Advances in Prediction, Prevention and Precision Medicine for Myocardial Infarction and Stroke
A special issue of Healthcare (ISSN 2227-9032).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 57
Special Issue Editor
Interests: (genetic) epidemiology of cardiovascular diseases; big data; genome-wide association studies; genetic risk scores; mendelian randomization; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, presenting a persistent challenge to public health systems. The potential to significantly reduce the burden of CVDs lies in advancements in innovative prevention strategies. The two most important features of CVDs are myocardial infarction and stroke, causing 83% of mortality from CVDs. This Special Issue of Healthcare, entitled "Advances in Prediction, Prevention and Precision Medicine for Myocardial Infarction and Stroke", is dedicated to showcasing cutting-edge research that leverages methods in precision medicine for these two fatal events.
Aim and Scope
The primary aim of this Special Issue is to highlight the current issues and solutions in precision medicine for stroke and myocardial infarction. We invite researchers to contribute original studies, reviews, and meta-analyses focused on the application of traditional epidemiological approaches alongside state-of-the-art machine learning techniques. Through a diverse collection of research papers, this Special Issue seeks to explore the recent advances in precision medicine for myocardial infarction and stroke. We encourage submissions that address the following topics:
- The development and validation of predictive models for myocardial infarction and stroke using diverse datasets.
- Novel prevention strategies for myocardial infarction and stroke.
- Comparative studies of traditional versus machine learning approaches in the context of myocardial infarction and stroke with the integration of gene and environmental data.
- Implementation of these models in clinical settings to optimize tertiary prevention and rehabilitation after stroke and myocardial infarction.
We look forward to receiving your contributions.
Dr. Raha Pazoki
Guest Editor
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. Healthcare is an international peer-reviewed open access semimonthly 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.
Keywords
- myocardial infarction
- stroke
- machine learning
- predictive models
- prevention strategies
- human population studies
- clinical trial data
- traditional epidemiology
- risk assessment
- data integration
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