Computational Intelligence in Multi-Omics Aiding Early Diagnosis
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 4935
Special Issue Editor
Interests: computer aided diagnosis; image processing; neural commputing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As the secrets of the medical and biological information related to diseases are gradually unlocked, scientists and researchers have observed that nearly all diseases have several factors that can aid in their early diagnosis. The identification of such factors is an important step for early diagnosis; however, using biological and clinical approaches for this purpose can be resource-demanding, time-consuming and costly. Thus, prior to such measures, one could opt for computational-intelligence-based approaches to produce results efficiently and accurately. This can be achieved through the analysis of multiomics data (involving genomics, proteomics, transcriptomics, epigenomics, etc.) as well as clinical profiles, biomedical records and biomedical images. This Special Issue in Diagnostics aims to publish original research and review articles exploring the role of computational intelligence in multiomics to aid early diagnosis of diseases. The scope of this Issue mainly covers the use of computational intelligence approaches, such as machine learning and deep learning, for the analysis of medical, biological and multiomics data of all natures and associated with any disease.
Topics of interest include, but are not limited to:
- Novel algorithms for advancement in early diagnosis using biological, medical and omics data;
- The use of computational intelligence in diagnostic biomarkers, with a focus on early diagnosis;
- Early diagnosis of diseases using medical image analysis;
- Computational intelligence in bioinformatics-aided early diagnosis;
- Biomedical applications related to early diagnosis.
Prof. Dr. Yaser Daanial Khan
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computational intelligence
- early diagnosis
- multiomics
- genomics
- proteomics
- transcriptomics
- medical images
- biomedical data
- classification
- detection
- machine learning
- deep learning
