5,282,017 results match your criteria: "Modeling & Meta-Analysis MMA Center of Excellence CoE[Affiliation]"

Background: The relationship between the psoas muscle gauge (PMG), a combined sarcopenia indicator obtained from psoas muscle index (PMI) and psoas muscle density (PMD), and adverse clinical outcomes in patients on hemodialysis remains unclear. We examined whether psoas muscle gauge could predict all-cause mortality and new cardiovascular events more accurately than psoas muscle index in these patients.

Methods: We retrospectively included 217 hemodialysis patients who underwent abdominal computed tomography.

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Purpose: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery.

Methods: We briefly introduce explainability methods, including global and individual explanatory features, methods for imaging data and time series, as well as similarity classification, and unraveled rules and laws.

Results: Given the increasing interest in artificial intelligence within the surgical field, we emphasize the critical importance of transparency and interpretability in the outputs of applied models.

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Purpose: Improvements in the treatment of advanced cancer have increased life expectancy but have also increased the costs to healthcare systems, patients and their families. A systematic review is needed to summarize research work on the cost of cancer. The primary objective was to describe the characteristics and methodology of studies investigating the cost of cancer during the palliative phase.

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Background: This study aimed to develop a dynamic survival prediction model utilizing conditional survival (CS) analysis and machine learning techniques for gastric neuroendocrine carcinomas (GNECs).

Patients And Methods: Data from the Surveillance, Epidemiology, and End Results (SEER) database (2004-2015) were analyzed and split into training and validation groups (7:3 ratio). CS profiles for patients with GNEC were examined in the full cohort.

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Background: Glyphosate is an extensively employed herbicide in agriculture, specifically for sugarcane cultivation. The situation is different with the extensive physiological and genetic effects exerted by this herbicide on a range of plant species, including sugarcane, whose model basis is still poorly characterized, although its primary mode of action, which acts on the EPSPS enzyme in the shikimic acid pathway, is completely elucidated. The current study was aimed at investigating the stability of glyphosate formulation, molecular interactions of glyphosate formulation with rbcL enzyme associated with chlorophyll metabolism, and its effects on varieties of sugarcane.

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Background: Pancreatic cancer (PAC) has a complex tumor immune microenvironment, and currently, there is a lack of accurate personalized treatment. Establishing a novel consensus machine learning driven signature (CMLS) that offers a unique predictive model and possible treatment targets for this condition was the goal of this study.

Methods: This study integrated multiple omics data of PAC patients, applied ten clustering techniques and ten machine learning approaches to construct molecular subtypes for PAC, and created a new CMLS.

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Background: The unique characteristics of air pollution in high-altitude regions may significantly influence the transmission and incidence of influenza. However, current research on this phenomenon is limited, and further investigation is urgently needed.

Methods: This study collected influenza outpatient data from Qinghai Province between January 1, 2016, and December 31, 2021.

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Background: Primary aldosteronism (PA) is the leading surgically treatable cause of hypertension, with adrenalectomy as the definitive treatment for unilateral PA (UPA). However, some patients have persistent hypertension after surgery. This study aims to identify preoperative factors affecting surgical outcomes and develop a predictive model for postoperative hypertension resolution.

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EEG involves recording electrical activity generated by the brain through electrodes placed on the scalp. Imagined speech classification has emerged as an essential area of research in brain-computer interfaces (BCIs). Despite significant advances, accurately classifying imagined speech signals remains challenging due to their complex and non-stationary nature.

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Background: In the last two decades, robotic-assisted gastrectomy has become a widely adopted surgical option for gastric cancer (GC) treatment. Despite its popularity, postoperative complications can significantly deteriorate patient quality of life and prognosis. Therefore, identifying risk factors for these complications is crucial for early detection and intervention.

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Mechanistic Monte Carlo simulations have proven invaluable in tackling complex challenges in radiobiology, for example for protecting astronauts from solar particle events (SPEs) during deep space missions which remains an underexplored area. In this study, the Geant4-DNA Monte Carlo code was used to assess the DNA damage caused by SPEs and evaluate the protective effectiveness of a multilayer shelter. By examining the February 1956 and October 1989 SPEs-two extreme cases-the results showed that the proposed shelter reduced DNA damage by up to 57.

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Introduction: The advancements in neonatal resuscitation and surgical care have enabled children with congenital abnormalities to receive corrective surgeries and achieve lifespans well into adulthood. These patients may require long-term follow-up as they continue to have risks of developing sequelae from their original diseases or surgical interventions.

Purpose: This study aimed to investigate the current practice and barriers to the transition of care (TOC) from the perspectives of adult surgeons.

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Objective: This study aimed to investigate the longitudinal bi-directional relationship between self-reported restrictive eating behaviours and sleep characteristics within a sample of UK adolescents from the Millennium Cohort Study (MCS).

Method: Using a Structural Equation Modelling approach, the present study investigated the prospective associations between individual sleep behaviours (e.g.

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Background: Pneumatosis intestinalis on CT presents a diagnostic dilemma, because it could reflect bowel ischemia or benign finding.

Purpose: To determine radiological and clinical features that can predict bowel ischemia in patients with pneumatosis intestinalis on CT.

Materials And Methods: Patients with "pneumatosis" in abdominal CT reports performed between 1/1/2002 and 12/31/2018 were retrospectively included.

