Deep Learning and Machine Learning Applications in Biomedicine
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 20 July 2024 | Viewed by 1966
Special Issue Editor
Special Issue Information
Dear Colleagues,
Biomedicine has been significantly transformed by the integration of artificial intelligence (AI) techniques, particularly machine learning (ML) and deep learning (DL). These technologies have revolutionized the way medical data are analyzed, diagnoses are made, and treatment strategies are developed. Deep learning and machine learning have been widely applied in disease diagnosis, personalized medicine, drug discovery, medical imaging, prognosis analysis, and in the explanation of pathogenic mechanisms.
As technology in the biomedical field continues to evolve, the omics categories and scale of data are experiencing continuous growth, leading to new computational method requirements. Although a large number of new methods including neural network architecture, optimization techniques, regularization methods, data enhancement strategies and transfer learning have been proposed, how to apply them to the biomedical field remains a major challenge.
This Special Issue is dedicated to the publication of cutting-edge algorithmic innovations in deep learning and machine learning, specifically applied to the biomedical field's most pressing problems.
Dr. Tianyi Zhao
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. Applied Sciences 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 2400 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
- deep learning
- machine learning
- disease diagnosis
- personalized medicine
- drug discovery
- medical imaging
- prognosis analysis
- pathogenic mechanism
