Article
Computer Science, Information Systems
Wanqing Gao, Ning Cheng, Guojiang Xin, Sommai Khantong, Changsong Ding
Summary: This paper introduces a deep learning-based feature extraction method (TCM2Vec) for better feature extraction and efficacy prediction of traditional Chinese medicine formulas. By combining relationships and medicinal characteristics, deep feature extraction is performed using two detached encoders, leading to improved accuracy in efficacy prediction of TCM formulas.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Clinical Neurology
Song Li, Zhengzhi Wu, Weidong Le
Summary: In Western medicine, dementia affects cognition, mental health, and physical abilities, while Traditional Chinese Medicine explains it from the perspectives of brain dystrophy, Spleen-Kidney weakness, Blood stasis, and Phlegm stagnation. Ancient Chinese physicians believed that dementia manifests not only as cognitive symptoms but also as psychiatric disorders and sleep disturbance, offering various treatment methods.
ALZHEIMERS & DEMENTIA
(2021)
Article
Multidisciplinary Sciences
Minghua Zhou
Summary: The allocation of health resources in Traditional Chinese Medicine (TCM) shows inequality, with disparities mainly within regions.
Review
Pharmacology & Pharmacy
Chang-hua Zhang, Jun-qing Sheng, Wei-hua Xie, Xiao-quan Luo, Ya-nan Xue, Guo-Liang Xu, Chen Chen
Summary: The incidences of obesity and related metabolic disorders have increased dramatically worldwide. Dampness-heat syndrome in traditional Chinese medicine plays a crucial role in clinical treatment, with hypoxia and inflammation being key pathophysiological characteristics of this syndrome. The modernization of traditional Chinese medicine theories is promoted by applying modern Western medicine theories to explain these pathophysiological mechanisms.
FRONTIERS IN PHARMACOLOGY
(2021)
Review
Multidisciplinary Sciences
Xia Ren, Chun-Xiao Yan, Run-Xiang Zhai, Kuo Xu, Hui Li, Xian-Jun Fu
Summary: Traditional Chinese medicine (TCM) is limited in clinical application due to the difficulty in elucidating effective substances and lack of scientific evidence. Network pharmacology based on drug systems research provides a new approach for understanding TCM's complex systems. This review introduces commonly used web tools for compound-target interaction prediction in TCM pharmacology research and compares and analyzes their basic properties.
Review
Pharmacology & Pharmacy
Lei Li, Man Wang, Jikuai Chen, Juelin Chen, Yawei Wang, Minghao Zhao, Qing Song, Shuogui Xu
Summary: As global warming continues, heat waves are becoming more frequent and intense, leading to an increase in the incidence of heat stroke. Heat stroke is associated with significant morbidity and mortality, and further research is urgently needed to address this issue. Traditional Chinese medicine offers potential treatment methods, including herbal therapies and external treatments, which may provide clinical benefits and research directions for heat stroke.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Pharmacology & Pharmacy
Ye Gu, Yu-Tung Lai, Fang-Rong Chang, Chung-Yu Chen
Summary: This study evaluated patterns of traditional Chinese medicine (TCM) utilization and clinical features in IBS patients in Taiwan. The findings showed that females were more likely to use TCM for IBS than males. Chinese herbal medicine (CHM) was the most commonly used TCM modality, with Jia-wei-xiao-yao-san being the most frequently prescribed Chinese herbal formula and Bai-zhu being the most frequently prescribed single Chinese herb.
FRONTIERS IN PHARMACOLOGY
(2023)
Article
Pharmacology & Pharmacy
Junjie Lan, Caiming Wu, Wen'na Liang, Jianying Shen, Zewei Zhuo, Liu Hu, Luwei Ruan, Pengheng Zhang, Xiangrong Ye, Leqin Xu, Chengfu Li, Shengyuan Lin, Chuanhui Yang, Siqi Wu, Yingjun Dong, Haixia Ren, Huiying Huang, Bizhen Gao, Hongwei Yao, Tianwei Lin, Xueqin Chen, Candong Li
Summary: Traditional Chinese formulas of botanical drugs can moderately attenuate the metabolomic state of perimenopausal syndrome (PMS) in rats, with the best outcome achieved by combining two different etiologies. This new paradigm for phytotherapy of PMS focuses on adjusting the metabolomic state rather than regulating estrogen levels.
FRONTIERS IN PHARMACOLOGY
(2021)
Article
Multidisciplinary Sciences
Xingjian Chen, Zifan Zhu, Weitong Zhang, Yuchen Wang, Fuzhou Wang, Jianyi Yang, Ka-Chun Wong
Summary: Predicting human diseases from microbiome data is important in medical applications. Existing methods often overlook the abundance profiles of known and unknown microbial organisms, as well as the taxonomic relationships among them, resulting in information loss. To address these issues, we developed a comprehensive machine learning framework called MetaDR that combines deep learning and various information sources to predict human diseases.
