Applied Biomedical Data Science
A section of BioMedInformatics (ISSN 2673-7426).
Section Information
The Applied Biomedical Data Science section centers on the integration of data science methodology with biomedical research and healthcare application. Through data analysis techniques, machine learning algorithms, and statistical modeling it is possible extract valuable insights from complex biomedical datasets. By bridging the gap between data science and life sciences, applied biomedical data science plays a critical role in advancing precision medicine, drug discovery, and disease understanding.
Keywords
- applied biomedical data science
- data analysis
- machine learning
- genomics
- proteomics
- precision medicine
- drug discovery
- electronic health records (EHRs)
- medical imaging
- personalized medicine
Editorial Board
Special Issue
Following special issue within this section is currently open for submissions:
- Editor's Choice Series for the Applied Biomedical Data Science Section (Deadline: 31 December 2024)