Effect of Aberrant Long Noncoding RNA on the Prognosis of Clear Cell Renal Cell Carcinoma
In conclusion, our study found 10 lncRNAs related to the prognosis of ccRCC and provided new ideas for clinical diagnosis and drug development.PMID:34512796 | PMC:PMC8433025 | DOI:10.1155/2021/6533049 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 13, 2021 Category: Statistics Authors: Han Wu Haixiao Wu Peng Sun Desheng Zhu Min Ma Wentao Fan Source Type: research

A Mathematical Model of COVID-19 with Vaccination and Treatment
Comput Math Methods Med. 2021 Sep 4;2021:1250129. doi: 10.1155/2021/1250129. eCollection 2021.ABSTRACTWe formulate and theoretically analyze a mathematical model of COVID-19 transmission mechanism incorporating vital dynamics of the disease and two key therapeutic measures-vaccination of susceptible individuals and recovery/treatment of infected individuals. Both the disease-free and endemic equilibrium are globally asymptotically stable when the effective reproduction number R 0(v) is, respectively, less or greater than unity. The derived critical vaccination threshold is dependent on the vaccine efficacy for disease erad...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: M L Diagne H Rwezaura S Y Tchoumi J M Tchuenche Source Type: research

Establishment of an Immune-Related Gene Signature for Risk Stratification for Patients with Glioma
Comput Math Methods Med. 2021 Aug 27;2021:2191709. doi: 10.1155/2021/2191709. eCollection 2021.ABSTRACTGlioma is a frequently seen primary malignant intracranial tumor, characterized by poor prognosis. The study is aimed at constructing a prognostic model for risk stratification in patients suffering from glioma. Weighted gene coexpression network analysis (WGCNA), integrated transcriptome analysis, and combining immune-related genes (IRGs) were used to identify core differentially expressed IRGs (DE IRGs). Subsequently, univariate and multivariate Cox regression analyses were utilized to establish an immune-related risk s...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Jimin He Chun Zeng Yong Long Source Type: research

Interpretation of Electrocardiogram Heartbeat by CNN and GRU
Comput Math Methods Med. 2021 Aug 29;2021:6534942. doi: 10.1155/2021/6534942. eCollection 2021.ABSTRACTThe diagnosis of electrocardiogram (ECG) is extremely onerous and inefficient, so it is necessary to use a computer-aided diagnosis of ECG signals. However, it is still a challenging problem to design high-accuracy ECG algorithms suitable for the medical field. In this paper, a classification method is proposed to classify ECG signals. Firstly, wavelet transform is used to denoise the original data, and data enhancement technology is used to overcome the problem of an unbalanced dataset. Secondly, an integrated convolutio...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Guoliang Yao Xiaobo Mao Nan Li Huaxing Xu Xiangyang Xu Yi Jiao Jinhong Ni Source Type: research

Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking
Comput Math Methods Med. 2021 Aug 29;2021:6953593. doi: 10.1155/2021/6953593. eCollection 2021.ABSTRACTInfertility is a condition whereby pregnancy does not occur despite having unprotected sexual intercourse for at least one year. The main reason could originate from either the male or the female, and sometimes, both contribute to the fertility disorder. For the male, sperm disorder was found to be the most common reason for infertility. In this paper, we proposed male infertility analysis based on automated sperm motility tracking. The proposed method worked in multistages, where the first stage focused on the sperm dete...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Mohammed Alameri Khairunnisa Hasikin Nahrizul Adib Kadri Nashrul Fazli Mohd Nasir Prabu Mohandas Jerline Sheeba Anni Muhammad Mokhzaini Azizan Source Type: research

Gene Expression Analysis Reveals Key Genes and Signalings Associated with the Prognosis of Prostate Cancer
In this study, GSE17951 and TCGA were used to identify the differentially expressed genes (DEGs). Our study demonstrated that 1533 genes with increased expression and 2301 genes with decreased expression in PCa. Bioinformatics analysis data indicated that these up-regulated genes had an association with the modulation of mitotic nuclear division, sister chromatid cohesion, cell division, and cell cycle. Additionally, our results revealed downregulated genes took part in modulating extracellular matrix organization, angiogenesis, signal transduction, and Ras signaling pathway. Hub upregulated and downregulated PPI networks ...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Hao Shen Yong-Lian Guo Guo-Hao Li Wei Zhao Ling Zhang Source Type: research

