Pathogenesis, Diagnosis and Prognosis of Cardiovascular Diseases
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 55
Special Issue Editor
Interests: heart failure; ischemic coronary disease; advanced echocardiography; cardiac imaging; myocardial dysfunction; clinical significance of basic science; innovative diagnostic tools
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cardiovascular diseases (CVDs) represent a persistent and growing challenge in global health, remaining a leading cause of morbidity and mortality. To address this issue, a deeper understanding of their pathogenesis, as well as advancements in diagnostic tools and prognostic models, is critical for improving patient outcomes. This Special Issue, titled “Pathogenesis, Diagnosis and Prognosis of Cardiovascular Diseases”, will provide a platform for showcasing the latest research at the intersection of molecular mechanisms, clinical diagnosis, and outcome prediction. This Special Issue will focus on elucidating the biological pathways that underlie the development and progression of CVDs, while also exploring novel diagnostic methods, such as advanced imaging and biomarker discovery, that enhance early detection and intervention. Furthermore, innovative prognostic models and personalized therapeutic strategies will be highlighted, offering insights into the future of cardiovascular disease management.
We encourage the submission of original research articles and reviews that delve into the following topics:
- Molecular and cellular mechanisms contributing to CVD pathogenesis;
- Emerging biomarkers and imaging technologies for early and accurate diagnosis;
- Predictive models for disease progression and individualized treatment;
- The impact of inflammation, metabolic dysregulation, and genetic factors on cardiovascular outcomes;
- Therapeutic interventions designed to reduce long-term cardiovascular risk.
This Special Issue will present a comprehensive collection of studies bridging experimental findings with clinical applications, thereby advancing both our theoretical understanding and practical management of cardiovascular diseases. Important, novel, and interesting short communications and interesting images will also be considered. I look forward to receiving your contributions.
Dr. Cristian Mornos
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. Diagnostics 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 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.
Keywords
- inflammation and genetic factors
- diagnostic biomarkers
- advanced cardiac imaging
- prognostic models
- cardiometabolic dysfunction
- personalized therapeutics
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