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Atopic dermatitis (AD) is a chronic inflammatory skin condition characterized by dry skin, severe itching, redness, and inflammation. Its complex etiology, involving genetic, immunological, and environmental factors, necessitates innovative therapeutic approaches. This study investigates nanostructured lipid carriers (NLCs) formulated with traditional fermented coconut (Cocos nucifera L.

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Objective: To investigate the predictive value of tumor iodine concentration obtained with dual-energy CT (DECT) for treatment response in patients treated with immune checkpoint inhibitors (ICI).

Materials And Methods: Retrospective single-center study of consecutive metastatic melanoma and renal cell carcinoma (RCC) patients undergoing first-line ICI treatment. The iodine concentration measurement time points include prior to initiation of therapy (baseline [BL]), after initiation (follow-up [FU1]), and either time point nearest to 12 months or at time of progression (final follow-up [FFU]).

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Developing Adverse Outcome Pathways to support radioecological risk assessment: Challenges and insights.

Environ Toxicol Chem

January 2025

Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Laboratoire d'Ecologie et d'Ecotoxicologie des Radionucléides, Cadarache, 13115 France Saint Paul-Lez-Durance.

Environmental pollution associated with long term effects, especially in the case of ionizing radiation, poses significant risks to wildlife, necessitating a more nuanced approach to Ecological Risk Assessment (ERA). In radioecology, current methods, as outlined by the International Commission on Radiological Protection (ICRP), focus primarily on exposure and individual/population-level effects, often both suffering a lack of ecological realism due to the nature of data used, and, sidelining a big amount of critical non-individual effects such as sub-individual one like genotoxicity. This review aims to address these gaps by suggesting the integration of New Approach Methods (NAMs) and the Adverse Outcome Pathway (AOP) framework in the field of radioecology.

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Optimizing Nanobubble Production in Ceramic Membranes: Effects of Pore Size, Surface Hydrophobicity, and Flow Conditions on Bubble Characteristics and Oxygenation.

Langmuir

January 2025

John A. Reif, Jr. Department of Civil and Environmental Engineering, New Jersey Institute of Technology, 323 Martin Luther King Blvd., Newark, New Jersey 07102, United States.

Precise control of nanobubble size is essential for optimizing the efficiency and performance of nanobubble applications across diverse fields, such as agriculture, water treatment, and medicine. Producing fine bubbles, including nanobubbles, is commonly achieved by purging gas through porous media, such as ceramic or polymer membranes. Many operational factors and membrane properties can significantly influence nanobubble production and characteristics.

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Unlabelled: Metaphyseal comminution in distal radius fracture (DRF) cases might indicate severe osteoporosis. The patients with DRFs and metaphyseal comminution showed 5.2-fold increased secondary fractures compared with those receiving combination osteoporosis therapy.

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Objectives: Rheumatoid arthritis (RA) is a chronic, destructive autoimmune disorder predominantly targeting the joints, with gut microbiota dysbiosis being intricately associated with its progression. The aim of the present study was to develop of effective early diagnostic methods for early RA based on gut microbiota.

Methods: A cohort comprising 262 RA patients and 475 healthy controls (HCs) was recruited.

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Accelerated Endosomal Escape of Splice-Switching Oligonucleotides Enables Efficient Hepatic Splice Correction.

ACS Appl Mater Interfaces

January 2025

Faculty of Life Sciences, Department of Pharmaceutical Sciences, Laboratory of Macromolecular Cancer Therapeutics (MMCT), University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.

Splice-switching oligonucleotides (SSOs) can restore protein functionality in pathologies and are promising tools for manipulating the RNA-splicing machinery. Delivery vectors can considerably improve SSO functionality in vivo and allow dose reduction, thereby addressing the challenges of RNA-targeted therapeutics. Here, we report a biocompatible SSO nanocarrier, based on redox-responsive disulfide cross-linked low-molecular-weight linear polyethylenimine (cLPEI), for overcoming multiple biological barriers from subcellular compartments to en-route serum stability and finally in vivo delivery challenges.

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Offspring of adult Yellowstone cutthroat trout (YCT) exposed to a range of selenium (Se) concentrations in situ were reared in a laboratory setting to assess effects on survival, growth and abnormalities. Maternal whole body Se concentrations ranged from 2.6 to 25.

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Osteoarthritis (OA) is a common degenerative bone and joint disease with an unclear pathogenesis. Our study identified that the histone acetyltransferase encoded by Kat7 is upregulated in the affected articular cartilage of OA patients and in a mice model of medial meniscal instability-induced OA. Chondrocyte-specific knockdown of Kat7 expression exhibited a protective effect on articular cartilage integrity.

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Tirzepatide mitigates cognitive decline in zebrafish model of type 2 diabetes mellitus induced by high-fat diet.

Naunyn Schmiedebergs Arch Pharmacol

January 2025

Department of Pharmacology, ISF College of Pharmacy, Ghal Kalan, GT Road, Moga, 142001, Punjab, India.

In examining the enduring consequences of diabetes, recent research has focused on the anticipated outcomes of the condition. Specifically, cognitive impairment has been linked to diabetes mellitus dating back to the discovery of insulin. This study delves into the neuroprotective effects of TZP, i.

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