Machine Learning for Biomedical Applications

Dear Colleagues,

In recent years, the collection and the analysis of medical data coupled with the advances in the artificial intelligence have allowed us to achieve potentially promising advances in the biomedical field. In this context, machine learning has demonstrated itself to be a very promising tool to both gain new insights from medical-related data and to pursue different objectives and find new alternative solutions which are potentially applicable to solve biomedical complex issues in a more automated, favorable, and rapid way. This Special Issue seeks high-quality contributions (articles, reviews, communications, etc.) which propose novel research and address recent progress applying machine learning strategies to the biomedical field, including, but not limited to, image and signal processing aimed at diagnosis and rehabilitation.

The topics of interest include, but are not limited to, the following application fields for machine learning:

• Biomedical and health informatics;
• Biomedical data processing from wearable sensors;
• Biomedical signal processing;
• Healthcare innovation;
• Image processing applications (e.g., radiomics, …)
• Internet of Things;
• Machine learning for bio-robotics and biomechanics;
• Neural and rehabilitation engineering;
• Support decision-making for medical diagnoses.

Dr. Giuseppe Cesarelli
Dr. Alfonso Ponsiglione
Dr. Carlo Ricciardi
Dr. Leandro Donisi
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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.