All Sections

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 bio...

The Clinical Informatics focuses on role of informatics in transforming healthcare delivery, patient outcomes, and clinical decision-making. Clinical informatics is a dynamic and interdisciplinary field that harnesses the power of information technology, data science, and healthcare domain knowle...

The Computational Biology and Medicine section accepts submission on computational techniques applied to biology, biotechnology and biomedical research and healthcare practices.

Through data analysis, mathematical modeling, and simulation, we can comprehend complex biological systems and ...

The Imaging Informatics section focuses on the role of informatics in revolutionizing medical imaging, enabling the acquisition, storage, management, and analysis of vast amounts of imaging data.

The integration of artificial intelligence and machine learning algorithms in healthcare imag...

The Medical Statistics and Data Science section provides a comprehensive overview of the vital role that statistics and data science play in medical research, clinical trials, and healthcare decision-making. With the exponential growth of biomedical data, the integration of advanced statistical m...

The section Methods in Biomedical Informatics focuses on the role of informatics in advancing biomedical research, healthcare, and data-driven decision-making.

The field of biomedical informatics is revolutionizing healthcare by facilitating precision medicine, disease modeling, and perso...