AIMC Topic: Bayes Theorem

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Recognition of flight cadets brain functional magnetic resonance imaging data based on machine learning analysis.

PloS one Jun 5, 2025
The rapid advancement of the civil aviation industry has attracted significant attention to research on pilots. However, the brain changes experienced by flight cadets following their training remain, to some extent, an unexplored territory compared ...
Aviation Female Humans Male Machine Learning Young Adult Support Vector Machine Brain Adult Magnetic Resonance Imaging Brain Mapping Bayes Theorem Pilots
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Amortized template matching of molecular conformations from cryoelectron microscopy images using simulation-based inference.

Proceedings of the National Academy of Sciences of the United States of America Jun 4, 2025
Characterizing the conformational ensemble of biomolecular systems is key to understand their functions. Cryoelectron microscopy (cryo-EM) captures two-dimensional snapshots of biomolecular ensembles, giving in principle access to thermodynamics. How...
Neural Networks, Computer Models, Molecular Bayes Theorem Molecular Conformation Cryoelectron Microscopy Computer Simulation Deep Learning Image Processing, Computer-Assisted
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Analysis of drug crystallization by evaluation of pharmaceutical solubility in various solvents by optimization of artificial intelligence models.

Scientific reports Jun 4, 2025
For analysis of crystallization, the solubility of drug in solvents should be correlated to input parameters. In this investigation, the solubility of salicylic acid as drug model in a variety of solvents is predicted through the utilization of multi...
Bayes Theorem Artificial Intelligence Solvents Pharmaceutical Preparations Crystallization Machine Learning Solubility Salicylic Acid
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Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches.

Scientific reports Jun 4, 2025
By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley (Hordeum Vulgare L). A 130-line F8-F9 barley population caused Badia and Kavir to grow at the Gonbad K...
Ascomycota Disease Resistance Neural Networks, Computer Bayes Theorem Algorithms Plant Diseases Machine Learning Phenotype Hordeum
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Dating ancient manuscripts using radiocarbon and AI-based writing style analysis.

PloS one Jun 4, 2025
Determining by means of palaeography the chronology of ancient handwritten manuscripts such as the Dead Sea Scrolls is essential for reconstructing the evolution of ideas, but there is an almost complete lack of date-bearing manuscripts. To overcome ...
Artificial Intelligence Writing Bayes Theorem History, Ancient Manuscripts as Topic Archaeology Humans Radiometric Dating
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Efficient structure learning of gene regulatory networks with Bayesian active learning.

BMC bioinformatics Jun 3, 2025
BACKGROUND: Gene regulatory network modeling is a complex structure learning problem that involves both observational data analysis and experimental interventions. Bayesian causal discovery provides a principled framework for modeling observational d...
Bayes Theorem Algorithms Humans Gene Regulatory Networks Machine Learning Computational Biology
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Analysis of a nonsteroidal anti inflammatory drug solubility in green solvent via developing robust models based on machine learning technique.

Scientific reports Jun 3, 2025
This study develops and evaluates advanced hybrid machine learning models-ADA-ARD (AdaBoost on ARD Regression), ADA-BRR (AdaBoost on Bayesian Ridge Regression), and ADA-GPR (AdaBoost on Gaussian Process Regression)-optimized via the Black Widow Optim...
Solvents Machine Learning Thermodynamics Algorithms Carbon Dioxide Anti-Inflammatory Agents, Non-Steroidal Niflumic Acid Solubility Bayes Theorem
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Predicting genetic merit in Harnali sheep using machine learning techniques.

Tropical animal health and production Jun 3, 2025
Machine learning techniques offer promising avenues for enhancing animal breeding programs by leveraging genomic and phenotypic data to predict valuable traits accurately. In this study, we evaluated seven machine learning algorithms viz., K-nearest ...
Sheep, Domestic Female Animals Male Bayes Theorem Breeding Pedigree Machine Learning Algorithms Phenotype
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A machine learning-based prediction model for sepsis-associated delirium in intensive care unit patients with sepsis-associated acute kidney injury.

Renal failure Jun 2, 2025
Sepsis-associated acute kidney injury (SA-AKI) patients in the ICU often suffer from sepsis-associated delirium (SAD), which is linked to unfavorable outcomes. This research aimed to develop a machine learning-based model for early SAD prediction in ...
Acute Kidney Injury Intensive Care Units Female Humans Machine Learning Sepsis ROC Curve Logistic Models Decision Trees Aged Male Middle Aged Bayes Theorem Delirium
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Prediction of Lymph Node Metastasis in Non-Small Cell Lung Carcinoma Using Primary Tumor Somatic Mutation Data.

JCO clinical cancer informatics May 30, 2025
PURPOSE: Lymph node metastasis (LNM) significantly affects prognosis and treatment strategies in non-small cell lung cancer (NSCLC). Current diagnostic methods, including imaging and histopathology, have limited sensitivity and specificity. This stud...
Bayes Theorem Mutation Polymorphism, Single Nucleotide Carcinoma, Non-Small-Cell Lung Lymphatic Metastasis Aged Biomarkers, Tumor Middle Aged Male Machine Learning Humans ROC Curve Prognosis Lung Neoplasms Female
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