Machine Learning in Epidemiology

Dear Colleagues,

Artificial intelligence (AI) and machine learning (ML) are revolutionizing epidemiology, offering unprecedented tools for analyzing vast amounts of health data and generating previously unobtainable insights. These technologies enable the development of predictive models, improve disease surveillance, and optimize healthcare resource allocation. AI/ML approaches also encourage personalized healthcare by tailoring interventions based on individual risk factors and population-level trends, thus enhancing both prevention and treatment strategies. 

In this Special Issue, we invite submissions that explore the innovative use of AI and ML in epidemiological research, with a particularly interest in how these methodologies can be leveraged to improve disease outbreak predictions, support public health decision making, and utilize both structured and unstructured data to achieve more precise health outcomes. Additionally, we welcome research that highlights the challenges, ethical considerations, and future directions in AI/ML integration in the field of epidemiology. 

By fostering interdisciplinary collaboration and advancing AI/ML applications, this Special Issue aims to contribute to the development of more effective, data-driven public health strategies essential for addressing current and emerging health challenges. 

Dr. Xingyu Zhang
Dr. Leming Zhou
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 250 words) can be sent to the Editorial Office for assessment.

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. Journal of Personalized Medicine 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 2600 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.