A Mathematical Model of COVID-19 with Vaccination and Treatment
Comput Math Methods Med. 2021 Sep 4;2021:1250129. doi: 10.1155/2021/1250129. eCollection 2021.ABSTRACTWe formulate and theoretically analyze a mathematical model of COVID-19 transmission mechanism incorporating vital dynamics of the disease and two key therapeutic measures-vaccination of susceptible individuals and recovery/treatment of infected individuals. Both the disease-free and endemic equilibrium are globally asymptotically stable when the effective reproduction number R 0(v) is, respectively, less or greater than unity. The derived critical vaccination threshold is dependent on the vaccine efficacy for disease erad...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: M L Diagne H Rwezaura S Y Tchoumi J M Tchuenche Source Type: research

Establishment of an Immune-Related Gene Signature for Risk Stratification for Patients with Glioma
Comput Math Methods Med. 2021 Aug 27;2021:2191709. doi: 10.1155/2021/2191709. eCollection 2021.ABSTRACTGlioma is a frequently seen primary malignant intracranial tumor, characterized by poor prognosis. The study is aimed at constructing a prognostic model for risk stratification in patients suffering from glioma. Weighted gene coexpression network analysis (WGCNA), integrated transcriptome analysis, and combining immune-related genes (IRGs) were used to identify core differentially expressed IRGs (DE IRGs). Subsequently, univariate and multivariate Cox regression analyses were utilized to establish an immune-related risk s...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Jimin He Chun Zeng Yong Long Source Type: research

Interpretation of Electrocardiogram Heartbeat by CNN and GRU
Comput Math Methods Med. 2021 Aug 29;2021:6534942. doi: 10.1155/2021/6534942. eCollection 2021.ABSTRACTThe diagnosis of electrocardiogram (ECG) is extremely onerous and inefficient, so it is necessary to use a computer-aided diagnosis of ECG signals. However, it is still a challenging problem to design high-accuracy ECG algorithms suitable for the medical field. In this paper, a classification method is proposed to classify ECG signals. Firstly, wavelet transform is used to denoise the original data, and data enhancement technology is used to overcome the problem of an unbalanced dataset. Secondly, an integrated convolutio...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Guoliang Yao Xiaobo Mao Nan Li Huaxing Xu Xiangyang Xu Yi Jiao Jinhong Ni Source Type: research

Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking
Comput Math Methods Med. 2021 Aug 29;2021:6953593. doi: 10.1155/2021/6953593. eCollection 2021.ABSTRACTInfertility is a condition whereby pregnancy does not occur despite having unprotected sexual intercourse for at least one year. The main reason could originate from either the male or the female, and sometimes, both contribute to the fertility disorder. For the male, sperm disorder was found to be the most common reason for infertility. In this paper, we proposed male infertility analysis based on automated sperm motility tracking. The proposed method worked in multistages, where the first stage focused on the sperm dete...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Mohammed Alameri Khairunnisa Hasikin Nahrizul Adib Kadri Nashrul Fazli Mohd Nasir Prabu Mohandas Jerline Sheeba Anni Muhammad Mokhzaini Azizan Source Type: research

Gene Expression Analysis Reveals Key Genes and Signalings Associated with the Prognosis of Prostate Cancer
In this study, GSE17951 and TCGA were used to identify the differentially expressed genes (DEGs). Our study demonstrated that 1533 genes with increased expression and 2301 genes with decreased expression in PCa. Bioinformatics analysis data indicated that these up-regulated genes had an association with the modulation of mitotic nuclear division, sister chromatid cohesion, cell division, and cell cycle. Additionally, our results revealed downregulated genes took part in modulating extracellular matrix organization, angiogenesis, signal transduction, and Ras signaling pathway. Hub upregulated and downregulated PPI networks ...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Hao Shen Yong-Lian Guo Guo-Hao Li Wei Zhao Ling Zhang Source Type: research

