Publications by authors named "Tianxiao Zhang"

Background: We aimed to assess the efficacy and feasibility of applying patient-reported outcome (PRO) based symptom management in the early postoperative period after breast cancer surgery.

Materials And Method: Before surgery, patients diagnosed with breast cancer who met the inclusion criteria were randomly assigned in a 1:1 ratio to receive either postoperative PRO-based symptom management or usual care. All patients completed the MD Anderson Symptom Inventory-Chinese version (MDASI-C) via the electronic PRO system preoperatively, on a daily basis postoperatively, and twice weekly after discharge, for a duration up to 2 weeks.

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Probiotic foods are foods containing probiotics, including dairy and non-dairy products, that exert significant beneficial impacts on human health. Benefiting from the rapid progress in systems biology, diverse types of probiotics with prominent health-promoting functionalities are unraveled, albeit such functions could be substantially influenced by the stress environments. Here, we conducted a comprehensive review to characterize the state-of-the-art research on probiotic foods and specific probiotics employed in their production.

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Background: Acute acalculous cholecystitis (AAC) is a type of cholecystitis with high mortality rate while its pathogenesis remains complex. Choline is one of the essential nutrients and is related to several diseases. This study aimed to explore the causal relationship between choline metabolites and AAC and its potential mechanisms.

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Aphid infestations are one of the primary causes of extensive damage to wheat and sorghum fields and are one of the most common vectors for plant viruses, resulting in significant agricultural yield losses. To address this problem, farmers often employ the inefficient use of harmful chemical pesticides that have negative health and environmental impacts. As a result, a large amount of pesticide is wasted on areas without significant pest infestation.

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Aims: The current study aims to investigate the consistency between the surveyees' self-reported disease diagnosis and clinical assessment of eight major chronic conditions using community-based survey data collected in Xi'an, China in 2017. With a focus on under-reporting patients, we aim to explore its magnitude and associated factors, to provide an important basis for disease surveillance, health assessment and resource allocation, and public health decision-making and services.

Methods: Questionnaires were administered to collect self-reported chronic condition prevalence among the study participants, while physical examinations and laboratory tests were conducted for clinical assessment.

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Background: Prior studies suggested that antidepressant use is associated with an increased risk of dementia compared to no use, which is subject to confounding by indication. We aimed to compare the dementia risk among older adults with depression receiving first-line antidepressants (i.e.

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Alzheimer's disease (AD) is a complex disorder, and its risk is influenced by multiple genetic and environmental factors. In this study, an AD risk gene prediction framework based on spatial and temporal features of gene expression data (STGE) was proposed. We proposed an AD risk gene prediction framework based on spatial and temporal features of gene expression data.

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Background: Prior studies suggested that antidepressant use is associated with an increased risk of dementia compared to no use, which is subject to confounding by indication. We aimed to compare the dementia risk among older adults with depression receiving first-line antidepressants (i.e.

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Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying chemicals across entire fields is both environmentally unsustainable and costly. Hence, precise localization and management of aphids are essential for targeted pesticide application.

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Antimony (Sb) is a typical environmental pollutant. With the development of industrialization, antimony is widely used in daily life and enters the human body through the food chain, water source, air pollution, and other channels. The risk of antimony exposure has emerged as one of the public's major health concerns.

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Programmed death-1 (PD-1), an immune checkpoint receptor, is expressed on activated lymphocytes, macrophages, and some types of tumor cells. While PD-1 cells have been implicated in outcomes of cancer immunity, autoimmunity, and chronic infections, the exact roles of these cells in various physiological and pathological processes remain elusive. Molecules that target and deplete PD-1 cells would be instrumental in defining the roles unambiguously.

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Methamphetamine use disorder (MUD) has become a global problem due to the highly addictive nature of methamphetamine. Earlier research have demonstrated that PROK2 functions as a compensatory and protective response against neurotoxic stress by stimulating astrocyte reactivity. The aim of our study was to evaluate the correlation between the gene and both MUD risk susceptibility and craving scale in the Chinese Han population.

