Abstract
The papers in this special section focus on innovative data analysis methods for biomedicine. Biomedical engineers as well as bioinformaticians have been working on data structures and methods to manage huge quantities of data that can be stored and efficiently accessed in both local data storage and cloud data structures. Recent activities and experiences reported in the literature reflect the new developments on how to access, process, and transform data into solutions for clinicians and patients. This special issue has been designed during the COVID-19 pandemic, at the end of 2019, with a focus to present some of the best papers at ACM-BCB 2019 (Buffalo, NY).
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