Call for papers: Mechanics and fluid dynamics in cardiovascular disease

BMC Cardiovascular Disorders warmly welcomes submissions to its new Collection on mechanics and fluid dynamics in cardiovascular disease
Call for papers: Mechanics and fluid dynamics in cardiovascular disease
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

BMC Cardiovascular Disorders is calling for submissions to our Collection on Mechanics and fluid dynamics in cardiovascular disease. The study of cardiovascular mechanics and blood flow dynamics can help us understand the mechanisms underlying various cardiovascular diseases, including atherosclerosis, aneurysms, valve dysfunction and heart failure. 

This approach can address numerous challenges in cardiovascular medicine, including the detection of early-stage disease, risk stratification, the replacement of invasive techniques, and the need for patient-specific treatment planning. However, advances are needed to improve data assimilation methods, model accuracy, reduce the computational complexity of fluid dynamic simulations, and the implementation of flow-related biomarkers of disease into the clinic. 

To help address this need and support SDG 3: Good Health and Wellbeing, BMC Cardiovascular Disorders invites authors to submit articles applying mechanics and fluid dynamics principles in cardiovascular research and medicine.

Meet the Guest Editors

Francesco Capuano: Polytechnic University of Catalonia - Barcelona Tech, Spain

Dr Francesco Capuano is an Assistant Professor in the Department of Fluid Mechanics at the Universitat Politècnica de Catalunya · BarcelonaTech (UPC). He received a PhD in Engineering from the University of Naples “Federico II” in 2015. His research is focused on developing high-fidelity and robust computational techniques for modeling and analysis of multiscale, multiphysics problems in engineering and biological systems. Particular emphasis is given to scale-resolving and physics compatible simulations of turbulent flows, cardiovascular biomechanics, and biological fluid dynamics. He has long-standing collaborations with clinical cardiologists aimed at identifying novel diagnostic and prognostic biomarkers of disease based on advanced blood flow analysis.

Isabella Leo: Magna Graecia University of Catanzaro, Italy

Dr Isabella Leo, MD, Cardiologist, PhD is currently a Research Associate in Cardiology at Magna Graecia University of Catanzaro, Italy. Her PhD project focused on a novel non-invasive quantification tool of intracardiac fluid dynamics. She has a special interest in multi-modality cardiovascular imaging and particularly in advanced echocardiography and cardiovascular magnetic resonance. She has been a clinical fellow in MRI for two years at Royal Brompton and Harefield Hospital, London and she has currently ongoing scientific collaborations with the CMR Department of the Royal Brompton and Harefield Hospitals. 

Submission Guidelines

This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Mechanics and fluid dynamics in cardiovascular disease" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.

Submission Status: Open   |   Submission Deadline: 28 May 2024

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Follow the Topic

Cardiovascular Diseases
Life Sciences > Health Sciences > Clinical Medicine > Diseases > Cardiovascular Diseases
Health Care
Life Sciences > Health Sciences > Health Care

Related Collections

With Collections, you can get published faster and increase your visibility.

Social and economic factors in cardiovascular disease and disorders

BMC Cardiovascular Disorders is calling for submissions to our Collection, Social and economic factors in cardiovascular disease and disorders. Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality worldwide, with a significant proportion of their burden in low- and middle-income countries and attributable to social and economic factors. This Collection aims to explore how social and economic variables such as income, education, employment status, healthcare infrastructure and social support systems contribute to the prevalence and outcomes of cardiovascular disorders. By understanding these factors and limitations, we can better address the disparities in health outcomes experienced by different populations towards developing targeted policy changes.

Topics of interest for this Collection include but are not limited to:

-

The role of socioeconomic status in cardiovascular health

-

Social determinants of cardiovascular disease risk

-

Access to healthcare and cardiovascular outcomes

-

Interventions addressing health disparities in CVD

-

Guideline adaptation for limited-resource settings

This Collection supports and amplifies research related to SDG 1: No Poverty, SDG 3: Good Health and Well Being, SDG 8: Decent work and economic growth, and SDG 10: Reduced Inequalities.

Publishing Model: Open Access

Deadline: Jul 30, 2026

Surgical advancements in cardiology

BMC Cardiovascular Disorders is calling for submissions to our Collection on Surgical advancements in cardiology. The field of cardiology has witnessed remarkable progress in surgical interventions over the past few decades, transforming the landscape of cardiovascular care. Innovations in techniques, technologies, and devices have enabled clinicians to perform complex heart surgeries with increased precision and reduced recovery times. Minimally invasive procedures, robotic-assisted surgeries, and advanced imaging modalities are just a few examples of how surgical practice in cardiology has evolved. As we continue to understand the intricacies of cardiovascular diseases, it is imperative to examine the various surgical advancements that have emerged, along with their implications for patient outcomes.

Research in this area is crucial, as advancements in heart surgery not only improve survival rates but also enhance the quality of life for patients suffering from cardiovascular conditions. The introduction of new materials, such as bioresorbable stents and grafts, and techniques like transcatheter valve replacement has revolutionized the way we approach heart disease. Moreover, understanding the risks and benefits associated with these innovations is vital to guiding clinical decision-making and ensuring patient safety.

As research in surgical advancements continues to progress, we can anticipate further breakthroughs that could redefine cardiovascular treatment. Future developments may include the integration of artificial intelligence in surgical planning and execution, personalized surgical techniques tailored to individual patient anatomy, and improved biocompatibility of devices. These advances hold the promise of enhancing surgical outcomes, minimizing complications, and ultimately paving the way for more effective and safer treatments in cardiology.

Topics of interest include but are not limited to:

-

Innovations in minimally invasive heart surgery

-

Robotic-assisted surgical techniques in cardiology

-

Evaluating risks associated with surgical interventions

-

Alternatives to traditional heart surgery

Publishing Model: Open Access

Deadline: Mar 12, 2026