Data Science in Biomedicine

TL;DR

This paper discusses the significance and challenges of applying Data Science techniques to biomedicine, emphasizing interdisciplinary approaches and the impact of big data and cloud computing in advancing biomedical research.

Contribution

It provides a comprehensive overview of Biomedical Data Science, defining its scope, importance, and the integration of big data and cloud computing in biomedical research.

Findings

Highlights the interdisciplinary nature of Biomedical Data Science

Emphasizes the importance of big data and cloud computing in biomedicine

Discusses methodologies to advance biomedical discoveries

Abstract

We highlight the role of Data Science in Biomedicine. Our manuscript goes from the general to the particular, presenting a global definition of Data Science and showing the trend for this discipline together with the terms of cloud computing and big data. In addition, since Data Science is mostly related to areas like economy or business, we describe its importance in biomedicine. Biomedical Data Science (BDS) presents the challenge of dealing with data coming from a range of biological and medical research, focusing on methodologies to advance the biomedical science discoveries, in an interdisciplinary context.