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    Development and Evaluation of Aloperine-Loaded Nanostructured Lipid Carriers for the Treatment of Pulmonary Arterial Hypertension by Liu H, Liu S, Ma P, Ma L, Liu Y, Zhao F, Zhou R

    Published 2025-01-01
    “…Hui Liu,1,* Siyun Liu,1,* Pengsheng Ma,1 Long Ma,1 Yuxin Liu,1 Fang Zhao,2 Ru Zhou1,3,4 1School of Pharmacy, Ningxia Medical University, Yinchuan, 750004, People’s Republic of China; 2General Hospital of Ningxia Medical University, Yinchuan, 750004, People’s Republic of China; 3NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, 750004, People’s Republic of China; 4Ningxia Characteristic Traditional Chinese Medicine Modernization Engineering Technology Research Center, Ningxia Medical University, Yinchuan, 750004, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ru Zhou, School of Pharmacy, Ningxia Medical University, Xingqing, Ningxia, Yinchuan, 750004, People’s Republic of China, Email zhou-ru926@163.com Fang Zhao, General Hospital of Ningxia Medical University, Xingqing, Ningxia, Yinchuan, 750004, People’s Republic of China, Email ysj119zf@163.comObjective: This study focuses on the development and evaluation of nanostructured lipid carriers (NLCs) loaded with aloperine as a potential therapeutic approach for the treatment of pulmonary arterial hypertension.Methods: The NLCs were designed to enhance the solubility, stability, and bioavailability of aloperine, a compound with vasodilatory and anti-inflammatory properties. …”
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  5. 385

    Deep Learning for Discrimination of Early Spinal Tuberculosis from Acute Osteoporotic Vertebral Fracture on CT by Liu W, Wang J, Lei Y, Liu P, Han Z, Wang S, Liu B

    Published 2025-01-01
    “…Wenjun Liu,1 Jin Wang,2 Yiting Lei,1 Peng Liu,3 Zhenghan Han,1 Shichu Wang,1 Bo Liu1 1Department of Orthopedics, First Affiliated Hospital, Chongqing Medical University, Chongqing, People’s Republic of China; 2College of Medical Informatics, Chongqing Medical University, Chongqing, People’s Republic of China; 3Department of Orthopedics, Daping Hospital, Army Medical University, Chongqing, People’s Republic of ChinaCorrespondence: Bo Liu, Department of Orthopedics, First Affiliated Hospital, Chongqing Medical University, Chongqing, People’s Republic of China, Tel +8613996065698, Email boliu@hospital.cqmu.edu.cnBackground: Early differentiation between spinal tuberculosis (STB) and acute osteoporotic vertebral compression fracture (OVCF) is crucial for determining the appropriate clinical management and treatment pathway, thereby significantly impacting patient outcomes.Objective: To evaluate the efficacy of deep learning (DL) models using reconstructed sagittal CT images in the differentiation of early STB from acute OVCF, with the aim of enhancing diagnostic precision, reducing reliance on MRI and biopsies, and minimizing the risks of misdiagnosis.Methods: Data were collected from 373 patients, with 302 patients recruited from a university-affiliated hospital serving as the training and internal validation sets, and an additional 71 patients from another university-affiliated hospital serving as the external validation set. …”
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