Applications of Fluid Mechanics in Biomedical Engineering

Dear Colleagues,

Fluid dynamics has become the mainstay of transport phenomena in biomechanics and has opened up a new avenue for the development of technology-enhanced monitoring and therapeutic and diagnostic modalities in a variety of biomedical and healthcare applications. Data obtained from image-based computational and experimental biomedical flows, the majority of which cannot be assessed by standard clinical measurements, offer new possibilities for visualizing and noninvasively quantifying the pathophysiology behind a disease, such as blood flow in the circulatory system, airflow in the respiratory system, interstitial fluid flow, or mass transport in tissues. Such capabilities promise to offer key insights into disease progression and subsequent physiological responses, thus aiding in clinical decision making for various cardiovascular and respiratory diseases. They also enable objective evaluation of the safety and performance of a broad range of medical devices (artificial valves, vascular stents, circulatory assisting devices) and equipment (ventilators, infusion pumps, blood pressure monitors) that are integral parts of clinical practice.

For this Special Issue of Applied Sciences, we welcome submissions of new and innovative research work applying fluid dynamics to biomedical applications. The main topics include, but are not limited to, the following:

• Progress in computational methods and experimental techniques for in silico quantification of 4D velocity, pressure, and shear stress in vessels and airways.
• Coupling strategies for biomedical fluid–structure interaction problems where a biological fluid interacts with tissue (blood/vessel, blood/valve, air/lung, cell/platelet/blood).
• Extracting medically meaningful information from computationally and/or experimentally obtained data toward innovative physiological indices and/or biomarkers.
• Individualized virtual treatment planning and outcome prediction, such as thoracic endovascular aortic repair with a stent.
• Advances in drug delivery systems and methods, with a focus on enhancing efficiency and achieving targeted therapeutics.
• Current methods for image-based CFD with medical applications.
• Interdisciplinary approaches coupling fluid dynamics and data science (artificial intelligence, neural networks, and decision trees) for improved prediction, characterization, and decision making.

Original work highlighting the latest research and technical developments is encouraged, but review papers and comparative studies are also welcome.

Dr. Philippe Meliga
Prof. Dr. Elie Hachem
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. Applied Sciences 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 2400 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.

• computational and experimental fluid dynamics
• biomedical flows
• cardiovascular and respiratory diseases
• flow patterns and forces in patient-specific circulatory pathways
• medical imaging
• virtual treatment planning
• drug delivery
• medical imaging
• machine learning methods