AIMC Topic: Bayes Theorem

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Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability.

Computers in biology and medicine Nov 7, 2024
Computational models that can predict growth and remodeling of the heart could have important clinical applications. However, the time it takes to calibrate and run current models while considering data uncertainty and variability makes them impracti...
Mitral Valve Insufficiency Models, Cardiovascular Bayes Theorem Heart Dogs Machine Learning Computer Simulation Animals Humans
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Prediction of Multi-Pharmacokinetics Property in Multi-Species: Bayesian Neural Network Stacking Model with Uncertainty.

Molecular pharmaceutics Nov 7, 2024
Pharmacokinetic (PK) properties of a drug are vital attributes influencing its therapeutic effectiveness, playing an important role in the drug development process. Focusing on the difficult task of predicting PK parameters, we compiled an extensive ...
Uncertainty Bayes Theorem Models, Biological Pharmacokinetics Humans Drug Discovery Drug Development Neural Networks, Computer Animals
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Prediction of the risk of mortality in older patients with coronavirus disease 2019 using blood markers and machine learning.

Frontiers in immunology Nov 1, 2024
INTRODUCTION: The mortality rate among older people infected with severe acute respiratory syndrome coronavirus 2 is alarmingly high. This study aimed to explore the predictive value of a novel model for assessing the risk of death in this vulnerable...
Area Under Curve Bayes Theorem Lymphocytes Regression Analysis Predictive Value of Tests C-Reactive Protein SARS-CoV-2 Interleukin-6 Leukocyte Count Male Monocytes Aged Prediction Algorithms Neutrophils China Biomarkers Aged, 80 and over Humans Female Machine Learning COVID-19
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Effects of interval treadmill training on spatiotemporal parameters in children with cerebral palsy: A machine learning approach.

Journal of biomechanics Oct 28, 2024
Quantifying individualized rehabilitation responses and optimizing therapy for each person is challenging. For interventions like treadmill training, there are multiple parameters, such as speed or incline, that can be adjusted throughout sessions. T...
Cerebral Palsy Exercise Test Gait Machine Learning Exercise Therapy Female Male Humans Child, Preschool Adolescent Child Bayes Theorem
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Machine learning reveals correlations between brain age and mechanics.

Acta biomaterialia Oct 28, 2024
Our brain undergoes significant micro- and macroscopic changes throughout its life cycle. It is therefore crucial to understand the effect of aging on the mechanical properties of the brain in order to develop accurate personalized simulations and di...
Aging Swine Bayes Theorem Machine Learning Biomechanical Phenomena Compressive Strength Animals Stress, Mechanical Brain Anisotropy
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Machine learning driven bioequivalence risk assessment at an early stage of generic drug development.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Oct 26, 2024
BACKGROUND: Bioequivalence risk assessment as an extension of quality risk management lacks examples of quantitative approaches to risk assessment at an early stage of generic drug development. The aim of our study was to develop a model-based approa...
Humans Machine Learning Bayes Theorem Solubility Risk Assessment Drug Development Biological Availability Therapeutic Equivalency Drugs, Generic
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An Efficient Muscle Segmentation Method via Bayesian Fusion of Probabilistic Shape Modeling and Deep Edge Detection.

IEEE transactions on bio-medical engineering Oct 25, 2024
OBJECTIVE: Paraspinal muscle segmentation and reconstruction from MR images are critical to implement quantitative assessment of chronic and recurrent low back pains. Due to unclear muscle boundaries and shape variations, current segmentation methods...
Humans Algorithms Adult Models, Statistical Bayes Theorem Low Back Pain Paraspinal Muscles Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging
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Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy.

Gene Oct 18, 2024
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to identify new biomarkers. Immune responses play a crucial role in DR, yet there are currently no reports of machine learning (ML) algorithms being utilize...
Bayes Theorem Early Diagnosis Molecular Targeted Therapy Machine Learning Humans Molecular Docking Simulation Gene Regulatory Networks Algorithms Diabetic Retinopathy Gene Expression Profiling Support Vector Machine Biomarkers
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Leveraging Broad-Spectrum Fluorescence Data and Machine Learning for High-Accuracy Bacterial Species Identification.

Journal of biophotonics Oct 17, 2024
Rapid and accurate identification of bacterial species is essential for the effective treatment of infectious diseases and suppression of antibiotic-resistant strains. The unique autofluorescence properties of bacterial cells are exploited for rapid ...
Bayes Theorem Machine Learning Bacteria Spectrometry, Fluorescence
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Enhancing the accuracy and effectiveness of diagnosis of spontaneous bacterial peritonitis in cirrhotic patients: A machine learning approach utilizing clinical and laboratory data.

Advances in medical sciences Oct 16, 2024
PURPOSE: Spontaneous bacterial peritonitis (SBP) is a bacterial infection of ascitic fluid that develops naturally, without being triggered by any surgical conditions or procedures, and is a common complication of cirrhosis. With a potential mortalit...
Humans Machine Learning Biomarkers Liver Cirrhosis Female Bacterial Infections Bayes Theorem Peritonitis Aged Male Middle Aged
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