New Insights into Machine Learning and Biomedicine: Updates and Directions

Dear Colleagues,

The Special Issue "New sight of machine learning and biomedicine: updates and directions" aims to provide an updated and comprehensive overview of the current state of the art in the field of machine learning and its applications to biomedicine. The scope of this Special Issue covers recent advances and directions in computational intelligence and machine learning techniques that have been applied to various biomedical problems such as disease diagnosis, treatment planning, drug design, and medical imaging analysis. The purpose of this Special Issue is first of all to define the concept of machine learning in biomedicine. Through this Issue, we want to discover what are the latest machine learning concepts applicable in the healthcare system and what are their real benefits for patients and medical staff. What are the current directions of study in this field and what future applications based on machine learning will we have in biomedicine.

The Special Issue aims to bring together researchers, practitioners, and experts in the field to share their experiences and insights on the latest developments in this rapidly evolving area. The topics of interest include, but are not limited to, the following:

Machine learning algorithms and models for biomedical data analysis;

Deep learning and neural networks in biomedicine;

Applications of machine learning in genomics and proteomics;

Medical image analysis and computer vision;

Electronic healthcare records and clinical decision support systems;

Predictive modeling and precision medicine;

Data integration and data mining in healthcare;

Ethical and legal issues in the use of machine learning in biomedicine.

The Special Issue also aims to highlight the future directions and challenges of this field, with a focus on the potential impact of machine learning on healthcare and its implications for society.

Dr. Cǎtǎlina Luca
Dr. Calin Corciova
Dr. Mario Petretta
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 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. 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.

• machine learning
• biomedical applications
• biomedicine