Pathology–Therapeutics–Medicine of Vascular and Respiratory Diseases: Recent Progress Using CFD and AI
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 932
Special Issue Editors
Interests: computational and experimental fluid dynamics; biofluidic and biomechanics; particle image velocimetry; multiphase flow modeling; fluid–solid interaction modeling; discrete phase models; non-Newtonian fluid modeling; fire models; machine learning and deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: computational fluid particle dynamics; advanced numerical methods; noninvasive pulmonary disease diagnosis and treatment; multiphase flow modeling; pharmaceutical continuous manufacturing; flowsheet modeling
Special Issue Information
Dear Colleagues,
Vascular and respiratory diseases are two leading causes of death worldwide, and it has been widely recognized that fluid transport phenomena, including the synergistic study of mass, momentum, heat transfer, thermodynamics and the kinetics of chemical reactions, have key roles in investigating the mechanisms of pathophysiology–therapeutics–medicine for such diseases. As a noninvasive and promising alternative, mathematical models and computational methods can help us greatly in understanding these complicated pathological mechanisms and therapeutic strategies, bridging the gap from lab to clinic and building future digital twin systems. Contributions including case studies, original and unpublished research, and systematic reviews within this scope are welcome, including preliminary studies of model construction and developments and applications of novel computational/mathematical methods/AI algorithms. Other on-site/ in vivo/in vitro experimental contributions supporting, developing, and validating the associated numerical methods and models are also welcome.
Dr. Hang Yi
Dr. Jianan Zhao
Guest Editors
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Keywords
- biofluids
- biomechanics
- drug delivery
- medical device
- pathophysiology
- intervention
- therapeutics
- medicine
- hemodynamics
- neurovascular and cardiovascular diseases
- respiratory airway diseases
- computational fluid dynamics
- multiphase/multispecies flow modeling
- physiologically based pharmacokinetic/toxicokinetic models
- machine learning and deep learning in healthcare
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