A Mathematical Model of COVID-19 with Vaccination and Treatment
Comput Math Methods Med. 2021 Sep 4;2021:1250129. doi: 10.1155/2021/1250129. eCollection 2021.ABSTRACTWe formulate and theoretically analyze a mathematical model of COVID-19 transmission mechanism incorporating vital dynamics of the disease and two key therapeutic measures-vaccination of susceptible individuals and recovery/treatment of infected individuals. Both the disease-free and endemic equilibrium are globally asymptotically stable when the effective reproduction number R 0(v) is, respectively, less or greater than unity. The derived critical vaccination threshold is dependent on the vaccine efficacy for disease erad...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: M L Diagne H Rwezaura S Y Tchoumi J M Tchuenche Source Type: research

Establishment of an Immune-Related Gene Signature for Risk Stratification for Patients with Glioma
Comput Math Methods Med. 2021 Aug 27;2021:2191709. doi: 10.1155/2021/2191709. eCollection 2021.ABSTRACTGlioma is a frequently seen primary malignant intracranial tumor, characterized by poor prognosis. The study is aimed at constructing a prognostic model for risk stratification in patients suffering from glioma. Weighted gene coexpression network analysis (WGCNA), integrated transcriptome analysis, and combining immune-related genes (IRGs) were used to identify core differentially expressed IRGs (DE IRGs). Subsequently, univariate and multivariate Cox regression analyses were utilized to establish an immune-related risk s...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Jimin He Chun Zeng Yong Long Source Type: research

Interpretation of Electrocardiogram Heartbeat by CNN and GRU
Comput Math Methods Med. 2021 Aug 29;2021:6534942. doi: 10.1155/2021/6534942. eCollection 2021.ABSTRACTThe diagnosis of electrocardiogram (ECG) is extremely onerous and inefficient, so it is necessary to use a computer-aided diagnosis of ECG signals. However, it is still a challenging problem to design high-accuracy ECG algorithms suitable for the medical field. In this paper, a classification method is proposed to classify ECG signals. Firstly, wavelet transform is used to denoise the original data, and data enhancement technology is used to overcome the problem of an unbalanced dataset. Secondly, an integrated convolutio...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Guoliang Yao Xiaobo Mao Nan Li Huaxing Xu Xiangyang Xu Yi Jiao Jinhong Ni Source Type: research

Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking
Comput Math Methods Med. 2021 Aug 29;2021:6953593. doi: 10.1155/2021/6953593. eCollection 2021.ABSTRACTInfertility is a condition whereby pregnancy does not occur despite having unprotected sexual intercourse for at least one year. The main reason could originate from either the male or the female, and sometimes, both contribute to the fertility disorder. For the male, sperm disorder was found to be the most common reason for infertility. In this paper, we proposed male infertility analysis based on automated sperm motility tracking. The proposed method worked in multistages, where the first stage focused on the sperm dete...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Mohammed Alameri Khairunnisa Hasikin Nahrizul Adib Kadri Nashrul Fazli Mohd Nasir Prabu Mohandas Jerline Sheeba Anni Muhammad Mokhzaini Azizan Source Type: research

Gene Expression Analysis Reveals Key Genes and Signalings Associated with the Prognosis of Prostate Cancer
In this study, GSE17951 and TCGA were used to identify the differentially expressed genes (DEGs). Our study demonstrated that 1533 genes with increased expression and 2301 genes with decreased expression in PCa. Bioinformatics analysis data indicated that these up-regulated genes had an association with the modulation of mitotic nuclear division, sister chromatid cohesion, cell division, and cell cycle. Additionally, our results revealed downregulated genes took part in modulating extracellular matrix organization, angiogenesis, signal transduction, and Ras signaling pathway. Hub upregulated and downregulated PPI networks ...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Hao Shen Yong-Lian Guo Guo-Hao Li Wei Zhao Ling Zhang Source Type: research

A Mathematical Model of COVID-19 with Vaccination and Treatment
Comput Math Methods Med. 2021 Sep 4;2021:1250129. doi: 10.1155/2021/1250129. eCollection 2021.ABSTRACTWe formulate and theoretically analyze a mathematical model of COVID-19 transmission mechanism incorporating vital dynamics of the disease and two key therapeutic measures-vaccination of susceptible individuals and recovery/treatment of infected individuals. Both the disease-free and endemic equilibrium are globally asymptotically stable when the effective reproduction number R 0(v) is, respectively, less or greater than unity. The derived critical vaccination threshold is dependent on the vaccine efficacy for disease erad...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: M L Diagne H Rwezaura S Y Tchoumi J M Tchuenche Source Type: research

