1,155,707 results match your criteria: "Canada; and New York University School of Medicine (Shallcross)[Affiliation]"

[Anemia classification, prevalence and predictive factors in inflammatory bowel disease].

Orv Hetil

January 2025

1 Semmelweis Egyetem, Általános Orvostudományi Kar, Belgyógyászati és Onkológiai Klinika Budapest, Korányi S. u. 2/a, 1083 Magyarország.

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  • Understanding the associations between traits and microbial composition is critical for microbiome research, but machine learning models often struggle due to the data's high-dimensional, compositional, and imbalanced nature.
  • To tackle these challenges, a new data augmentation method called PhyloMix has been developed, which uses phylogenetic relationships to generate synthetic microbial samples that enhance model performance.
  • PhyloMix significantly outperforms other data augmentation techniques and is effective in both supervised learning and contrastive representation learning, demonstrating its broad applicability in microbiome studies.
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Aim: To investigate additional factors contributing to the pathophysiology of chemotherapy-induced oral mucositis and periodontitis beyond the systemic immune suppression caused by the chemotherapeutic agent 5-Fluorouracil (5-FU).

Methods: 5-Fluorouracil was topically delivered to the non-keratinized, rapidly proliferating junctional epithelium (JE) surrounding the dentition, and acts as an immunologic and functional barrier to bacterial ingression. Various techniques, including EdU incorporation, quantitative immunohistochemistry (qIHC), histology, enzymatic activity assays, and micro-computed tomographic (μCT) imaging, were employed to analyze the JE at multiple time points following topical 5-FU treatment.

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Plants constitute a source of natural phytochemical components which are widely known for their potential biological activities. This work concerned a study of the antioxidant, anticancer and anti-inflammatory activities of squirting cucumber (Ecballium elaterium L.) parts (flowers, fruits, leaves and stems) using different solvent extracts (cyclohexane, dichloromethane, ethyl acetate, methanol and water).

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Obesity, often driven by high-fat diets (HFD), is a major global health issue, necessitating effective preventive measures. Tetragonia tetragonoides, a plant with known medicinal properties, has not been extensively studied for its effects on HFD-induced obesity and related genetic changes in mice. This study explores the impact of Tetragonia tetragonoides extract (TTE; 300 mg/kg) on obesity-related traits in C57BL/6J male mice, with a focus on transcriptomic changes in the liver and white adipose tissue (WAT).

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  • The study aimed to assess the feasibility of an online cognitive behavioral therapy (CBT) program for patients recovering from extremity fractures compared to usual care.
  • Despite enrolling 94 participants, recruitment showed a "yellow light," indicating some success but needing improvements.
  • Compliance with the CBT program was low, as only 60% completed all modules, leading to a "red light," suggesting significant changes are necessary before a larger trial can proceed.
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Background: The COVID-19 pandemic necessitated the rapid availability of evidence to respond in a timely manner to the needs of practice settings and decision-makers in health and social services. Now that the pandemic is over, it is time to put in place actions to improve the capacity of systems to meet knowledge needs in a situation of crisis. The main objective of this project was thus to develop an action plan for the rapid syntheses of evidence in times of health crisis in Quebec (Canada).

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Developing a decision support tool to predict delayed discharge from hospitals using machine learning.

BMC Health Serv Res

January 2025

Department of Industrial Engineering, Dalhousie University, PO Box 15000, Halifax, B3H 4R2, NS, Canada.

Background: The growing demand for healthcare services challenges patient flow management in health systems. Alternative Level of Care (ALC) patients who no longer need acute care yet face discharge barriers contribute to prolonged stays and hospital overcrowding. Predicting these patients at admission allows for better resource planning, reducing bottlenecks, and improving flow.

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Background: Study aims were to assess the current state and needs of faculty to inform the design of a formal mentorship program in a large academic Department of Psychiatry.

Methods: A 57- item self-administered online survey questionnaire was distributed to all faculty members.

Results: 225 faculty members completed the survey (24%).

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Background: Consequences of lung injury and inflammation in preterm infants with bronchopulmonary dysplasia (BPD) contribute to prolonged oxygen requirements. Home oxygen therapy (HOT) is an alternative way of respiratory support in infant with BPD. However, there is no consensus on weaning guidelines.

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Background: Inadequate and excessive gestational weight gain (GWG) defined by the Institute of Medicine (IOM) has been associated with preterm birth. However, studies demonstrate inconsistent associations.

Objectives: We examined the associations between categorical and continuous total GWG and moderate to late preterm birth (32-<37 weeks), and evaluated differences in these associations by pre-pregnancy BMI.

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Profiles of physician follow-up care, correlates and outcomes among patients affected by an incident mental disorder.

BMC Prim Care

January 2025

Département de psychiatrie, Centre de recherche de l'Institut universitaire en santé mentale de Montréal, Université de Montréal, Montreal, QC, Canada.

Objectives: This study identified profiles of outpatient physician follow-up care and other practice features, mostly after detection of incident mental disorders (MD), and associated these profiles with patient characteristics and subsequent adverse outcomes.

Methods: A cohort of 170,957 patients age 12 + with a new or recurrent MD detected in 2019-20 was investigated based on data from the Quebec Integrated Chronic Disease Surveillance System. Latent class analysis was performed to identify follow-up care profiles, mostly within one year of MD detection.

