Computational Biomedicine is an open-access, multidisciplinary publication dedicated to the intersection of computational methodologies and biomedical science. The journal responds to the latest developments in this rapidly evolving field, with a focus on pioneering research that utilizes computational techniques, such as bioinformatics, data analysis, modeling, simulation, AI, and machine learning, to advance the understanding of biomedicine, disease mechanisms, and therapeutic strategies.

Key areas of interest include: 
● Artificial intelligence and machine learning applications in biology and medicine. 
● AI-driven biomedical data analysis. 
● Computational platforms, models, and algorithms tailored for biomedicine. 
● Natural language processing and data mining in healthcare contexts. 
● Intelligent and process-aware information systems in medical practice. 
● Software and algorithms designed for bioinformatics, computational biology, and medical applications. 
● Biomedical applications, including AI-assisted drug design and development. 
● Mathematical modeling, simulation, and studies in proteomics and genomics.

This journal seeks to publish high-quality research that pushes the boundaries of how computational tools can be applied to solve complex biomedical challenges.