Machine Learning in Biomedical Applications

Dear Colleagues,

Machine learning (ML) has emerged as a transformative force in the field of biomedical research, presenting unprecedented opportunities to revolutionize preventive measures, diagnostics, treatment strategies, and healthcare outcomes. This Special Issue focuses on the diverse applications of machine learning in the biomedical domain, highlighting its potential to extract meaningful insights from complex biomedical data and biological information.

Contributions to this Special Issue explore a broad spectrum of topics, including, but not limited to, intelligent physiological monitoring and sensing using wearable sensors and smart devices, machine learning and artificial intelligence methodologies for biomedical signal/data measurement analysis and interpretation, intelligent decision support systems for enhancing health outcomes, intelligent informatics for extended digital health reality, and data science and data engineering for biomedicine and health, as well as personalized and pervasive health technologies.

Researchers and practitioners are invited to submit their original work, addressing the challenges and breakthroughs in applying machine learning techniques to biomedical problems. Through this Special Issue, we aim to encourage collaboration and knowledge exchange, driving advancements that contribute to the improvement of healthcare outcomes and the overall well-being of individuals.

In this Special Issue, we welcome original research articles and reviews and eagerly anticipate receiving your valuable contributions.

Dr. Zunyi Tang
Dr. Yoshinobu Murayama
Prof. Dr. Mitsuhiro Ogawa
Prof. Dr. Shuxue Ding
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. 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.

• artificial intelligence
• machine learning
• physiological measurement and instrumentation
• biomedical signal and image processing
• biomedical modeling and computing
• disease diagnosis and clinical applications
• wearable sensors and smart devices
• assisted reproductive technology
• health informatics
• home healthcare and wellness management