Exploring Cancer Molecular Mechanisms with AI
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 65
Special Issue Editors
Interests: bioinformatics; data analysis; disease; statistics; artificial intelligence
Interests: bioinformatics; data analysis; disease; statistics; artificial intelligence
Special Issue Information
Dear Colleagues,
Deep learning, a new powerful paradigm of artificial intelligence, has revolutionized clinical bioinformatics, biological research and medicinal practice making it possible not only to improve the specificity/sensitivity, but also to discover the molecular signatures for the diseases where no statistical biomarker was previously available, shed light on the mechanisms behind pathology, and stratify populations regarding the drug effects and treatment response. The special issue welcomes the submissions reporting advances in understanding molecular mechanisms of cancer obtained via deep learning with any type of attributes: clinicopathological, transcriptomics data including single cell, mutational data, features with structural information and physicochemical properties. The scientific contributions with a potential impact in clinical practice in oncology are expected to be a result of interdisciplinary research, as for example, straddling the intersection of artificial intelligence, genomics, and drug design. We are looking forward to reading your articles and will organize a speedy review with accepted articles being published on the ongoing basis.
Dr. Juan Jose Lozano
Dr. Julia Sidorova
Guest Editors
Manuscript Submission Information
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Keywords
- cancer
- biomarker
- deep learning
- molecular signature
- omics data
- pharmacogenomics
- artificial intelligence
- bioinformatics
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