Review
Integrative & Complementary Medicine
Shu-jun Wei, Qing-man He, Qing Zhang, Kang-hua Fu, Ruo-lan Li, Wei Peng, Yong-xiang Gao
Summary: Primary Sjogren's syndrome is a chronic autoimmune disease involving exocrine glands, and traditional Chinese medicines have been investigated for their treatment effects on this syndrome. These medicines are used in various ways, such as upregulation of aquaporin proteins, suppression of cell apoptosis, and suppression of abnormal activation of T and B lymphocytes. However, more research is needed on the active constituents, quality control, pharmacokinetics, toxicity, and modern preparations of these traditional Chinese medicines.
JOURNAL OF INTEGRATIVE MEDICINE-JIM
(2021)
Article
Plant Sciences
Wei Zhuang, Shao-Li Liu, Sheng-Yan Xi, Ying-Nan Feng, Ke Wang, Teliebald Abduwali, Ping Liu, Xiao-Jiang Zhou, Lan Zhang, Xian-Zhe Dong
Summary: This article summarizes the frequently used traditional Chinese medicine decoctions and Chinese patent medicines for treating depression, reviews their clinical therapeutic effects and possible mechanisms, and highlights the importance of traditional Chinese medicine in the management of depression.
JOURNAL OF ETHNOPHARMACOLOGY
(2023)
Review
Pharmacology & Pharmacy
Xue Bai, Meng Zhang
Summary: Research has shown that traditional Chinese medicine has a clinical impact on vascular dementia, improving patients' cognitive function and quality of life. The pharmacological mechanisms of TCM for VD treatment include targeting the kidneys, eliminating turbidity, and promoting blood circulation, indicating promising prospects.
FRONTIERS IN PHARMACOLOGY
(2021)
Review
Pharmacology & Pharmacy
Chao Mo, Jie Zhao, Jingyan Liang, Huiling Wang, Yu Chen, Guodong Huang
Summary: Exosomes play a crucial role in intercellular communication, and the interaction between exosomes and traditional Chinese medicine (TCM) has beneficial effects on various diseases. TCM formulas and compounds can modulate exosomes to inhibit cell proliferation, reduce inflammation, and attenuate fibrosis. Additionally, exosomes serve as a natural delivery system for TCM compounds, and they may also be potential biomarkers for TCM syndromes.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Chemistry, Medicinal
Sherwin S. S. Ng, Yunpeng Lu
Summary: Oral bioavailability is an important pharmacokinetic property in drug discovery. Computational models using molecular descriptors, fingerprints, and machine-learning have been developed, but determining the right molecular descriptors requires domain expert knowledge and time for feature selection. Graph neural networks (GNN) can automatically extract important features, and in this study, we used GNN's automatic feature selection to predict oral bioavailability. By utilizing transfer learning and pre-training a model to predict solubility, we achieved improved prediction performance with average accuracy of 0.797, F1 score of 0.840, and AUC-ROC of 0.867, outperforming previous studies on predicting oral bioavailability with the same test data set.
JOURNAL OF CHEMICAL INFORMATION AND MODELING
(2023)
Article
Biochemical Research Methods
Yuantong Li, Fei Wang, Mengying Yan, Edward Cantu, Fan Nils Yang, Hengyi Rao, Rui Feng
Summary: In this article, a novel neural network model called peel learning is proposed for gene expression studies, showing improved prediction accuracy compared to traditional regression models and other deep learning methods. The model effectively incorporates the prior relationship among genes and simplifies the overall structure while optimizing weight parameters through a revised backpropagation algorithm, demonstrating advantages in small sample size studies.