Establishment of an Immune-Related Gene Signature for Risk Stratification for Patients with Glioma
Comput Math Methods Med. 2021 Aug 27;2021:2191709. doi: 10.1155/2021/2191709. eCollection 2021.ABSTRACTGlioma is a frequently seen primary malignant intracranial tumor, characterized by poor prognosis. The study is aimed at constructing a prognostic model for risk stratification in patients suffering from glioma. Weighted gene coexpression network analysis (WGCNA), integrated transcriptome analysis, and combining immune-related genes (IRGs) were used to identify core differentially expressed IRGs (DE IRGs). Subsequently, univariate and multivariate Cox regression analyses were utilized to establish an immune-related risk s...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Jimin He Chun Zeng Yong Long Source Type: research

Interpretation of Electrocardiogram Heartbeat by CNN and GRU
Comput Math Methods Med. 2021 Aug 29;2021:6534942. doi: 10.1155/2021/6534942. eCollection 2021.ABSTRACTThe diagnosis of electrocardiogram (ECG) is extremely onerous and inefficient, so it is necessary to use a computer-aided diagnosis of ECG signals. However, it is still a challenging problem to design high-accuracy ECG algorithms suitable for the medical field. In this paper, a classification method is proposed to classify ECG signals. Firstly, wavelet transform is used to denoise the original data, and data enhancement technology is used to overcome the problem of an unbalanced dataset. Secondly, an integrated convolutio...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Guoliang Yao Xiaobo Mao Nan Li Huaxing Xu Xiangyang Xu Yi Jiao Jinhong Ni Source Type: research

Multistage Optimization Using a Modified Gaussian Mixture Model in Sperm Motility Tracking
Comput Math Methods Med. 2021 Aug 29;2021:6953593. doi: 10.1155/2021/6953593. eCollection 2021.ABSTRACTInfertility is a condition whereby pregnancy does not occur despite having unprotected sexual intercourse for at least one year. The main reason could originate from either the male or the female, and sometimes, both contribute to the fertility disorder. For the male, sperm disorder was found to be the most common reason for infertility. In this paper, we proposed male infertility analysis based on automated sperm motility tracking. The proposed method worked in multistages, where the first stage focused on the sperm dete...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Mohammed Alameri Khairunnisa Hasikin Nahrizul Adib Kadri Nashrul Fazli Mohd Nasir Prabu Mohandas Jerline Sheeba Anni Muhammad Mokhzaini Azizan Source Type: research

Gene Expression Analysis Reveals Key Genes and Signalings Associated with the Prognosis of Prostate Cancer
In this study, GSE17951 and TCGA were used to identify the differentially expressed genes (DEGs). Our study demonstrated that 1533 genes with increased expression and 2301 genes with decreased expression in PCa. Bioinformatics analysis data indicated that these up-regulated genes had an association with the modulation of mitotic nuclear division, sister chromatid cohesion, cell division, and cell cycle. Additionally, our results revealed downregulated genes took part in modulating extracellular matrix organization, angiogenesis, signal transduction, and Ras signaling pathway. Hub upregulated and downregulated PPI networks ...
Source: Computational and Mathematical Methods in Medicine - September 9, 2021 Category: Statistics Authors: Hao Shen Yong-Lian Guo Guo-Hao Li Wei Zhao Ling Zhang Source Type: research

Low-Dose CT Image Denoising with Improving WGAN and Hybrid Loss Function
Comput Math Methods Med. 2021 Aug 26;2021:2973108. doi: 10.1155/2021/2973108. eCollection 2021.ABSTRACTThe X-ray radiation from computed tomography (CT) brought us the potential risk. Simply decreasing the dose makes the CT images noisy and diagnostic performance compromised. Here, we develop a novel denoising low-dose CT image method. Our framework is based on an improved generative adversarial network coupling with the hybrid loss function, including the adversarial loss, perceptual loss, sharpness loss, and structural similarity loss. Among the loss function terms, perceptual loss and structural similarity loss are made...
Source: Computational and Mathematical Methods in Medicine - September 6, 2021 Category: Statistics Authors: Zhihua Li Weili Shi Qiwei Xing Yu Miao Wei He Huamin Yang Zhengang Jiang Source Type: research

