Call for Papers |
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Summary
We are pleased to announce a call for papers for a special issue entitled "Application of Artificial Intelligence and Machine Learning in Biology" to be published in the prestigious Biocell. This special issue aims to bring together cutting-edge research that explores the intersection of artificial intelligence (AI), machine learning (ML), and biology, with a focus on applications and advancements in various domains within the field. Artificial intelligence and machine learning have revolutionized the way we analyze complex biological data and understand biological systems. Integrating AI and ML techniques has opened up exciting possibilities for exploring genomics, proteomics, transcriptomics, and other "omics" fields. This special issue invites original research articles, reviews, and case studies that showcase the innovative use of AI and ML algorithms in areas such as gene expression analysis, protein structure prediction, drug discovery, precision medicine, computational genomics, systems biology, and synthetic biology, among others. Contributors to this special issue will have the opportunity to present their latest research findings and advancements in the application of AI and ML in biology. We encourage researchers from diverse backgrounds, including computer science, bioinformatics, computational biology, and related disciplines, to submit their work. Submissions should highlight the novel algorithms, methodologies, and tools employed, as well as demonstrate the impact of these approaches on advancing our understanding of biological systems and addressing key challenges in the field. We invite interested authors to submit their manuscripts via the Biocell's online submission system, adhering to the journal's guidelines for formatting and style. All submissions will undergo a rigorous peer-review process by experts in the field to ensure the highest quality and relevance. Accepted papers will be published in the special issue, providing a platform for researchers to share their insights and contribute to the growing body of knowledge at the intersection of artificial intelligence, machine learning, and biology. We look forward to receiving your ground-breaking contributions and making this special issue a valuable resource for researchers, scientists, and practitioners in the field. Together, let us explore the vast potential of AI and ML to unravel the complexities of biology and drive transformative advancements in the life sciences. Keywords Artificial intelligence Biology Cell cycle measuring Cell metabolic analysis Cellular image analysis Classification of cellular images Clinical diagnosis and treatment Computational genomics Drug discovery Exploration of cancer immunotherapy targets Gene expression analysis Genomics Machine learning Omics Precision medicine Prediction and classification algorithms for cellular/molecular data Protein structure prediction Proteomics Statistical tools and data analytics in cellular/molecular data Synthetic biology Systems biology Transcriptomics |
Credits and Sources |
| [1] AAIMLB 2023 : Application of Artificial Intelligence and Machine Learning in Biology |
