Novel Diagnostic and Therapeutic Strategies in Cardiovascular Medicine
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Cardiology".
Deadline for manuscript submissions: 10 August 2026 | Viewed by 12
Special Issue Editors
Interests: acute heart failure; biomarker analysis; cardiomyopathies; acute myocardial infarction; interventional cardiology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cardiovascular diseases (CVDs) continue to be the leading cause of death globally, accounting for approximately 18 million deaths each year. Despite major advances in preventive cardiology and acute care, the burden of chronic cardiac conditions—such as coronary artery disease, atrial fibrillation, and heart failure—remains high. Over recent decades, scientific progress has enabled the development of novel diagnostic tools and personalized therapeutic approaches, integrating biomarkers, imaging, clinical risk scores, and digital technologies. However, real-world implementation and validation of these innovations remain a challenge, and further multidisciplinary collaboration is essential.
This Special Issue aims to highlight recent advances in diagnostic and therapeutic strategies across the cardiovascular continuum. We seek to gather original and review articles that explore both foundational research and clinical applications in cardiovascular medicine. The goal is to showcase innovative diagnostic modalities, state-of-the-art therapeutic interventions, and tools for risk prediction and stratification that are transforming current practices.
Topics of interest include, but are not limited to, the following:
- Novel biomarkers and omics technologies in cardiovascular diagnosis;
- Advanced imaging techniques (e.g., cardiac MRI, CT, 3D echocardiography);
- Risk scores and predictive algorithms for ischemic heart disease and arrhythmias;
- Interventional and pharmacological therapy innovations;
- Artificial intelligence and digital health in cardiac diagnostics and remote monitoring.
We invite contributions in the form of the following:
- Original clinical or translational research articles;
- Systematic reviews and meta-analyses;
- Narrative reviews or expert perspectives.
Submissions from multidisciplinary teams, including cardiology, radiology, biomedical engineering, and digital health experts, are especially encouraged.
Dr. Radu-Stefan Miftode
Guest Editor
Dr. Alexandru Florinel Oancea
Guest Editor Assistant
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. Medicina 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 2200 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
- cardiovascular disease
- novel biomarkers
- imaging
- risk scores
- atrial fibrillation
- coronary artery disease
- heart failure
- artificial intelligence
- clinical decision-making
- personalized medicine
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