Guest Editors
Yudong Zhang, University of Leicester, UK. yudongzhang@ieee.org
Juan Manuel Gorriz, University of Granada, Spain. gorriz@ugr.es
Jin Hong, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China. hongjin_91@163.com
Shuihua Wang, University of Leicester, UK. shuihuawang@ieee.org
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 groundbreaking 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
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