Algorithm of Pulmonary Vascular Segment and Centerline Extraction
Comput Math Methods Med. 2021 Aug 25;2021:3859386. doi: 10.1155/2021/3859386. eCollection 2021.ABSTRACTBecause pulmonary vascular lesions are harmful to the human body and difficult to detect, computer-assisted diagnosis of pulmonary blood vessels has become the focus and difficulty of the current research. An algorithm of pulmonary vascular segment and centerline extraction which is consistent with the physician's diagnosis process is proposed for the first time. We construct the projection of maximum density, restore the vascular space information, and correct random walk algorithm to satisfy automatic and accurate segme...
Source: Computational and Mathematical Methods in Medicine - September 6, 2021 Category: Statistics Authors: Shi Qiu Jie Lian Yan Ding Tao Zhou Ting Liang Source Type: research

BERT-m7G: A Transformer Architecture Based on BERT and Stacking Ensemble to Identify RNA N7-Methylguanosine Sites from Sequence Information
In this study, we propose a novel method via incorporating BERT-based multilingual model in bioinformatics to represent the information of RNA sequences. Firstly, we treat RNA sequences as natural sentences and then employ bidirectional encoder representations from transformers (BERT) model to transform them into fixed-length numerical matrices. Secondly, a feature selection scheme based on the elastic net method is constructed to eliminate redundant features and retain important features. Finally, the selected feature subset is input into a stacking ensemble classifier to predict m7G sites, and the hyperparameters of the ...
Source: Computational and Mathematical Methods in Medicine - September 6, 2021 Category: Statistics Authors: Lu Zhang Xinyi Qin Min Liu Guangzhong Liu Yuxiao Ren Source Type: research

Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia
CONCLUSION: CXCR3, CCR7, HLA-DMA, and GPR18 might participate in the mechanism of CAP with sepsis.PMID:34484417 | PMC:PMC8413041 | DOI:10.1155/2021/8020067 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 6, 2021 Category: Statistics Authors: Yanyan Li Jiqin Wang Yuzhen Li Chunyan Liu Xia Gong Yifei Zhuang Liang Chen Keyu Sun Source Type: research

Low-Dose CT Image Denoising with Improving WGAN and Hybrid Loss Function
Comput Math Methods Med. 2021 Aug 26;2021:2973108. doi: 10.1155/2021/2973108. eCollection 2021.ABSTRACTThe X-ray radiation from computed tomography (CT) brought us the potential risk. Simply decreasing the dose makes the CT images noisy and diagnostic performance compromised. Here, we develop a novel denoising low-dose CT image method. Our framework is based on an improved generative adversarial network coupling with the hybrid loss function, including the adversarial loss, perceptual loss, sharpness loss, and structural similarity loss. Among the loss function terms, perceptual loss and structural similarity loss are made...
Source: Computational and Mathematical Methods in Medicine - September 6, 2021 Category: Statistics Authors: Zhihua Li Weili Shi Qiwei Xing Yu Miao Wei He Huamin Yang Zhengang Jiang Source Type: research

Algorithm of Pulmonary Vascular Segment and Centerline Extraction
Comput Math Methods Med. 2021 Aug 25;2021:3859386. doi: 10.1155/2021/3859386. eCollection 2021.ABSTRACTBecause pulmonary vascular lesions are harmful to the human body and difficult to detect, computer-assisted diagnosis of pulmonary blood vessels has become the focus and difficulty of the current research. An algorithm of pulmonary vascular segment and centerline extraction which is consistent with the physician's diagnosis process is proposed for the first time. We construct the projection of maximum density, restore the vascular space information, and correct random walk algorithm to satisfy automatic and accurate segme...
Source: Computational and Mathematical Methods in Medicine - September 6, 2021 Category: Statistics Authors: Shi Qiu Jie Lian Yan Ding Tao Zhou Ting Liang Source Type: research

