AIMC Topic: Bayes Theorem

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Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation.

Scientific reports Apr 21, 2025
This research assesses multiple predictive models aimed at estimating disintegration time for pharmaceutical oral formulations, based on a dataset comprising nearly 2,000 data points that include molecular, physical, compositional, and formulation at...
Machine Learning Artificial Intelligence Bayes Theorem Tablets Chemistry, Pharmaceutical
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Confidence interval forecasting model of small watershed flood based on compound recurrent neural networks and Bayesian.

PloS one Apr 21, 2025
Flood forecasting exhibits rapid fluctuations, water level forecasting shows great uncertainty and inaccuracy in small watersheds, and the reliability and accuracy performance of traditional probability forecasting is often unbalanced. This study com...
Recurrent Neural Networks Bayes Theorem Neural Networks, Computer Confidence Intervals Forecasting Floods China
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Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes.

Medical image analysis Apr 20, 2025
Simulation-Based Inference (SBI) has recently emerged as a powerful framework for Bayesian inference: Neural networks are trained on simulations from a forward model, and learn to rapidly estimate posterior distributions. We here present an SBI frame...
Diffusion Magnetic Resonance Imaging Computer Simulation Reproducibility of Results Markov Chains White Matter Bayes Theorem Neural Networks, Computer Humans Image Interpretation, Computer-Assisted Diffusion Tensor Imaging Algorithms Monte Carlo Method Uncertainty Brain
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Explainable machine learning for predicting lung metastasis of colorectal cancer.

Scientific reports Apr 19, 2025
Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning...
Humans Machine Learning Middle Aged Lung Neoplasms Support Vector Machine Aged Bayes Theorem Colorectal Neoplasms SEER Program Male Algorithms Prognosis Female
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Predicting mortality and risk factors of sepsis related ARDS using machine learning models.

Scientific reports Apr 18, 2025
Sepsis related acute respiratory distress syndrome (ARDS) is a common and serious disease in clinic. Accurate prediction of in-hospital mortality of patients is crucial to optimize treatment and improve prognosis under the new global definition of AR...
Sepsis Hospital Mortality Respiratory Distress Syndrome Bayes Theorem Aged Male Middle Aged Prognosis Female Risk Factors Humans Machine Learning
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Ligand-Based Drug Discovery Leveraging State-of-the-Art Machine Learning Methodologies Exemplified by Cdr1 Inhibitor Prediction.

Journal of chemical information and modeling Apr 16, 2025
Artificial intelligence (AI) is revolutionizing drug discovery with unprecedented speed and efficiency. In computer-aided drug design, structure-based and ligand-based methodologies are the main driving forces for innovation. In cases where no experi...
Drug Discovery Bayes Theorem Ligands Humans Machine Learning
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Machine learning approaches for assessing medication transfer to human breast milk.

Journal of pharmacokinetics and pharmacodynamics Apr 16, 2025
The human milk/plasma (M/P) drug concentration ratio is crucial in pharmacology, especially for breastfeeding mothers undergoing treatment. It determines the extent to which drugs ingested by the mother pass into breast milk, potentially affecting th...
Humans Neural Networks, Computer Machine Learning Support Vector Machine Principal Component Analysis Bayes Theorem Algorithms Female Milk, Human Pharmaceutical Preparations Breast Feeding
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Computer Vision in Monitoring Fruit Browning: Neural Networks vs. Stochastic Modelling.

Sensors (Basel, Switzerland) Apr 15, 2025
As human labour is limited and therefore expensive, computer vision has emerged as a solution with encouraging results for monitoring and sorting tasks in the agrifood sector, where conventional methods for inspecting fruit browning that are generall...
Stochastic Processes Pyrus Bayes Theorem Color Fruit Humans Neural Networks, Computer
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A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children.

PeerJ Apr 14, 2025
BACKGROUND: Rotavirus is the leading cause of severe dehydrating diarrhea in children under 5 years worldwide. Timely diagnosis is critical, but access to confirmatory testing is limited in hospital settings. Machine learning (ML) models have shown p...
India Humans Support Vector Machine Machine Learning Decision Trees Gastroenteritis Infant Bayes Theorem Retrospective Studies Child, Preschool Rotavirus Female Diarrhea Rotavirus Infections Male
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Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 13, 2025
Image segmentation is a critical step in computational biomedical image analysis, typically evaluated using metrics like the Dice coefficient during training and validation. However, in clinical settings without manual annotations, assessing segmenta...
Humans Image Processing, Computer-Assisted Skin Neoplasms Bayes Theorem Image Interpretation, Computer-Assisted Uncertainty Reproducibility of Results Deep Learning Liver Neoplasms
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