Article
Chemistry, Multidisciplinary
Xu-dong Hu, Shi-li Jiang, Cheng-hai Liu, Yi-yang Hu, Cheng Liu, Ming-yu Sun, Gao-feng Chen, Ping Liu
ACTA PHARMACOLOGICA SINICA
(2010)
Article
Integrative & Complementary Medicine
Jin-Xing Du, Ming-Yu Sun, Guang-Li Du, Feng-Hua Li, Cheng Liu, Yong-Ping Mu, Gao-Feng Chen, Ai-Hua Long, Yan-Qin Bian, Jia Liu, Cheng-Hai Liu, Yi-Yang Hu, Lie-Ming Xu, Ping Liu
BMC COMPLEMENTARY AND ALTERNATIVE MEDICINE
(2012)
Review
Integrative & Complementary Medicine
Liu Ping
CHINESE JOURNAL OF INTEGRATIVE MEDICINE
(2012)
Article
Integrative & Complementary Medicine
Hua Zhang, Hua Lv, Pin-Xian Huang, Yan Lin, Xin-Cai Hu, Ping Liu
EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE
(2012)
Review
Integrative & Complementary Medicine
Mingyu Sun, Hongyan Cao, Lin Sun, Shu Dong, Yanqin Bian, Jun Han, Lijun Zhang, Shuang Ren, Yiyang Hu, Chenghai Liu, Lieming Xu, Ping Liu
EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE
(2012)
Article
Gastroenterology & Hepatology
Yue-Lei Chen, Jing Lv, Xiao-Lei Ye, Ming-Yu Sun, Qin Xu, Cheng-Hai Liu, Li-Hua Min, Hui-Ping Li, Ping Liu, Xiaoyan Ding
Article
Chemistry, Organic
Wen-Wei Fu, Chang-Heng Tan, Peng-Yu Zhuang, Shu-Min Yang, Hong-Feng Luo, Jun-Jie Tan, Ping Liu, Da-Yuan Zhu
Article
Plant Sciences
Mu Yongping, Liu Ping, Du Guangli, Du Jinxing, Wang Gaoqiang, Long Aihua, Wang Lei, Li Fenghua
JOURNAL OF ETHNOPHARMACOLOGY
(2009)
Article
Plant Sciences
K. F. Cheung, D. W. Ye, Z. F. Yang, L. Lu, C. H. Liu, X. L. Wang, R. T. P. Poon, Y. Tong, P. Liu, Y. C. Chen, George K. K. Lau
JOURNAL OF ETHNOPHARMACOLOGY
(2009)
Article
Biochemical Research Methods
Xiaoning Wang, Xiaoyan Wang, Guoxiang Xie, Mingmei Zhou, Huan Yu, Yan Lin, Guangli Du, Guoan Luo, Wei Jia, Ping Liu
JOURNAL OF PROTEOME RESEARCH
(2012)
Article
Medicine, Research & Experimental
Cheng Liu, Qing Tao, Mingyu Sun, Jim Z. Wu, Wengang Yang, Ping Jian, Jinghua Peng, Yiyang Hu, Chenghai Liu, Ping Liu
LABORATORY INVESTIGATION
(2010)
Article
Biochemical Research Methods
Tianlu Chen, Guoxiang Xie, Xiaoying Wang, Jia Fan, Yunping Qiu, Xiaojiao Zheng, Xin Qi, Yu Cao, Mingming Su, Xiaoyan Wang, Lisa X. Xu, Yun Yen, Ping Liu, Wei Jia
MOLECULAR & CELLULAR PROTEOMICS
(2011)
Article
Biochemistry & Molecular Biology
Wen-Wei Fu, Jin-Nan Fu, Wen-Meng Zhang, Li-Xin Sun, Yue-Hu Pei, Ping Liu
Article
Gastroenterology & Hepatology
Hui Zhang, Qing-Ya Li, Zhi-Zhong Guo, Yan Guan, Jia Du, Yi-Yu Lu, Yi-Yang Hu, Ping Liu, Shuang Huang, Shi-Bing Su
WORLD JOURNAL OF GASTROENTEROLOGY
(2012)
Article
Gastroenterology & Hepatology
Xiao-Ling Wang, Dong-Wei Jia, Hui-Yang Liu, Xiao-Feng Yan, Ting-Jie Ye, Xu-Dong Hu, Bo-Qin Li, Yong-Liang Chen, Ping Liu
WORLD JOURNAL OF GASTROENTEROLOGY
(2012)
Article
Computer Science, Interdisciplinary Applications
Alireza Karimi, Reza Razaghi, Siddharth Daniel D'costa, Saeed Torbati, Sina Ebrahimi, Seyed Mohammadali Rahmati, Mary J. Kelley, Ted S. Acott, Haiyan Gong
Summary: This study investigated the biomechanical properties of the conventional aqueous outflow pathway using fluid-structure interaction. The results showed that the distribution of aqueous humor wall shear stress within this pathway is not uniform, which may contribute to our understanding of the underlying selective mechanisms.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Robert V. Bergen, Jean-Francois Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng
Summary: This article introduces a 3D generative model called TrGAN, which can generate medical images with important features and statistical properties while protecting privacy. By evaluating through a membership inference attack, the fidelity, utility, and privacy trade-offs of the model were studied.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Hoda Mashayekhi, Mostafa Nazari, Fatemeh Jafarinejad, Nader Meskin
Summary: In this study, a novel model-free adaptive control method based on deep reinforcement learning (DRL) is proposed for cancer chemotherapy drug dosing. The method models the state variables and control action in their original infinite spaces, providing a more realistic solution. Numerical analysis shows the superior performance of the proposed method compared to the state-of-the-art RL-based approach.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Hao Sun, Bao Li, Liyuan Zhang, Yanping Zhang, Jincheng Liu, Suqin Huang, Xiaolu Xi, Youjun Liu
Summary: In cases of moderate stenosis in the internal carotid artery, the A1 segment of the anterior cerebral artery or the posterior communicating artery within the Circle of Willis may show a hemodynamic environment with high OSI and low TAWSS, increasing the risk of atherosclerosis development and stenosis in the CoW.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ilaria Toniolo, Paola Pirini, Silvana Perretta, Emanuele Luigi Carniel, Alice Berardo
Summary: This study compared the outcomes of endoscopic sleeve gastroplasty (ESG) and laparoscopic sleeve gastrectomy (LSG) in weight loss surgery using computational models of specific patients. The results showed significant differences between the two procedures in terms of stomach volume reduction and mechanical stimulation. A predictive model was proposed to support surgical planning and estimation of volume reduction after ESG.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chun-You Chen, Ya-Lin Chen, Jeremiah Scholl, Hsuan-Chia Yang, Yu-Chuan (Jack) Li
