Emerging Artificial Intelligence Trends for Predictive Analytics and Personalized Healthcare

Dear Colleagues,

The next big technology to revolutionize healthcare will be artificial intelligence (AI). AI is increasingly present in the prevention, diagnosis, treatment and monitoring phases of subjects. The models that are being implemented allow for the implementation of personalized medicine, which aims to offer tailored strategies for defined groups of people. The use of AI includes processing data acquired through wearable sensors or medical devices; analyzing medical images; clinical decision making; algorithms designed to help monitor patients; and population health management.

With regard to AI models, in addition to the most commonly used classical methods—such as Artificial Neural Networks and Genetic Algorithms—Deep Neural Networks, emerging trends like Generative Adversarial Networks (GANs), and Federated Learning are technologies that have the capacity to improve the outcomes of these processes.  

In this context, predictive analytics has emerged as a transformative tool to enhance the healthcare sector, offering the ability to process large amounts of patient data for the prediction and prevention of diseases, the optimization of treatment plans, and the enhancement of healthcare services.

Topics of interest for this Special Issue include, but are not limited to, the following:

• Machine learning in medicine, medically oriented human biology, and healthcare.
• Advanced data processing for human physiology.
• Wearable sensor data processing for the assessment of health conditions.
• Data analytics and mining for biomedical decision support.
• AI models leading to personalized medicine for the prediction and prevention, diagnosis, and treatment of disease.

Dr. Josu Maiora
Dr. Maria Begoña Sanz Echevarría
Prof. Dr. Manuel Graña
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.

• artificial intelligence
• machine learning
• deep learning
• predictive analytics
• wearable sensors
• medical devices
• medical image analysis