Aims and Scope
Advanced Enhancement Techniques for Breast Cancer Classification in Mammographic ImagesSara EL. Mohamed, Wael A. Mohamed, Mohamed B. Abdelhalim and Khaled EL. Ahmed
The Open Biomedical Engineering Journal, 2022; 16: e187412072209200.
Electronic Publication Date: December 01, 2022
Online Seizure Prediction System: A Novel Probabilistic Approach for Efficient Prediction of Epileptic Seizure with iEEG SignalBehrooz Abbaszadeh, Cesar A. D. Teixeira and Mustapha C.E. Yagoub
The Open Biomedical Engineering Journal, 2022; 16: e187412072208300.
Electronic Publication Date: November 22, 2022
Biomimetic Strategies to Develop Bioactive Scaffolds for Myocardial Tissue EngineeringElisabetta Rosellini and Maria Grazia Cascone
The Open Biomedical Engineering Journal, 2022; 16: e187412072205090.
Electronic Publication Date: July 18, 2022
Corrigendum to: Improving Classification Accuracy of Pulmonary Nodules using Simplified Deep Neural NetworkShital D. Bhatt and Himanshu B. Soni
The Open Biomedical Engineering Journal, 2022; 16: e187412072206030.
Electronic Publication Date: June 15, 2022
Monitoring of Surgical Wounds with Purely Textile, Measuring Wound Pads – II. Detection of Bacterial Inflammation by Measurement of Wound Tissue TemperatureHarald Pötzschke and Kai-Uwe Zirk
The Open Biomedical Engineering Journal, 2022; 16: e187412072202180.
Electronic Publication Date: April 26, 2022
In vitro Biomodels in Stenotic Arteries to Perform Blood Analogues Flow Visualizations and Measurements: A ReviewVioleta Carvalho, Inês Maia, Andrews Souza, João Ribeiro, Pedro Costa, H. Puga, Senhorinha Teixeira, Rui A. Lima
Cardiovascular diseases are one of the leading causes of death globally and the most common pathological process is atherosclerosis. Over the years, these cardiovascular complications have been extensively studied by applying in vivo, in vitro and numerical methods (in silico). In vivo studies represent more accurately the physiological conditions and provide the most realistic data. Nevertheless, these approaches are expensive, and it is complex to control several physiological variables. Hence, the continuous effort to find reliable alternative methods has been growing. In the last decades, numerical simulations have been widely used to assess the blood flow behavior in stenotic arteries and, consequently, providing insights into the cardiovascular disease condition, its progression and therapeutic optimization. However, it is necessary to ensure its accuracy and reliability by comparing the numerical simulations with clinical and experimental data. For this reason, with the progress of the in vitro flow measurement techniques and rapid prototyping, experimental investigation of hemodynamics has gained widespread attention. The present work reviews state-of-the-art in vitro macro-scale arterial stenotic biomodels for flow measurements, summarizing the different fabrication methods, blood analogues and highlighting advantages and limitations of the most used techniques.
December 31, 2020