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Purpose: Clinicians monitor scoliosis progression using multiple radiographs during growth. During imaging, arms must be elevated to visualize vertebrae, possibly affecting sagittal alignment. This study aimed to determine the arm position that best represents habitual standing (and possibly allowing hand-based skeletal maturity assessment) to obtain frontal and lateral stereo-radiographs as measured using frontal, sagittal, and transverse angles.

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  • Outdoor play is crucial for children's health and development, and ECECs can help provide this access.
  • The PRO-ECO study tested an intervention designed to increase outdoor play in children aged 2.5 to 6 years across eight ECECs in Vancouver.
  • Although the initial results showed no significant overall changes in outdoor play participation, there was a slight positive trend in the intervention group 6 months post-implementation, suggesting further research is needed to evaluate the intervention's effectiveness fully.
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  • This study examines how serum metabolite profiles can help understand feed efficiency in lactating Holsteins and identify biomarkers for predicting residual feed intake (RFI).
  • Comparisons were made between high and low RFI cows at different lactation stages, revealing significant differences in various metabolites, especially notable changes in early and mid-lactation.
  • The findings suggest that specific metabolites, like p-Hydroxyhippuric acid and acetylornithine, could serve as effective biomarkers for predicting RFI, with models showing varying predictive accuracy across lactation stages.
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This paper introduces a novel method for spleen segmentation in ultrasound images, using a two-phase training approach. In the first phase, the SegFormerB0 network is trained to provide an initial segmentation. In the second phase, the network is further refined using the Pix2Pix structure, which enhances attention to details and corrects any erroneous or additional segments in the output.

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  • Deep learning methods show strong potential for predicting lung cancer risk from CT scans, but there's a need for more comprehensive comparisons and validations of these models in real-world settings.
  • The study reviews 21 state-of-the-art deep learning models, analyzing their performance using CT scans from a subset of the National Lung Screening Trial, with a focus on malignant versus benign classification.
  • Results reveal that 3D deep learning models generally outperformed 2D models, with the best 3D model achieving an AUROC of 0.86 compared to 0.79 for the best 2D model, emphasizing the need to choose appropriate pretrained datasets and model types for effective lung cancer risk prediction.
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Cervical cancer continues to disproportionately burden women in sub-Saharan Africa, and is the commonest gynecological cancer in Ghana. The Cervical Cancer Prevention and Training Centre (CCPTC), Battor, Ghana spearheaded the Ghana arm of the mPharma 10,000 Women Initiative (mTTWI) between September 2021 and October 2022. The aim of this study was to examine the outcomes of nationwide concurrent screening using high-risk human papillomavirus (hr-HPV) DNA testing and visual inspection methods, as well as factors associated with the screening outcomes.

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Mitigating anthropogenic climate change with aqueous green energy.

Sci Rep

January 2025

School of Earth and Ocean Sciences, University of Victoria, PO Box 1700, Victoria, BC, V8W 2Y2, Canada.

Reaching net zero emissions and limiting global warming to 2 °C requires the widespread introduction of technology-based solutions to draw down existing atmospheric levels and future emissions of CO. One such approach is direct air CO capture and storage (DACCS), a readily available, yet energy-intensive process. The combination of DACCS and ocean thermal energy conversion (OTEC) allows for independently powered carbon capture plants to inject concentrated carbon into deep marine sediments where storage is generally safe and permanent.

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Deterministic patterns in single-cell transcriptomic data.

NPJ Syst Biol Appl

January 2025

School of Biological Sciences, University of Edinburgh, Edinburgh, UK.

We report the existence of deterministic patterns in statistical plots of single-cell transcriptomic data. We develop a theory showing that the patterns are neither artifacts introduced by the measurement process nor due to underlying biological mechanisms. Rather they naturally emerge from finite sample size effects.

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Here, we present the North American Repository for Archaeological Isotopes (NARIA), the largest open-access compilation of previously reported isotopic measurements (n = 28,374) from bioarchaeological samples in North America (i.e., Canada, Greenland, Mexico, and the United States of America) covering a time-frame of more than 12,000 years.

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Background: The United Nations Convention on the Rights of the Child (1989) affirms interdependent rights to protection and participation, but barriers continue to hinder participation in protection practices.

Objective: What can be learned from young people's participation in their own protection when it comes to harm reduction public policy efforts?

Participants And Setting: This study focused on provincial public policy in New Brunswick, Canada and involved both children and adults in research design and data collection. The provincial Youth Voice Committee was created to inform the development and implementation of the provincial harm reduction strategy.

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PbsNRs: predict the potential binders and scaffolds for nuclear receptors.

Brief Bioinform

November 2024

Institute of Clinical Science, Zhongshan Hospital, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Intelligent Medicine Institute, School of Life Sciences, Fudan University, No. 180 Fenglin Road, Shanghai 200032, China.

Nuclear receptors (NRs) are a class of essential proteins that regulate the expression of specific genes and are associated with multiple diseases. In silico methods for prescreening potential NR binders with predictive binding ability are highly desired for NR-related drug development but are rarely reported. Here, we present the PbsNRs (Predicting binders and scaffolds for Nuclear Receptors), a user-friendly web server designed to predict the potential NR binders and scaffolds through proteochemometric modeling.

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