BERT-m7G: A Transformer Architecture Based on BERT and Stacking Ensemble to Identify RNA N7-Methylguanosine Sites from Sequence Information
In this study, we propose a novel method via incorporating BERT-based multilingual model in bioinformatics to represent the information of RNA sequences. Firstly, we treat RNA sequences as natural sentences and then employ bidirectional encoder representations from transformers (BERT) model to transform them into fixed-length numerical matrices. Secondly, a feature selection scheme based on the elastic net method is constructed to eliminate redundant features and retain important features. Finally, the selected feature subset is input into a stacking ensemble classifier to predict m7G sites, and the hyperparameters of the ...
Source: Computational and Mathematical Methods in Medicine - September 6, 2021 Category: Statistics Authors: Lu Zhang Xinyi Qin Min Liu Guangzhong Liu Yuxiao Ren Source Type: research

Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia
CONCLUSION: CXCR3, CCR7, HLA-DMA, and GPR18 might participate in the mechanism of CAP with sepsis.PMID:34484417 | PMC:PMC8413041 | DOI:10.1155/2021/8020067 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 6, 2021 Category: Statistics Authors: Yanyan Li Jiqin Wang Yuzhen Li Chunyan Liu Xia Gong Yifei Zhuang Liang Chen Keyu Sun Source Type: research

ACE2 Promotes the Synthesis of Pulmonary Surfactant to Improve AT II Cell Injury via SIRT1/eNOS Pathway
CONCLUSION: Our findings provided information that ACE2 prevented AT II cells from inflammatory damage through activating the SIRT1/eNOS pathway, which suggested that ACE2 might become a novel protective agent applied in the protection and treatment of NRDS.PMID:34471421 | PMC:PMC8405332 | DOI:10.1155/2021/7710129 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - September 2, 2021 Category: Statistics Authors: Hailing Xu Jianguang Xiao Source Type: research

Multilevel Strip Pooling-Based Convolutional Neural Network for the Classification of Carotid Plaque Echogenicity
In this study, we redesign the spatial pyramid pooling (SPP) and propose multilevel strip pooling (MSP) for the automatic and accurate classification of carotid plaque echogenicity in the longitudinal section. The proposed MSP module can accept arbitrarily sized carotid plaques as input and capture a long-range informative context to improve the accuracy of classification. In our experiments, we implement an MSP-based CNN by using the visual geometry group (VGG) network as the backbone. A total of 1463 carotid plaques (335 echo-rich plaques, 405 intermediate plaques, and 723 echolucent plaques) were collected from Zhongnan...
Source: Computational and Mathematical Methods in Medicine - August 30, 2021 Category: Statistics Authors: Wei Ma Xinyao Cheng Xiangyang Xu Furong Wang Ran Zhou Aaron Fenster Mingyue Ding Source Type: research

Integration of Multiple-Omics Data to Analyze the Population-Specific Differences for Coronary Artery Disease
Comput Math Methods Med. 2021 Aug 17;2021:7036592. doi: 10.1155/2021/7036592. eCollection 2021.ABSTRACTSignificant differences may exist among different descents, but the current studies are mainly based on European populations. In the present study, we analyzed the population-specific differences of coronary artery disease (CAD) between European and East Asian descents. In stage 1, we identified CAD susceptibility genes by gene-based tests in European and East Asian populations. We identified two novel susceptibility genes for CAD, namely, CUX2 and OAS3. In stage 2, we carried out meta-analyses for the population-specific...
Source: Computational and Mathematical Methods in Medicine - August 27, 2021 Category: Statistics Authors: Yang Hu Shizheng Qiu Liang Cheng Source Type: research

Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Comput Math Methods Med. 2021 Aug 14;2021:1102083. doi: 10.1155/2021/1102083. eCollection 2021.ABSTRACTAlopecia areata is defined as an autoimmune disorder that results in hair loss. The latest worldwide statistics have exhibited that alopecia areata has a prevalence of 1 in 1000 and has an incidence of 2%. Machine learning techniques have demonstrated potential in different areas of dermatology and may play a significant role in classifying alopecia areata for better prediction and diagnosis. We propose a framework pertaining to the classification of healthy hairs and alopecia areata. We used 200 images of healthy hairs f...
Source: Computational and Mathematical Methods in Medicine - August 26, 2021 Category: Statistics Authors: Choudhary Sobhan Shakeel Saad Jawaid Khan Beenish Chaudhry Syeda Fatima Aijaz Umer Hassan Source Type: research

