Machine Learning in Chronic Diseases

Dear Colleagues,

Chronic diseases, such as diabetes, cardiovascular disease, cancer, and dementia, are on the rise, posing a significant global health burden. These conditions are increasingly prevalent, complex, and costly to manage, straining healthcare systems worldwide. Despite the growing challenge, global efforts to address chronic diseases remain inadequate.

Machine learning (ML) and artificial intelligence (AI) offer promising solutions to these challenges. From primary prevention to tertiary care, these technologies have the capacity to enhance healthcare delivery across the continuum of care. ML algorithms can facilitate early detection, enable personalized interventions, optimize clinical workflows, and inform policy decisions by uncovering insights from vast and complex datasets. However, translating these advancements into real-world healthcare applications presents a range of challenges, including data integration, model interpretability, ethical concerns, and scalability.

This Special Issue invites researchers to contribute innovative studies that explore the application of ML in various aspects of chronic disease management. We welcome submissions that address the following:

• Early detection and risk stratification.
• Patient monitoring and personalized care.
• System-wide optimization and resource allocation.
• Ethical considerations and fairness in ML applications.
• Integration of ML into real-world healthcare workflows.

Join a global community of experts dedicated to transforming healthcare by submitting your work to this Special Issue. Your research can inspire innovation, drive change, and ultimately improve the lives of countless individuals affected by chronic diseases. We encourage you to contribute your valuable insights and help shape the future of healthcare.

Dr. Habibollah (Habib) Pirnejad
Dr. Amin Naemi
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. 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.