Artificial Intelligence Research for Complex Biological Systems

A special issue of Biology (ISSN 2079-7737). This special issue belongs to the section "Bioinformatics".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 73

Special Issue Editors

Department of Biology and Biomedical Sciences, Rowan University, Glassboro, NJ 08028, USA
Interests: single-cell omics data analysis; deep learning; mathematical modeling; cancer epigenetics; neuroscience

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Guest Editor
Scojen Institute of Synthetic Biology, Reichman University, Hertsliya 4610101, Israel
Interests: chimeric RNAs; fusion proteins and liquid biopsy in complex diseases; machine learning and genomics algorithms

Special Issue Information

Dear Colleagues,

Advancements in intelligent computing technology have significantly propelled cutting-edge research within the realms of bioinformatics, computational systems biology, and related fields. Intelligent computing methodologies have assumed a progressively pivotal role in both biological and medical research to investigate complex biological systems. Notably, intelligent computational approaches have demonstrated their efficacy in analyzing single-cell and bulk omics data, elucidating dynamic mechanisms pertinent to cancer and neuroscience and proficiently modeling and optimizing intricate biological systems. Single-cell omics data, characterized by their complex format, voluminous nature, high data dimensionality, suboptimal data quality, and pronounced levels of noise, have become a focal point in contemporary computational biology research, underscoring the importance of employing intelligent computing techniques for their analysis and interpretation. The anticipated emergence of generative artificial intelligence offers promise in establishing foundational computational frameworks, thereby fostering systematic advancements in biological and biomedical research. Consequently, we are pleased to announce an upcoming Special Issue titled "Artificial Intelligence-driven Discovery Research for Complex Biological Systems" in the Biology journal [MDPI]. The overarching objective of this Special Issue is to showcase the latest breakthroughs in the fields of bioinformatics, computational systems biology, and modern genomics, and we welcome submissions of technical papers focusing on data-driven studies leveraging intelligent computing technologies.

Dr. Yong Chen
Dr. Milana Frenkel-Morgenstern
Guest Editors

Manuscript Submission Information

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Keywords

  • deep learning
  • generative artificial intelligence
  • bioinformatics
  • complex biological systems
  • cancer
  • neuroscience
  • next-generation sequencing
  • single-cell and bulk omics
  • genomics

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Published Papers

This special issue is now open for submission.
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