LIUJIE CHEN^1,#, LILI DUAN^1,2,#, JIA LI^1,2, JUN CHEN^1,2, DUANFANG LIAO³, NONGYUE HE⁴, KAI LI^1,3, ZHENG HU^1,2,*

BIOCELL, Vol.49, No.1, pp. 21-43, 2025, DOI:10.32604/biocell.2024.056698 - 24 January 2025

Abstract Nucleic acid analysis is a key technique that enables accurate detection of various microorganisms. Conventional nucleic acid testing typically requires access to specialized laboratories, equipment, and trained personnel, which hinders the widespread use of on-site testing for DNA and RNA targets. However, integrating gene editing technology with traditional nucleic acid detection methods, especially isothermal amplification technology, can help overcome the limitations associated with on-site testing. This combination can accomplish precise and swift detection of nucleic acid sequences, offering a robust tool for on-site detection. The Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated proteins (CRISPR/Cas) technology, which More >

Bhawna Goyal¹, Ayush Dogra², Dawa Chyophel Lepcha¹, Rajesh Singh³, Hemant Sharma⁴, Ahmed Alkhayyat⁵, Manob Jyoti Saikia^6,*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 4317-4342, 2024, DOI:10.32604/cmc.2024.047256 - 26 March 2024

Abstract Multimodal medical image fusion has attained immense popularity in recent years due to its robust technology for clinical diagnosis. It fuses multiple images into a single image to improve the quality of images by retaining significant information and aiding diagnostic practitioners in diagnosing and treating many diseases. However, recent image fusion techniques have encountered several challenges, including fusion artifacts, algorithm complexity, and high computing costs. To solve these problems, this study presents a novel medical image fusion strategy by combining the benefits of pixel significance with edge-preserving processing to achieve the best fusion performance. First,… More >

Jinyang Liu^1,#, Bo Peng^1,#, Xianchao Jiang^1,#, Simeng Zhang¹, Jiachen Li¹, Lizhi Lv¹, Qiang Wang^1,2,*, Xiang Li^3,*

Congenital Heart Disease, Vol.16, No.1, pp. 65-72, 2021, DOI:10.32604/CHD.2021.013462 - 23 December 2020

Abstract Background: This study aims to explore the efficacy of selective unifocalization (UF) for major aortopulmonary collateral arteries (MAPCAs) unifocalization in children with pulmonary atresia with ventricular septal defect (PA/VSD). Methods: A retrospective analysis of 13 patients with PA/VSD/MAPCAs who underwent surgery from June 2017 to December 2019. Sex, age, preoperative cardiovascular angiography test results and McGoon ratio were collected. The properties of the collateral arteries were evaluated by angiography, and selective UF for the “dendritic” MAPCAs and ligation of MAPCAs demonstrating distortion and resistance. Results: A total of 13 severe patients underwent one-stage repair, of which 1 More >

Shengxian Tu^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.1, pp. 15-16, 2019, DOI:10.32604/mcb.2019.05704

Abstract Coronary artery disease (CAD) is the leading cause of mortality and morbidity worldwide. It is the disease of the blood vessels supplying the heart muscle. The fatty plaques built within the walls of the coronary arteries might rupture, creating a thrombus, thereby blocking the entire flow through the vessel, which is followed by a heart attack. Patients who suffer from CAD with documented ischemia are predominately sent to the catheterization laboratory for an invasive procedure (PCI, or percutaneous coronary intervention) to open the vessel by the placement of a “stent” as a scaffolding device to… More >

Dalin Tang^1,2,*, Zhiyong Li¹

CMES-Computer Modeling in Engineering & Sciences, Vol.116, No.2, pp. 109-113, 2018, DOI:10.31614/cmes.2018.04201

Abstract This article has no abstract. More >

Dalin Tang¹, Chun Yang², Pedro N. del Nido³, Tal Geva³, Chun Yuan⁴, Tom Hatsukami⁵, Fei Liu⁴, Jie Zheng⁶, Pamela K. Woodard⁶

The International Conference on Computational & Experimental Engineering and Sciences, Vol.1, No.1, pp. 1-6, 2007, DOI:10.3970/icces.2007.001.001

Abstract Image-based computational models for blood flow in the heart and diseased arteries have been developed for disease assessment and potential clinical applications. Models with fluid-structure interactions for human right ventricle (RV) remodeling surgery design, carotid and coronary atherosclerotic plaques and abdominal aortic aneurysm (AAA) were presented. Organ morphology, material properties, governing equations, proper initial and boundary conditions, controlling factors and research focuses for each model were discussed. More >