Biobanking is entering the new era-era of big data. New technologies, techniques, and knowledge opened the potential of the whole domain of biobanking. Biobanks collect, analyse, store, and share the samples and associated data. Both samples and especially associated data are growing enormously, and new innovative approaches are required to handle samples and to utilize the potential of biobanking data. The data reached the quantity and quality of big data, and the scientists are facing the questions how to use them more efficiently, both retrospectively and prospectively with the aim to discover new preventive methods, optimize treatment, and follow up and to optimize healthcare processes. Biobanking in the era of big data contribute to the development of predictive, preventive, and personalised medicine, for every patient providing the right treatment at the right time. Biobanking in the era of big data contributes to the paradigm shift towards personalising of healthcare.
Keywords: Artificial intelligence; Big data; Biobanks; Biomedical research; Cancer; Computation analysis; Diabetes; Economy; Healthcare; Implementation; Information technologies; Innovations; Liquid biopsy; Machine learning; Patient benefits; Personalised treatment algorithms; Population screening; Predictive preventive personalised medicine; Services; Stroke.
© European Association for Predictive, Preventive and Personalised Medicine (EPMA) 2020.