AIMC Topic: Machine Learning

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In silico prediction of variant effects: promises and limitations for precision plant breeding.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jul 28, 2025
Sequence-based AI models show great potential for prediction of variant effects at high resolution, but their practical value in plant breeding remains to be confirmed through rigorous validation studies. Plant breeding has traditionally relied on ph...
Plant Breeding Plants Genetic Variation Genome, Plant Computer Simulation Genomics Models, Genetic Machine Learning Phenotype
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Machine learning-based prediction of nitrogen-fixing efficiency in Cowpea rhizobia from the Brazilian semiarid.

World journal of microbiology & biotechnology Jul 28, 2025
This study explores the potential of machine learning to predict nitrogen fixation efficiency in rhizobia strains associated with cowpea (Vigna unguiculata), aiming to optimize bioinoculant selection for sustainable agriculture. Eight native strains ...
Nitrogen Fixation Rhizobium Machine Learning Brazil Soil Microbiology Nitrogen Vigna
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Integrated multi-omics analysis and machine learning refine molecular subtypes and prognosis in hepatocellular carcinoma through O-linked glycosylation genes.

Functional & integrative genomics Jul 28, 2025
O-glycosylation significantly influences cellular physiological processes and disease regulation by modulating the structure, function, and stability of proteins. However, there is a notable gap in research focusing on O-glycosylation in relation to ...
Machine Learning Prognosis Biomarkers, Tumor Humans Multiomics Gene Expression Regulation, Neoplastic Glycosylation Liver Neoplasms Carcinoma, Hepatocellular Gene Regulatory Networks
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EEG-based speech imagery decoding by dynamic hypergraph learning within projected and selected feature subspaces.

Journal of neural engineering Jul 28, 2025
Speech imagery is a nascent paradigm that is receiving widespread attention in current brain-computer interface (BCI) research. By collecting the electroencephalogram (EEG) data generated when imagining the pronunciation of a sentence or word in huma...
Speech Electroencephalography Brain-Computer Interfaces Imagination Young Adult Adult Male Humans Machine Learning Female
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Enhancing surface electromyographic signal recognition accuracy for trans-radial amputees using broad learning systems.

Biomedical physics & engineering express Jul 28, 2025
Gesture recognition based on surface electromyography (sEMG) plays a crucial role in human-computer interaction. By analyzing sEMG signals generated from residual forearm muscle activity in trans-radial amputees, it is possible to predict their hand ...
Movement Forearm Middle Aged Amputees Humans Gestures Artificial Limbs Female Signal Processing, Computer-Assisted Machine Learning Muscle, Skeletal Adult Pattern Recognition, Automated Hand Algorithms Male Electromyography
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Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach.

PloS one Jul 28, 2025
BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality and morbidity in China and worldwide while we are lacking in validated primary prevention model specifically for Chinese. To identify CVD high-risk individuals for early inter...
Models, Statistical Hong Kong Humans Primary Prevention Middle Aged Aged Risk Assessment Male East Asian People Cardiovascular Diseases Machine Learning Female Risk Factors
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Identifying key physiological and clinical factors for traumatic brain injury patient management using network analysis and machine learning.

PloS one Jul 28, 2025
In the intensive care unit (ICU), managing traumatic brain injury (TBI) patients presents significant challenges due to the dynamic interaction between physiological and clinical markers. This study aims to uncover these subtle interconnections and i...
Humans Neural Networks, Computer Machine Learning Intensive Care Units Female Aged Blood Pressure Heart Rate Glasgow Coma Scale Middle Aged Electrocardiography Brain Injuries, Traumatic Young Adult Adult Male
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Finding the original mass: A machine learning model and its deployment for lithic scrapers.

PloS one Jul 28, 2025
Predicting the original mass of a retouched scraper has long been a major goal in lithic analysis. It is commonly linked to lithic technological organization of past societies along with notions of stone tool general morphology, standardization throu...
Machine Learning Archaeology
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Interpretable machine learning approaches for predicting prostate cancer by using multiple heavy metal exposures based on the data from NHANES 2003-2018.

Ecotoxicology and environmental safety Jul 26, 2025
Environmental pollution plays a major role in the development of prostate cancer (PCA). However, there has been no research on machine learning (ML) modelling between multiple heavy metal exposures and PCA risk. Based on the 8022 samples from the 200...
Machine Learning Male Middle Aged Humans Prostatic Neoplasms Environmental Pollutants Environmental Exposure Metals, Heavy Risk Assessment Nutrition Surveys United States
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Quantum-Embedded Graph Neural Network Architecture for Molecular Property Prediction.

Journal of chemical information and modeling Jul 26, 2025
Accurate prediction of molecular properties is crucial for accelerating the development of new drugs, and quantum machine learning (QML) holds great promise in this domain. A typical QML pipeline comprises two core stages: encoding classical data int...
Quantum Theory Graph Neural Networks Neural Networks, Computer Machine Learning
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