Computed Tomographic Image Processing and Reconstruction in the Diagnosis of Rare Osteochondroma
CONCLUSIONS: Rare site osteochondroma has certain imaging features. In most cases, we can accurately diagnose rare site osteochondroma through these features via the image processing methods that are proposed in this paper.PMID:34434249 | PMC:PMC8382554 | DOI:10.1155/2021/2827556 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - August 26, 2021 Category: Statistics Authors: Ting Zhao Hongyan Zhao Source Type: research

The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis
Comput Math Methods Med. 2021 Jul 26;2021:8873059. doi: 10.1155/2021/8873059. eCollection 2021.ABSTRACTWhen encountering the outbreak and early spreading of COVID-19, the Government of Japan imposed gradually upgraded restriction policies and declared the state of emergency in April 2020 for the first time. To evaluate the efficacy of the countering strategies in different periods, we constructed a SEIADR (susceptible-exposed-infected-asymptomatic-documented-recovered) model to simulate the cases and determined corresponding spreading coefficients. The effective reproduction number R t was obtained to evaluate the measures...
Source: Computational and Mathematical Methods in Medicine - August 24, 2021 Category: Statistics Authors: Zhongxiang Chen Siqiang Sun Wenhui Zhao Zhaoru Liu Xinyao Zhao Xiuxiang Huang Jiaji Pan Source Type: research

CY-09 Inhibits NLRP3 Inflammasome Activation to Relieve Pain via TRPA1
Comput Math Methods Med. 2021 Aug 14;2021:9806690. doi: 10.1155/2021/9806690. eCollection 2021.ABSTRACTPeripheral tissue damage leads to inflammatory pain, and inflammatory cytokine releasing is the key factor for inducing the sensitization of nociceptors. As a calcium ion channel, TRPA1 plays an important role in pain and inflammation, thus becoming a new type of anti-inflammatory and analgesic target. However, there is no consensus on the role of this channel in mechanical hyperalgesia caused by inflammation. Here, we aim to explore the role and underlying mechanism of the inflammasome inhibitor CY-09 in two classic infl...
Source: Computational and Mathematical Methods in Medicine - August 24, 2021 Category: Statistics Authors: Youjia Fan Gaici Xue Qianbo Chen Ye Lu Rong Dong Hongbin Yuan Source Type: research

The Impact of the Declaration of the State of Emergency on the Spread of COVID-19: A Modeling Analysis
Comput Math Methods Med. 2021 Jul 26;2021:8873059. doi: 10.1155/2021/8873059. eCollection 2021.ABSTRACTWhen encountering the outbreak and early spreading of COVID-19, the Government of Japan imposed gradually upgraded restriction policies and declared the state of emergency in April 2020 for the first time. To evaluate the efficacy of the countering strategies in different periods, we constructed a SEIADR (susceptible-exposed-infected-asymptomatic-documented-recovered) model to simulate the cases and determined corresponding spreading coefficients. The effective reproduction number R t was obtained to evaluate the measures...
Source: Computational and Mathematical Methods in Medicine - August 24, 2021 Category: Statistics Authors: Zhongxiang Chen Siqiang Sun Wenhui Zhao Zhaoru Liu Xinyao Zhao Xiuxiang Huang Jiaji Pan Source Type: research

CY-09 Inhibits NLRP3 Inflammasome Activation to Relieve Pain via TRPA1
Comput Math Methods Med. 2021 Aug 14;2021:9806690. doi: 10.1155/2021/9806690. eCollection 2021.ABSTRACTPeripheral tissue damage leads to inflammatory pain, and inflammatory cytokine releasing is the key factor for inducing the sensitization of nociceptors. As a calcium ion channel, TRPA1 plays an important role in pain and inflammation, thus becoming a new type of anti-inflammatory and analgesic target. However, there is no consensus on the role of this channel in mechanical hyperalgesia caused by inflammation. Here, we aim to explore the role and underlying mechanism of the inflammasome inhibitor CY-09 in two classic infl...
Source: Computational and Mathematical Methods in Medicine - August 24, 2021 Category: Statistics Authors: Youjia Fan Gaici Xue Qianbo Chen Ye Lu Rong Dong Hongbin Yuan Source Type: research

Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer
CONCLUSION: The radiomics model based on automatic image segmentation of DCE-MRI can be used to distinguish TNBC and non-TNBC.PMID:34422088 | PMC:PMC8371618 | DOI:10.1155/2021/2140465 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - August 23, 2021 Category: Statistics Authors: Mingming Ma Liangyu Gan Yuan Jiang Naishan Qin Changxin Li Yaofeng Zhang Xiaoying Wang Source Type: research

LAG3 and PD1 Regulate CD8+ T Cell in Diffuse Large B-cell Lymphoma Patients
CONCLUSION: PD1 and LAG3 in CD8+ T cells may be important targets of therapy and play therapeutic role in patients with DLBCL.PMID:34422089 | PMC:PMC8378962 | DOI:10.1155/2021/4468140 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - August 23, 2021 Category: Statistics Authors: Ying Liu Xinhong Guo Lingbo Zhan Lei Wang Xinyou Wang Ming Jiang Source Type: research

Predictive Mathematical Models of the Short-Term and Long-Term Growth of the COVID-19 Pandemic
Comput Math Methods Med. 2021 Aug 11;2021:5556433. doi: 10.1155/2021/5556433. eCollection 2021.ABSTRACTThe prediction of the dynamics of the COVID-19 outbreak and the corresponding needs of the health care system (COVID-19 patients' admissions, the number of critically ill patients, need for intensive care units, etc.) is based on the combination of a limited growth model (Verhulst model) and a short-term predictive model that allows predictions to be made for the following day. In both cases, the uncertainty analysis of the prediction is performed, i.e., the set of equivalent models that adjust the historical data with th...
Source: Computational and Mathematical Methods in Medicine - August 23, 2021 Category: Statistics Authors: Juan Luis Fern ández-Martínez Zulima Fern ández-Muñiz Ana Cernea Andrzej Kloczkowski Source Type: research

Anatomical Phase Extraction (APE) Method: A Novel Method to Correct Detrimental Effects of Tissue-Inhomogeneity in Referenceless MR Thermometry-Preliminary Ex Vivo Investigation
CONCLUSION: The present work demonstrates the use of the APE method on referenceless MR thermometry to improve the accuracy of temperature estimation during MRI guided high-intensity focused ultrasound for ablation treatment.PMID:34422091 | PMC:PMC8373482 | DOI:10.1155/2021/5566775 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - August 23, 2021 Category: Statistics Authors: Chien-Feng Judith Huang Win-Li Lin San-Chao Hwang Ching Yao Hsu Chang Li-Wei Kuo Source Type: research

Pharmacovigilance with Transformers: A Framework to Detect Adverse Drug Reactions Using BERT Fine-Tuned with FARM
Comput Math Methods Med. 2021 Aug 13;2021:5589829. doi: 10.1155/2021/5589829. eCollection 2021.ABSTRACTAdverse drug reactions (ADRs) are the undesirable effects associated with the use of a drug due to some pharmacological action of the drug. During the last few years, social media has become a popular platform where people discuss their health problems and, therefore, has become a popular source to share information related to ADR in the natural language. This paper presents an end-to-end system for modelling ADR detection from the given text by fine-tuning BERT with a highly modular Framework for Adapting Representation ...
Source: Computational and Mathematical Methods in Medicine - August 23, 2021 Category: Statistics Authors: Sajid Hussain Hammad Afzal Ramsha Saeed Naima Iltaf Mir Yasir Umair Source Type: research

SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image
CONCLUSION: An improved U-Net network combining SE, ResNet, and recurrent technologies is developed for automatic vessel segmentation from retinal image. This new model enables an improvement on the accuracy compared to learning-based methods, and its robustness in circumvent challenging cases such as small blood vessels and intersection of vessels is also well demonstrated and validated.PMID:34422093 | PMC:PMC8371614 | DOI:10.1155/2021/5976097 (Source: Computational and Mathematical Methods in Medicine)
Source: Computational and Mathematical Methods in Medicine - August 23, 2021 Category: Statistics Authors: Jinke Wang Xiang Li Peiqing Lv Changfa Shi Source Type: research