AIMC Topic: Computer Simulation

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Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures.

Biometrics Apr 16, 2023
Many popular survival models rely on restrictive parametric, or semiparametric, assumptions that could provide erroneous predictions when the effects of covariates are complex. Modern advances in computational hardware have led to an increasing inter...
Software Computer Simulation Humans Proportional Hazards Models Machine Learning Uncertainty Models, Statistical Bayes Theorem
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Collaborative training of medical artificial intelligence models with non-uniform labels.

Scientific reports Apr 13, 2023
Due to the rapid advancements in recent years, medical image analysis is largely dominated by deep learning (DL). However, building powerful and robust DL models requires training with large multi-party datasets. While multiple stakeholders have prov...
Thorax Artificial Intelligence Computer Simulation Algorithms Health Facilities
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Multifidelity Neural Network Formulations for Prediction of Reactive Molecular Potential Energy Surfaces.

Journal of chemical information and modeling Apr 12, 2023
This paper focuses on the development of multifidelity modeling approaches using neural network surrogates, where training data arising from multiple model forms and resolutions are integrated to predict high-fidelity response quantities of interest ...
Learning Neural Networks, Computer Computer Simulation
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Human-Centric Digital Twins in Industry: A Comprehensive Review of Enabling Technologies and Implementation Strategies.

Sensors (Basel, Switzerland) Apr 12, 2023
The last decade saw the emergence of highly autonomous, flexible, re-configurable Cyber-Physical Systems. Research in this domain has been enhanced by the use of high-fidelity simulations, including Digital Twins, which are virtual representations co...
Industry Humans Ergonomics Computer Simulation Artificial Intelligence Augmented Reality
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Simulating complex patient populations with hierarchical learning effects to support methods development for post-market surveillance.

BMC medical research methodology Apr 11, 2023
BACKGROUND: Validating new algorithms, such as methods to disentangle intrinsic treatment risk from risk associated with experiential learning of novel treatments, often requires knowing the ground truth for data characteristics under investigation. ...
Deep Learning Humans Algorithms Computer Simulation
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Artificial intelligence assisted identification of potential tau aggregation inhibitors: ligand- and structure-based virtual screening, in silico ADME, and molecular dynamics study.

Molecular diversity Apr 6, 2023
Alzheimer's disease (AD) is a severe, growing, multifactorial disorder affecting millions of people worldwide characterized by cognitive decline and neurodegeneration. The accumulation of tau protein into paired helical filaments is one of the major ...
Humans Molecular Docking Simulation Drug Discovery Artificial Intelligence Computer Simulation Alzheimer Disease Ligands tau Proteins Molecular Dynamics Simulation Protein Aggregates Protein Binding Drug Evaluation, Preclinical
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Artificial Intelligence That Predicts Sensitizing Potential of Cosmetic Ingredients with Accuracy Comparable to Animal and In Vitro Tests-How Does the Infotechnomics Compare to Other "Omics" in the Cosmetics Safety Assessment?

International journal of molecular sciences Apr 6, 2023
The aim of the current study was to develop an in silico model to predict the sensitizing potential of cosmetic ingredients based on their physicochemical characteristics and to compare the predictions with historical animal data and results from "om...
Animals In Vitro Techniques Bayes Theorem Cosmetics Haptens Artificial Intelligence Consumer Product Safety Computer Simulation
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Fixed-time synchronization of delayed memristive neural networks with impulsive effects via novel fixed-time stability theorem.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2023
In this study, the fixed-time synchronization (FXTS) of delayed memristive neural networks (MNNs) with hybrid impulsive effects is explored. To investigate the FXTS mechanism, we first propose a novel theorem about the fixed-time stability (FTS) of i...
Time Factors Neural Networks, Computer Computer Simulation
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Comparing machine learning methods for predicting land development intensity.

PloS one Apr 5, 2023
Land development intensity is a comprehensive indicator to measure the degree of saving and intensive land construction and economic production activities. It is also the result of the joint action of natural, social, economic, and ecological element...
Computer Simulation Random Forest Machine Learning Algorithms Forecasting
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The emerging role of artificial intelligence and digital twins in pre-clinical molecular imaging.

Nuclear medicine and biology Apr 4, 2023
INTRODUCTION: Pre-clinical molecular imaging, particularly with mice, is an essential part of drug and radiopharmaceutical development. There remain ethical challenges to reduce, refine and replace animal imaging where possible.
Molecular Imaging Mice Radiopharmaceuticals Artificial Intelligence Computer Simulation Animals
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