Biofluid Mechanics

Condensing 40 years of teaching experience, this unique textbook will provide students with an unrivalled understanding of the fundamentals of fluid mechanics, and enable them to place that understanding firmly within a biological context. Each chapter introduces, explains, and expands a core concept in biofluid mechanics, establishing a firm theoretical framework for students to build upon in further study. Practical biofluid applications, clinical correlations, and worked examples throughout the book provide real-world scenarios to help students quickly master key theoretical topics. Examples are drawn from biology, medicine, and biotechnology with applications to normal function, disease, and devices, accompanied by over 500 figures to reinforce student understanding. Featuring over 120 multicomponent end-of-chapter problems, flexible teaching pathways to enable tailor-made course structures, and extensive Matlab and Maple code examples, this is the definitive textbook for advanced undergraduate and graduate students studying a biologically-grounded course in fluid mechanics.

Assessment of a biofluid mechanics-based model for calculating portal pressure in canines

Background Portal hypertension is a severe complication caused by various chronic liver diseases. The standard methods for detecting portal hypertension (hepatic venous pressure gradient and free portal pressure) are available in only a few hospitals due to their technical difficulty and invasiveness; thus, non-invasive measuring methods are needed. This study aimed to establish and assess a novel model to calculate free portal pressure based on biofluid mechanics. Result Comparison of each dog’s virtual and actual free portal pressure showed that a biofluid mechanics-based model could accurately predict free portal pressure (mean difference: -0.220, 95% CI: − 0.738 to 0.298; upper limit of agreement: 2.24, 95% CI: 1.34 to 3.14; lower limit of agreement: -2.68, 95% CI: − 3.58 to − 1.78; intraclass correlation coefficient: 0.98, 95% CI: 0.96 to 0.99; concordance correlation coefficient: 0.97, 95% CI: 0.93 to 0.99) and had a high AUC (0.984, 95% CI: 0.834 to 1.000), sensitivity (92.3, 95% CI: 64.0 to 99.8), specificity (91.7, 95% CI: 61.5 to 99.8), positive likelihood ratio (11.1, 95% CI: 1.7 to 72.8), and low negative likelihood ratio (0.08, 95% CI: 0.01 to 0.6) for detecting portal hypertension. Conclusions Our study suggests that the biofluid mechanics-based model was able to accurately predict free portal pressure and detect portal hypertension in canines. With further research and validation, this model might be applicable for calculating human portal pressure, detecting portal hypertensive patients, and evaluating disease progression and treatment efficacy.

Establishment and assessment of the hepatic venous pressure gradient using biofluid mechanics (HVPGBFM): protocol for a prospective, randomised, non-controlled, multicentre study

IntroductionPortal hypertension (PH) is a severe disease with a poor outcome. Hepatic venous pressure gradient (HVPG), the current gold standard to detect PH, is available only in few hospitals due to its invasiveness and technical difficulty. This study aimed to establish and assess a novel model to calculate HVPG based on biofluid mechanics.Methods and analysisThis is a prospective, randomised, non-controlled, multicentre trial. A total of 248 patients will be recruited in this study, and each patient will undergo CT, blood tests, Doppler ultrasound and HVPG measurement. The study consists of two independent and consecutive cohorts: original cohort (124 patients) and validation cohort (124 patients). The researchers will establish and improve the HVPG using biofluid mechanics (HVPGBFM)model in the original cohort and assess the model in the validation cohort.Ethics and disseminationThe study was approved by the Scientific Research Projects Approval Determination of Independent Ethics Committee of Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine (approval number 2017–430 T326). Study findings will be disseminated through peer-reviewed publications and conference presentations.Trial registration numberNCT03470389.

A Course-Based Undergraduate Research Experience in Biofluid Mechanics

Course-based undergraduate research experiences (CURE) are a valuable tool to increase research exposure for larger undergraduate cohorts. We implemented a CURE within a senior-level biofluid mechanics course that was primarily taught using a flipped classroom approach. Due to the large class size, the students analyzed data that was publicly available and produced by one of our laboratories. Student teams then developed hypotheses based on the data analysis and designed a set of in vitro and in vivo experiments to test those hypotheses. The hypotheses and experiments that were most highly rated by the class were then tested in our laboratory. At the end of the class, student gains were assessed by self-report and compared to those self-reported by students engaging in a traditional freshman undergraduate summer research experience. While the students in the CURE reported moderate gains in self-assessment of research-based skills, their self-reported gains were statistically significantly lower than those reported by students who participated in the traditional research experience. We believe that the CURE could be improved through implementation in a lower level class, enabling students to observe laboratory experiments, and providing additional feedback throughout the hypothesis development and experimental design process. Overall, the CURE is an innovative way to expand research experiences, in particular for engineering students who often do not participate in hypothesis-driven research during their undergraduate education.