The CanAI Journal of Biological Sciences publishes research at the intersection of artificial intelligence and the life sciences. The journal welcomes studies that use AI to advance genomics, proteomics, bioinformatics, ecology, and neuroscience. Contributions may include predictive models of disease spread, machine learning for biodiversity monitoring, or computational approaches that uncover hidden patterns in complex biological systems. By bridging biology with cutting-edge AI, the journal aims to accelerate discoveries that improve health, sustainability, and our understanding of life itself.
The CanAI Journal of Biological Sciences publishes research at the intersection of artificial intelligence and the life sciences. The journal welcomes studies that use AI to advance genomics, proteomics, bioinformatics, ecology, and neuroscience. Contributions may include predictive models of disease spread, machine learning for biodiversity monitoring, or computational approaches that uncover hidden patterns in complex biological systems. By bridging biology with cutting-edge AI, the journal aims to accelerate discoveries that improve health, sustainability, and our understanding of life itself.
CanAI Journal of Biological Sciences is a leading publication in the field, focusing on cutting-edge research and innovative methodologies. We leverage artificial intelligence to enhance the peer review process and ensure the highest quality of published research.
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