Machine learning-based biomedical signal processing is revolutionizing healthcare, offering innovative solutions to various challenges in digital health, telemedicine, mental health, chronic disease management, and more. The Division of Health Science at Warwick Medical School, University of Warwick, Coventry, UK, is showcasing the latest research advancements in this dynamic field through a Special Issue on this topic.
Researchers, practitioners, and innovators have the opportunity to share their findings and ideas on machine learning-based biomedical signal processing for diverse healthcare applications. This includes early diagnosis, disease detection, personalized medicine, mental health, remote monitoring, disease prediction, and biomedical imaging. The goal is to enhance understanding, improve outcomes, and provide effective treatment and prevention for a wide range of health-related issues.
Manuscripts can be submitted online for consideration in this Special Issue, covering a spectrum of areas related to biomedical signal processing and healthcare applications. Articles will undergo thorough peer-review and, if accepted, will be published in a timely manner. Authors are encouraged to ensure that their submissions are well-formatted, utilize good English, and adhere to the journal’s guidelines.
For those interested in contributing to this important discourse, detailed instructions for submission, including information on Article Processing Charges (APC) and English editing services, can be found on the journal’s website. Applied Sciences is an internationally recognized, open-access journal published by MDPI, offering a platform for sharing cutting-edge research in the field of healthcare and biomedical signal processing.
