AI-Driven Bioinformatics: Emerging Trends and Technologies
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 619
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is pivotal in advancing bioinformatics by providing innovative solutions for the analysis and interpretation of complex biological data. This Special Issue focuses on the emerging trends and technologies in AI-driven bioinformatics, highlighting the latest research and developments in this interdisciplinary field, where AI techniques, including machine learning, deep learning, natural language processing, and evolutionary algorithms, are currently being utilized to address various challenges.
We welcome contributions focusing on, but not limited to, the following areas:
- AI and Computer Vision in Autism Spectrum Disorder (ASD): Exploring the use of AI and computer vision techniques to analyze behavioural data, identify patterns, and improve diagnosis and intervention strategies for ASD.
- Biomedical Text Mining: AI-driven approaches for extracting insights from the biomedical literature, including sentiment analysis and semantic annotation.
- AI in DNA Data Storage: Innovative AI techniques for encoding, decoding, and optimizing DNA-based data storage systems.
- AI in Medical Imaging and Video Segmentation: AI-based methods for medical image analysis and video segmentation.
- Evolutionary Algorithms in Bioinformatics: Application of evolutionary algorithms for optimizing bioinformatic processes, including the design of robust codes for DNA data storage.
We look forward to receiving your contributions.
Dr. Abdur Rasool
Guest Editor
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Keywords
- artificial intelligence
- bioinformatics
- machine learning
- deep learning
- DNA data storage
- medical imaging
- evolutionary algorithms
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