Insights into Cardiovascular Diseases
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Cardiology".
Deadline for manuscript submissions: 1 November 2024 | Viewed by 5289
Special Issue Editors
Interests: preventive cardiology; epidemiology of non-communicable diseases; research in hypertension
Interests: metabolic problems; diabetes mellitus; cardiovascular risk factors; arterial hypertension; amiloidosis; osteoporosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cardiovascular medicine is changing rapidly with the development, testing and introduction of new diagnostic and therapeutic methods. The utility of the widespread advent of wearable and implantable technologies, such as those for preventing, detecting and diagnosing cardiovascular diseases, is only just being explored. New technologies and treatment algorithms are showing great promise for achieving the ultimate aim of precision cardiology, i.e., personalized care tailored to individual patients.
With precision medicine methodology cardiologists should be able to predict which patients are at risk, and intervene at the right time.
This Special Issue will highlight the latest findings in the field of cardiovascular diseases, including the pathogenesis and mechanisms underlying the development of CVD, with a particular emphasis of new techniques and methods for personalized monitoring, diagnosis and treatment, aiming to promote implementation of the latest scientific discoveries and modern technologies into clinical practice to improve patient survival and quality of life. We would like to highlight three desired publication topics:
1) Clinical and epidemiological studies and systematic reviews with a focus on the management of cardiovascular disease;
2) Scientific and clinical, from all areas of cardiovascular imaging, including echocardiography, magnetic resonance, computed tomography, nuclear and invasive imaging, and the role of invasive intravascular imaging in advancing our understanding of the pathophysiology of atherosclerosis and the role of emerging non-invasive modalities in anatomical and functional assessment of atherosclerosis;
3) The development and investigation of new CVD markers, e.g., biochemical, cellular and imaging parameters which offer further refinement.
Authors are invited to contribute reviews, original papers and case reports.
Dr. Vilnis Dzerve
Prof. Dr. Aivars Lejnieks
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 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 epidemiology
- atherosclerosis
- CVD markers
- invasive cardiology
- cardiovascular imaging
- pharmacological algorithms
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