AIMC Topic: Bayes Theorem

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Artificial intelligence methods available for cancer research.

Frontiers of medicine Aug 8, 2024
Cancer is a heterogeneous and multifaceted disease with a significant global footprint. Despite substantial technological advancements for battling cancer, early diagnosis and selection of effective treatment remains a challenge. With the convenience...
Bayes Theorem Biomedical Research Neoplasms Computational Biology Artificial Intelligence Machine Learning Humans Neural Networks, Computer
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Machine-Learning Prediction of Curie Temperature from Chemical Compositions of Ferromagnetic Materials.

Journal of chemical information and modeling Aug 7, 2024
Room-temperature ferromagnets are high-value targets for discovery given the ease by which they could be embedded within magnetic devices. However, the multitude of potential interactions among magnetic ions and their surrounding environments renders...
Magnets Machine Learning Temperature Bayes Theorem Algorithms
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Signatures of Bayesian inference emerge from energy-efficient synapses.

eLife Aug 6, 2024
Biological synaptic transmission is unreliable, and this unreliability likely degrades neural circuit performance. While there are biophysical mechanisms that can increase reliability, for instance by increasing vesicle release probability, these mec...
Animals Models, Neurological Bayes Theorem Neural Networks, Computer Synapses Synaptic Transmission Neurons Energy Metabolism
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Integrating Deep Learning-Based Dose Distribution Prediction with Bayesian Networks for Decision Support in Radiotherapy for Upper Gastrointestinal Cancer.

Cancer research and treatment Aug 2, 2024
PURPOSE: Selecting the better techniques to harbor optimal motion management, either a stereotactic linear accelerator delivery using TrueBeam (TBX) or magnetic resonance-guided gated delivery using MRIdian (MRG), is time-consuming and costly. To add...
Male Middle Aged Deep Learning Aged Aged, 80 and over Gastrointestinal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Pancreatic Neoplasms Bayes Theorem Liver Neoplasms Retrospective Studies Humans Female
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From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models.

Journal of computational biology : a journal of computational molecular cell biology Aug 2, 2024
To improve the forecasting accuracy of the spread of infectious diseases, a hybrid model was recently introduced where the commonly assumed constant disease transmission rate was actively estimated from enforced mitigating policy data by a machine le...
Humans United States Bayes Theorem Forecasting SARS-CoV-2 Machine Learning Canada COVID-19
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Optimizing postprandial glucose prediction through integration of diet and exercise: Leveraging transfer learning with imbalanced patient data.

PloS one Aug 1, 2024
BACKGROUND: In recent years, numerous methods have been introduced to predict glucose levels using machine-learning techniques on patients' daily behavioral and continuous glucose data. Nevertheless, a definitive consensus remains elusive regarding m...
Diet Diabetes, Gestational Pregnancy Exercise Humans Bayes Theorem Female Blood Glucose Postprandial Period Machine Learning Adult
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A novel radial basis neural network for the Zika virus spreading model.

Computational biology and chemistry Jul 25, 2024
The motive of current investigations is to design a novel radial basis neural network stochastic structure to present the numerical representations of the Zika virus spreading model (ZVSM). The mathematical ZVSM is categorized into humans and vectors...
Neural Networks, Computer Zika Virus Infection Bayes Theorem Humans Zika Virus
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Trait-mediated speciation and human-driven extinctions in proboscideans revealed by unsupervised Bayesian neural networks.

Science advances Jul 24, 2024
Species life-history traits, paleoenvironment, and biotic interactions likely influence speciation and extinction rates, affecting species richness over time. Birth-death models inferring the impact of these factors typically assume monotonic relatio...
Fossils Extinction, Biological Neural Networks, Computer Biodiversity Genetic Speciation Animals Humans Bayes Theorem
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Reconciling shared versus context-specific information in a neural network model of latent causes.

Scientific reports Jul 22, 2024
It has been proposed that, when processing a stream of events, humans divide their experiences in terms of inferred latent causes (LCs) to support context-dependent learning. However, when shared structure is present across contexts, it is still uncl...
Neural Networks, Computer Algorithms Bayes Theorem Humans Learning
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A machine learning approach to investigate the impact of land use land cover (LULC) changes on groundwater quality, health risks and ecological risks through GIS and response surface methodology (RSM).

Journal of environmental management Jul 19, 2024
Groundwater resources are enormously affected by land use land cover (LULC) dynamics caused by increasing urbanisation, agricultural and household discharge as a result of global population growth. This study investigates the impact of decadal LULC c...
Humans Environmental Monitoring Bayes Theorem India Machine Learning Water Quality Agriculture Geographic Information Systems Groundwater
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