AIMC Topic: Machine Learning

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Inversion and validation of soil water-holding capacity in a wild fruit forest, using hyperspectral technology combined with machine learning.

Scientific reports Jul 19, 2025
Soil water retention is a critical aspect of water conservation. To quantitatively assess the Soil Water-Holding Capacity (SWHC), this study focused on a typical wild fruit forest in Xinjiang, China. The spectral characteristics of the forest canopy ...
Trees Fruit China Water Forests Machine Learning Algorithms Soil
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Plasma proteomics for biomarker discovery in childhood tuberculosis.

Nature communications Jul 19, 2025
Failure to rapidly diagnose tuberculosis disease (TB) and initiate treatment is a driving factor of TB as a leading cause of death in children. Current TB diagnostic assays have poor performance in children, thus a global priority is the identificati...
HIV Infections Child, Preschool Child Male Infant Adolescent Tuberculosis Proteomics Proteome Blood Proteins Humans Machine Learning Biomarkers Female
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Unlocking urban soil secrets: machine learning and spectrometry in Berlin's heavy metal pollution study considering spatial data.

Environmental monitoring and assessment Jul 19, 2025
Berlin has historically been impacted by heavy metal (HM) emissions, raising concerns about soil pollution. In this study, machine learning (ML) techniques were applied to predict HM concentrations across the Berlin metropolitan area. A dataset of 66...
Berlin Soil Pollutants Environmental Pollution Metals, Heavy Machine Learning Soil Environmental Monitoring
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Machine learning-guided evolution of pyrrolysyl-tRNA synthetase for improved incorporation efficiency of diverse noncanonical amino acids.

Nature communications Jul 19, 2025
The pyrrolysyl-tRNA synthetase (PylRS) is widely used to incorporate noncanonical amino acids (ncAAs) into proteins. However, the yields of most ncAA-containing protein  remain low due to the limited activity of PylRS variants. Here, we apply machine...
Protein Engineering Codon, Terminator Amino Acyl-tRNA Synthetases RNA, Transfer Lysine Directed Molecular Evolution Machine Learning Mutation Amino Acids
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Multi-modal predictive modeling of schizophrenia severity: Leveraging liver function indicators and cognitive scores with random forest and SVM.

Psychiatry research. Neuroimaging Jul 18, 2025
Schizophrenia is a complex neuropsychiatric disorder with cognitive deficits and systemic physiological disturbances, including emerging links to hepatic dysfunction via the gut-liver-brain axis. Despite growing evidence, the integration of liver fun...
Severity of Illness Index Support Vector Machine Liver Adult Male Middle Aged Aspartate Aminotransferases Liver Function Tests Neuropsychological Tests Schizophrenic Psychology Random Forest Schizophrenia Alanine Transaminase Biomarkers Female Humans Machine Learning
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Navigating protein landscapes with a machine-learned transferable coarse-grained model.

Nature chemistry Jul 18, 2025
The most popular and universally predictive protein simulation models employ all-atom molecular dynamics, but they come at extreme computational cost. The development of a universal, computationally efficient coarse-grained (CG) model with similar pr...
Molecular Dynamics Simulation Protein Conformation Thermodynamics Protein Folding Machine Learning Proteins
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STHD: probabilistic cell typing of single spots in whole transcriptome spatial data with high definition.

Genome biology Jul 18, 2025
Recent advances in spatial transcriptomics technologies have enabled gene expression profiling across the transcriptome in spots with subcellular resolution, but high sparsity and dimensionality present significant computational challenges. We presen...
Tumor Microenvironment Gene Expression Profiling Transcriptome Humans Machine Learning
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Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules.

BMC medical informatics and decision making Jul 18, 2025
BACKGROUND: Pulmonary Nodules (PNs) are a trend considered as the early manifestation of lung cancer. Among them, PNs that remain stable for more than two years or whose pathological results suggest not being lung cancer are considered benign PNs (BP...
Humans Machine Learning Female Multiple Pulmonary Nodules Solitary Pulmonary Nodule Diagnosis, Differential Discriminant Analysis Middle Aged Case-Control Studies Lung Neoplasms Aged Adult Male
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A densely connected framework for cancer subtype classification.

BMC bioinformatics Jul 18, 2025
BACKGROUND: Reliable identification of cancer subtypes is crucial for devising personalized treatment strategies. Integrating multi-omics data has proven to be an effective method for analyzing cancer subtypes. By combining molecular information acro...
Kidney Neoplasms Neoplasms Deep Learning Computational Biology Machine Learning Algorithms Humans
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Sex estimation with parameters of the facial canal by computed tomography using machine learning algorithms and artificial neural networks.

BMC medical imaging Jul 18, 2025
BACKGROUND: The skull is highly durable and plays a significant role in sex determination as one of the most dimorphic bones. The facial canal (FC), a clinically significant canal within the temporal bone, houses the facial nerve. This study aims to ...
Middle Aged Sex Determination by Skeleton Facial Nerve Young Adult Adult Male Temporal Bone Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Neural Networks, Computer
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