate the demand for healthcare services, support more efficient resource allocation, and help reduce waiting times. Data management systems and telemedicine platforms are democratising access to healthcare in remote areas and improving coordination among healthcare professionals.
BioTeCare is an initiative funded by the Institute for Business Competitiveness of Castilla y León (ICECYL), in which we participate alongside the Fundación Instituto Tecnológico de Castilla y León (ITCL)—the lead organisation of the consortium—and five leading companies based in the region, spanning various sectors: Biomar Microbial Technologies, Isabel I University, Telecyl S.A. (Madison MK), Global Start Dynamics, and Syltec. The project makes a significant contribution to the thematic priorities of RIS3, addressing a key area such as data technologies in the healthcare and social care sectors.
The BioTeCare Project carries out research into data technologies in the healthcare sector, establishing an ethical and legal framework for the use of technologies such as deep learning and AI, which enable the creation of innovative solutions that strengthen healthcare provision and improve patient outcomes. These actions form part of a broader plan to enhance the region’s industrial capacity with new skills and tools, while also positioning Castilla y León as a national and international benchmark in life sciences and digital health innovation.