Researchers at the School of Computing, University of Buckingham, Buckingham, UK, are inviting submissions for a Special Issue on Machine Learning Technology in Biomedical Engineering — 2nd Edition. This initiative aims to highlight the latest advancements in applying machine learning technology in the field of biomedical engineering.
With a particular focus on big data processing, data mining, machine learning, image analysis, and time series analysis, the Special Issue seeks to explore the diverse applications of machine learning in healthcare. From disease diagnosis to personalized medicine, the potential of machine learning in revolutionizing healthcare is immense.
The Special Issue will encompass various topics, including predictive modeling, deep learning, drug discovery, biomarker discovery, and medical decision-making. The call for submissions encourages interdisciplinary collaborations between machine learning and biomedical engineering researchers to foster innovation and knowledge exchange.
Machine learning technology has the power to enhance healthcare outcomes by unlocking new insights into disease mechanisms, identifying biomarkers, and optimizing treatment strategies. By leveraging machine learning algorithms, researchers can streamline medical imaging analysis, automate diagnostic processes, and expedite drug discovery efforts.
Manuscripts for the Special Issue can be submitted online via the MDPI platform. All submissions will undergo a rigorous peer-review process, with accepted papers being published continuously within the journal. Researchers are encouraged to contribute their latest research findings to further the development of machine learning applications in biomedical engineering.
The importance of this Special Issue lies in its potential to drive impactful advancements in healthcare through the intersection of machine learning and biomedical engineering. By promoting collaboration and knowledge dissemination, researchers have the opportunity to shape the future of healthcare technologies and methodologies.
Authors interested in submitting their work are advised to adhere to the guidelines outlined on the journal’s website. The Article Processing Charge for publication in this open-access journal is 2700 CHF. By fostering a collaborative environment for researchers, the Special Issue on Machine Learning Technology in Biomedical Engineering aims to propel innovation and drive positive change in healthcare.
