Biological-World AI
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 1448
Special Issue Editors
Interests: bioinformatics; biological big data; epigenetics; artificial intelligence and machine learning
Interests: DNA methylation; predicted model; sequence complexity
Interests: bioinformatics; computational biomedicine; network medicine; graph learning; machine/deep learning; biomedical big data mining
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biological-world AI is interest to mathematicians, statisticians and computer scientists who apply their work to biological problems. This issue of Applied Sciences aims to provide broad coverage of the use of Computing and Artificial Intelligence by mathematicians and statisticians (including machine learning, deep learning, reinforcement learning, computer vision, natural language processing, and genetic and evolutionary computing), and by scientists who apply their work to biological problems. This Special Issue welcomes papers on approaches to these biological AI problems that can rapidly detect, characterize, predict and accommodate novelty in life science, biology and biomedicine, focusing on large data acquisition, analysis and curation. There are countless opportunities for computing and artificial intelligence to augment human capabilities and knowledge in fields such as scientific discovery, healthcare, medical diagnostics and agriculture.
TOPICS
- Computational biology of molecular structure, function and evolution;
- Computational systems biology;
- Next generation sequencing and high-throughput methods;
- Cheminformatics and pharmacogenomics;
- Computational methods and bioinformatics of disease;
- Biomedical and health informatics;
- Deep learning modeling in plant sciences.
Dr. Yaping Fang
Prof. Dr. Xuehai Hu
Prof. Dr. Wen Zhang
Guest Editors
Manuscript Submission Information
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