Deep Learning Methods and Application for Bioinformatics and Healthcare
A special issue of BioMedInformatics (ISSN 2673-7426). This special issue belongs to the section "Applied Biomedical Data Science".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 57824
Special Issue Editors
Interests: AI applications in bioinformatics and healthcare; data analytics; computer vision
Special Issue Information
Dear Colleagues,
Deep learning (DL), as an important research field of artificial intelligence, has received overwhelming attention from researchers in the science and engineering domains. It has been continuously advanced by high-performance hardware and ingenious solutions to practical problems. Bioinformatics and healthcare are two application fields in that DL can best exercise its potential, as the two fields often accumulate a large volume of data, deal with mission-critical tasks and bear high social-economical values to the society.
Aim and scope:
This Special Issue aims to collect recent cutting-edge contributions from researchers in the areas of interest. We are especially interested in receiving contributions pertaining to deep learning methods and applications for bioinformatics and healthcare. This can include deep learning methods and applications in the following:
- DNA and gene data analytics;
- Protein data processing;
- Omics data integration;
- Health information processing;
- Healthcare data processing;
- Medical records;
- Medical image processing;
- Healthcare service system;
- Pervasive health;
- Healthcare data feature extraction.
Dr. Pan Zheng
Dr. Bin Wang
Guest Editors
Manuscript Submission Information
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Keywords
- DNA and gene data analytics
- protein data processing
- omics data integration
- health information processing
- healthcare data processing
- medical records
- medical image processing
- healthcare service system
- pervasive health
- healthcare data feature extraction
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