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Article Synopsis
  • Flexible laryngoscopy is used by otolaryngologists to identify laryngeal diseases, and researchers are using machine learning to enhance automated diagnoses through analyzing laryngeal images.
  • This study investigates using deep learning to predict patient demographics (gender, smoking history, and age) to improve diagnostic accuracy, achieving overall accuracies of 85.5%, 65.2%, and 75.9% respectively.
  • A new set of laryngoscopic images was created, and eight classical deep learning models were tested to show that integrating demographic data can boost the performance of current diagnostic learning models.
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Objective: To localize structural laryngeal lesions within digital flexible laryngoscopic images and to classify them as benign or suspicious for malignancy using state-of-the-art computer vision detection models.

Study Design: Cross-sectional diagnostic study SETTING: Tertiary care voice clinic METHODS: Digital stroboscopic videos, demographic and clinical data were collected from patients evaluated for a structural laryngeal lesion. Laryngoscopic images were extracted from videos and manually labeled with bounding boxes encompassing the lesion.

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Purpose: To develop a machine learning-based method for estimation of both transmitter and receiver B fields desired for correction of the B inhomogeneity effects in quantitative brain imaging.

Theory And Methods: A subspace model-based machine learning method was proposed for estimation of B and B fields. Probabilistic subspace models were used to capture scan-dependent variations in the B fields; the subspace basis and coefficient distributions were learned from pre-scanned training data.

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Background: Diabetic kidney disease (DKD) is a severe complication of diabetes. Currently, no effective measures are available to reduce the risk of DKD progression. This study aimed to establish a weighted risk model to determine DKD progression and provide effective treatment strategies.

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Glucocorticoid-induced osteoporosis (GIOP) is considered the third type of osteoporosis and is accompanied by high morbidity and mortality. Long-term usage of glucocorticoids (GCs) causes worsened bone quality and low bone mass their effects on bone cells. Currently, there are various clinical pharmacological treatments to regulate bone mass and skeletal health.

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The purpose of this study was clarify the relationship between the differential expression of cyclins CCNB1 and CCNG1 and chondrocyte damage in Kashin-Beck disease. Systematic review and high-throughput sequencing of chondrocytes derived from Kashin-Beck disease patients were combined to identify the differentially expressed cyclins and cyclin-dependent kinase genes. In parallel, weaned SD rats were treated with low selenium for 4 weeks and then T-2 toxin for 4 weeks.

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Background: This study aimed to observe the changes in the ocular surface after phacoemulsification in patients with age-related cataracts with respect to the addition of varying concentrations of hyaluronate.

Methods: Patients with dry eye syndrome were treated with 0.3% and 0.

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Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system that is rare in China. At present, there are no widespread quantitative imaging markers associated with disease severity in MS. Despite several previous studies reporting cerebral blood flow (CBF) changes in MS, no consensus has been reached.

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The adenosine A2A receptor (ADORA2A) is highly expressed in the central nervous system and plays vital roles in drug addiction. In this study, we aimed to explore the susceptibility of ADORA2A to methamphetamine use disorder (MUD) and the craving degree based on a two-stage association analysis. A total of 3,542 (1,216 patients with MUD and 2,326 controls) and 1,740 participants (580 patients with MUD and 1,160 controls) were recruited in discovery and replication stage, respectively.

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Sarcopenia is a progressive skeletal muscle disease that occurs most commonly in the elderly population, contributing to increased costs and hospitalization. Exercise and nutritional therapy have been proven to be effective for sarcopenia, and some drugs can also alleviate declines in muscle mass and function due to sarcopenia. However, there is no specific pharmacological treatment for sarcopenia at present.

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Label assignment plays a significant role in modern object detection models. Detection models may yield totally different performances with different label assignment strategies. For anchor-based detection models, the IoU (Intersection over Union) threshold between the anchors and their corresponding ground truth bounding boxes is the key element since the positive samples and negative samples are divided by the IoU threshold.

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Mast cells (MCs) are main effector cells in chronic spontaneous urticaria (CSU). Both Fc epsilon RI (FcεRΙ)- and MAS-related G coupled receptor-X2 (MRGPRX2)-mediated MC activations affect CSU course. Leukocyte mono-immunoglobulin-like receptor 3 (CD300f) has been shown to regulate FcεRΙ activation.

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