Summary: This study evaluated the overall performance of a machine learning-based CDSS (MedGuard) in triggering clinically relevant alerts and intercepting inappropriate drug errors and LASA drug errors. The results showed that MedGuard has the ability to improve patients' safety by triggering clinically valid alerts.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Lingzhi Tang, Xueqi Wang, Jinzhu Yang, Yonghuai Wang, Mingjun Qu, HongHe Li
Summary: In this paper, a dynamical local feature fusion net for automatically recognizing aortic valve calcification (AVC) from echocardiographic images is proposed. The network segments high-echo areas and adjusts the selection of local features to better integrate global and local semantic representations. Experimental results demonstrate the effectiveness of the proposed approach.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
You-Lei Fu, Wu Song, Wanni Xu, Jie Lin, Xuchao Nian
Summary: This study investigates the combination of surface electromyographic signals (sEMG) and deep learning-based CNN networks to study the interaction between humans and products and the impact on body comfort. It compares the advantages and disadvantages of different CNN networks and finds that DenseNet has unique advantages over other algorithms in terms of accuracy and ease of training, while mitigating issues of gradient disappearance and model degradation.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kroeninger, Jan Egger, Jens Kleesiek
Summary: In this study, a deep learning-based skull stripping algorithm for MRI was proposed, which works directly in the complex valued k-space and preserves the phase information. The results showed that the algorithm achieved similar results to the ground truth, with higher accuracy in the slices above the eye region. This approach not only preserves valuable information for further diagnostics, but also enables immediate anonymization of patient data before being transformed into the image domain.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ziyang Chen, Laura Cruciani, Elena Lievore, Matteo Fontana, Ottavio De Cobelli, Gennaro Musi, Giancarlo Ferrigno, Elena De Momi
Summary: In this paper, a deep learning-based approach is proposed to recover 3D information of intra-operative scenes, which can enhance the safety of robot-assisted surgery by implementing depth estimation using stereo images.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ao Leng, Bolun Zeng, Yizhou Chen, Puxun Tu, Baoxin Tao, Xiaojun Chen
Summary: This study presents a novel training system for zygomatic implant surgery, which offers a more realistic simulation and training solution. By integrating visual, haptic, and auditory feedback, the system achieves global rigid-body collisions and soft tissue simulation, effectively improving surgeons' proficiency.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Yingjie Wang, Xueqing Yin
Summary: This study developed an integrated computational model combining coronary flow and myocardial perfusion models to achieve physiologically accurate simulations. The model has the potential for clinical application in diagnosing insufficient myocardial perfusion.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Nitzan Avidan, Moti Freiman
Summary: This study aims to enhance the generalization capabilities of DNN-based MRI reconstruction methods for undersampled k-space data. By introducing a mask-aware DNN architecture and training method, the under-sampled data and mask are encoded within the model structure, leading to improved performance. Rigorous testing on the widely accessible fastMRI dataset reveals that this approach demonstrates better generalization capabilities and robustness compared to traditional DNN methods.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Enhao Zhang, Saeed Miramini, Lihai Zhang
Summary: This study investigates the combined effects of osteoporosis and diabetes on fracture healing process by developing numerical models. The results show that osteoporotic fractures have higher instability and disruption in mesenchymal stem cells' proliferation and differentiation compared to non-osteoporotic fractures. Moreover, when osteoporosis coexists with diabetes, the healing process of fractures can be severely impaired.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Yunhao Bai, Wenqi Li, Jianpeng An, Lili Xia, Huazhen Chen, Gang Zhao, Zhongke Gao
Summary: This study proposes an effective MIL method for classifying WSI of esophageal cancer. The use of self-supervised learning for feature extractor pretraining enhances feature extraction from esophageal WSI, leading to more robust and accurate performance. The proposed framework outperforms existing methods, achieving an accuracy of 93.07% and AUC of 95.31% on a comprehensive dataset of esophageal slide images.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)