AIMC Topic: Random Allocation

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Antimicrobial efficacy of the EndoVac system plus PDT against intracanal Candida albicans: an ex vivo study.

Brazilian oral research Oct 9, 2015
This study evaluated the ex vivoantimicrobial efficacy of the EndoVac system and the photodynamic therapy (PDT) associated with chemomechanical debridement (CMD) and intracanal medication on Candida albicans. Seventy-eight sterile premolars were cont...
Disinfectants Debridement Photochemotherapy Random Allocation Humans Statistics, Nonparametric Reproducibility of Results Materials Testing Dental Pulp Cavity Reference Values Time Factors Root Canal Irrigants Treatment Outcome Sodium Hypochlorite Candida albicans Calcium Hydroxide Root Canal Therapy Colony Count, Microbial
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Muscle damage and immune responses to prolonged exercise in environmental extreme conditions.

The Journal of sports medicine and physical fitness Sep 1, 2015
BACKGROUND: This study aimed to investigate the effect of prolonged exercise with and without a thermal clamp on leukocyte cell, stress hormones, cytokine and muscle damage responses.
Healthy Volunteers Physical Endurance Stress, Physiological Humans Random Allocation Adult Hot Temperature Cytokines Male Humidity Biomarkers Exercise Leukocyte Count Young Adult Exercise Test Muscle Fatigue
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Improvement in the Prediction of Ventilator Weaning Outcomes by an Artificial Neural Network in a Medical ICU.

Respiratory care Sep 1, 2015
BACKGROUND: Twenty-five to 40% of patients pass a spontaneous breathing trial (SBT) but fail to wean from mechanical ventilation. There is no single appropriate and convenient predictor or method that can help clinicians to accurately predict weaning...
Humans Neural Networks, Computer Forecasting ROC Curve Predictive Value of Tests Models, Biological Male Airway Extubation Intensive Care Units Respiration Random Allocation Middle Aged Ventilator Weaning Female Respiratory Function Tests Respiration, Artificial Aged Lung Aged, 80 and over
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Histopathologic and Urodynamic Effects of the Anticholinergic Drugs Oxybutynin, Tolterodine, and Trospium on the Bladder.

Lower urinary tract symptoms Mar 6, 2015
OBJECTIVES: This study aimed to evaluate the effects of intravesical instillation of the anticholinergic drugs oxybutynin, tolterodine, and trospium on bladder capacity and histopathological changes in the bladder mucosa.
Nortropanes Muscarinic Antagonists Tolterodine Tartrate Animals Urinary Bladder Urological Agents Male Urothelium Benzilates Rabbits Mandelic Acids Random Allocation
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Development of machine learning-based models for vault prediction in implantable collamer lens surgery according to implant orientation.

Journal of cataract and refractive surgery May 1, 2025
PURPOSE: To develop a prediction model based on machine learning to calculate the postoperative vault and the ideal implantable collamer lens (ICL) size, considering for the first time the implantation orientation in a White population.
Young Adult Adult Male Middle Aged Humans Machine Learning Retrospective Studies Female Random Allocation Biometry Anterior Eye Segment Lens Implantation, Intraocular Phakic Intraocular Lenses Myopia Visual Acuity Tomography, Optical Coherence Datasets as Topic
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[Development and Application of Deep Learning-Based Model for Quality Control of Children Pelvic X-Ray Images].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Mar 30, 2024
OBJECTIVE: A deep learning-based method for evaluating the quality of pediatric pelvic X-ray images is proposed to construct a diagnostic model and verify its clinical feasibility.
Humans Artificial Intelligence Retrospective Studies Child Random Allocation Reproducibility of Results X-Rays Deep Learning
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Prediction of pulp exposure risk of carious pulpitis based on deep learning.

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology Apr 1, 2023
OBJECTIVES: This study aims to predict the risk of deep caries exposure in radiographic images based on the convolutional neural network model, compare the prediction results of the network model with those of senior dentists, evaluate the performanc...
Pulpitis Reproducibility of Results Deep Learning ROC Curve Random Allocation Humans Neural Networks, Computer
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Revealing determinants of translation efficiency via whole-gene codon randomization and machine learning.

Nucleic acids research Mar 21, 2023
It has been known for decades that codon usage contributes to translation efficiency and hence to protein production levels. However, its role in protein synthesis is still only partly understood. This lack of understanding hampers the design of synt...
Machine Learning RNA, Messenger Escherichia coli Random Allocation Codon Protein Biosynthesis
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The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non-Small Cell Lung Cancer: A Variable Importance Approach.

Medical care May 1, 2020
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting ov...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Models, Statistical Positron Emission Tomography Computed Tomography Adult Male Middle Aged Comorbidity Whole Body Imaging Neoplasm Staging Radiopharmaceuticals Tumor Burden Random Allocation Humans Machine Learning Prognosis Retrospective Studies Female Aged
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Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles.

Journal of bioinformatics and computational biology Jun 1, 2019
Deep learning technologies are permeating every field from image and speech recognition to computational and systems biology. However, the application of convolutional neural networks (CCNs) to "omics" data poses some difficulties, such as the proces...
Cluster Analysis Random Allocation Transcriptome Protein Interaction Maps Humans Lung Neoplasms Neural Networks, Computer Support Vector Machine Machine Learning Algorithms Reproducibility of Results
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