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Pooling as a strategy for the timely diagnosis of soil-transmitted helminths in stool: value and reproducibility
BackgroundThe strategy of pooling stool specimens has been extensively used in the field of parasitology in order to facilitate the screening of...
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Affective EEG-based cross-session person identification using hierarchical graph embedding
The electroencephalogram (EEG) signal is being investigated as a more confidential biometric for person identification. Despite recent advancements,...
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Exogenous hormone use, reproductive factors and risk of intrahepatic cholangiocarcinoma among women: results from cohort studies in the Liver Cancer Pooling Project and the UK Biobank
BackgroundIntrahepatic cholangiocarcinoma (ICC) arises from cholangiocytes in the intrahepatic bile duct and is the second most common type of liver...
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Hydroxychloroquine and COVID-19 story: is the low-dose treatment the missing link? A comprehensive review and meta-analysis
Hydroxychloroquine (HCQ) has been repurposed and used for the treatment of COVID-19 patients; however, its efficacy remains controversial, maybe...
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Serum methylation of GALNT9, UPF3A, WARS, and LDB2 as noninvasive biomarkers for the early detection of colorectal cancer and advanced adenomas
BackgroundEarly detection has proven to be the most effective strategy to reduce the incidence and mortality of colorectal cancer (CRC)....
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Implementing a novel capture and ligation probe-PCR method in mass screen and treatment to support malaria elimination efforts in the China-Myanmar border region
BackgroundMass screening and treatment (MSAT) for malaria elimination lacks an ideal diagnostic tool to allow sensitive and affordable test of the...
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Proof of stability of an RSV Controlled Human Infection Model challenge agent
In 2018, SGS Belgium NV developed RSV-NICA (Respiratory Syncytial Virus-Nasobronchial Infective Challenge Agent), an RSV type A challenge agent for...
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Pooling analysis regarding the impact of human vitamin D receptor variants on the odds of psoriasis
BackgroundThe study aims at scientifically investigating the genetic effect of four polymorphisms ( rs7975232 , rs1544410 , rs2228570 , and rs731236 )...
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Integrated approach for detection of SARS-CoV-2 and its variant by utilizing LAMP and ARMS-PCR
Global impact of COVID-19 pandemic has heightened the urgency for efficient virus detection and identification of variants such as the Q57H mutation....
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Accuracy and depth evaluation of clinical low pass genome sequencing in the detection of mosaic aneuploidies and CNVs
BackgroundLow-pass genome sequencing (LP GS) has shown distinct advantages over traditional methods for the detection of mosaicism. However, no study...
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Advancing brain tumor classification through MTAP model: an innovative approach in medical diagnostics
AbstractThe early diagnosis of brain tumors is critical in the area of healthcare, owing to the potentially life-threatening repercussions unstable...
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Convolutional Neural Networks Guided Raman Spectroscopy as a Process Analytical Technology (PAT) Tool for Monitoring and Simultaneous Prediction of Monoclonal Antibody Charge Variants
BackgroundCharge related heterogeneities of monoclonal antibody (mAb) based therapeutic products are increasingly being considered as a critical...
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Encoder-decoder network with RMP for tongue segmentation
Tongue and its movements can be used for several medical-related tasks, such as identifying a disease and tracking a rehabilitation. To be able to...
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The impact of uninterrupted sitting on central and peripheral cardiovascular function in pre-menopausal and post-menopausal women
Independently, both prolonged uninterrupted sitting and the onset of menopause negatively impact markers of cardiovascular risk. Whether their...
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Calf Venous Compliance During Hypotension After an Acute bout of Aerobic Exercise in Humans
PurposePost-exercise hypotension (PEH) following prolonged dynamic exercise is induced by an increase in systemic vascular conductance via skeletal...
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Diagnosis of schizophrenia with functional connectome data: a graph-based convolutional neural network approach
Previous deep learning methods have not captured graph or network representations of brain structural or functional connectome data. To address this,...
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A novel transformer-based aggregation model for predicting gene mutations in lung adenocarcinoma
AbstractIn recent years, predicting gene mutations on whole slide imaging (WSI) has gained prominence. The primary challenge is extracting global...
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LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection
Alzheimer’s disease (AD) is a progressive and incurable neurologi-cal disorder with a rising mortality rate, worsened by error-prone, time-intensive,...
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GIFNet: an effective global infection feature network for automatic COVID-19 lung lesions segmentation
AbstractThe ongoing COronaVIrus Disease 2019 (COVID-19) pandemic carried by the SARS-CoV-2 virus spread worldwide in early 2019, bringing about an...
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Deep learning infers clinically relevant protein levels and drug response in breast cancer from unannotated pathology images
The computational pathology has been demonstrated to effectively uncover tumor-related genomic alterations and transcriptomic patterns. Although...
