AIMC Topic: Computer Simulation

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Improving on in-silico prediction of oral drug bioavailability.

Expert opinion on drug metabolism & toxicology Oct 27, 2023
INTRODUCTION: Although significant development has been made in high-throughput screening of oral drug absorption and oral bioavailability, prediction continues to play an important role in prediction of oral bioavailability and assisting in the pro...
Administration, Oral Humans Biological Availability Artificial Intelligence Computer Simulation Pharmaceutical Preparations Reproducibility of Results Models, Biological
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Application of statistical machine learning in biomarker selection.

Scientific reports Oct 26, 2023
In the recent JAVELIN Bladder 100 phase 3 trial, avelumab plus best supportive care significantly prolonged overall survival relative to best supportive care alone as first-line maintenance therapy following first-line platinum-based chemotherapy in ...
Prognosis Biomarkers Bayes Theorem Computer Simulation Clinical Trials, Phase III as Topic Humans Machine Learning
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An advanced approach for the electrical responses of discrete fractional-order biophysical neural network models and their dynamical responses.

Scientific reports Oct 24, 2023
The multiple activities of neurons frequently generate several spiking-bursting variations observed within the neurological mechanism. We show that a discrete fractional-order activated nerve cell framework incorporating a Caputo-type fractional diff...
Neurons Biophysics Algorithms Computer Simulation Neural Networks, Computer
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Performance analysis of PID controller and fuzzy logic controller for DC-DC boost converter.

PloS one Oct 19, 2023
Demand of Power electronics converter is increased due to the rapid increase of green re-sources. The distributed nature of uncontrolled renewable energy resources are connected with the grid via power electronics converter. DC-DC converters are high...
Electronics Computer Simulation Electric Power Supplies Fuzzy Logic
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Characterisation of Cognitive Load Using Machine Learning Classifiers of Electroencephalogram Data.

Sensors (Basel, Switzerland) Oct 17, 2023
A high cognitive load can overload a person, potentially resulting in catastrophic accidents. It is therefore important to ensure the level of cognitive load associated with safety-critical tasks (such as driving a vehicle) remains manageable for dri...
Machine Learning Electroencephalography Cognition Computer Simulation Support Vector Machine Humans Neural Networks, Computer
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Remote teaching system for robotic surgery and its validation: results of a randomized controlled study.

Surgical endoscopy Oct 16, 2023
BACKGROUND: Currently, only a limited number of remote assistance modalities are utilized in the basic phase of robotic surgery training to facilitate the rapid acquisition of robotic surgery skills by surgeons. This study aimed to investigate the be...
Robotic Surgical Procedures Simulation Training Computer Simulation Humans Surgeons Software Clinical Competence Robotics
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The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study.

Journal of biopharmaceutical statistics Oct 11, 2023
The development of next-generation sequencing (NGS) opens opportunities for new applications such as liquid biopsy, in which tumor mutation genotypes can be determined by sequencing circulating tumor DNA after blood draws. However, with highly dilute...
Mutation High-Throughput Nucleotide Sequencing Biomarkers, Tumor Genotype Liquid Biopsy Circulating Tumor DNA Humans Machine Learning Algorithms Computer Simulation
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Deterministic learning-based neural identification and knowledge fusion.

Neural networks : the official journal of the International Neural Network Society Oct 11, 2023
Recent deterministic learning methods have achieved locally-accurate identification of unknown system dynamics. However, the locally-accurate identification means that the neural networks can only capture the local dynamics knowledge along the system...
Artificial Intelligence Algorithms Computer Simulation Nonlinear Dynamics Neural Networks, Computer
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An improved multiply robust estimator for the average treatment effect.

BMC medical research methodology Oct 11, 2023
BACKGROUND: In observational studies, double robust or multiply robust (MR) approaches provide more protection from model misspecification than the inverse probability weighting and g-computation for estimating the average treatment effect (ATE). How...
Humans Machine Learning Models, Statistical Probability Computer Simulation Longitudinal Studies
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Predicting discrete-time bifurcations with deep learning.

Nature communications Oct 10, 2023
Many natural and man-made systems are prone to critical transitions-abrupt and potentially devastating changes in dynamics. Deep learning classifiers can provide an early warning signal for critical transitions by learning generic features of bifurca...
Humans Computer Simulation Deep Learning Heart
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