AIMC Topic: Machine Learning

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Epidemiological association and machine learning-based prediction of lung cancer risk linked to long-term lagged satellite-derived PM in China.

Frontiers in public health May 30, 2025
OBJECTIVES: This study investigated association between long-term PM exposure and lung cancer incidence, focusing on Jiangsu Province, China. We aimed to explore the effects of historical PM with time lags and build a prediction model using machine l...
Humans Environmental Exposure Air Pollutants Machine Learning Incidence Air Pollution China Lung Neoplasms Particulate Matter
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EODA: A three-stage efficient outlier detection approach using Boruta-RF feature selection and enhanced KNN-based clustering algorithm.

PloS one May 30, 2025
Outlier detection is essential for identifying unusual patterns or observations that significantly deviate from the normal behavior of a dataset. With the rapid growth of data science, the prevalence of anomalies and outliers has increased, which can...
Clustering Algorithms Humans Machine Learning Algorithms Deep Learning Cluster Analysis
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Towards robust medical machine olfaction: Debiasing GC-MS data enhances prostate cancer diagnosis from urine volatiles.

PloS one May 30, 2025
Prostate cancer (PCa) is a major, and increasingly global, health concern with current screening and diagnostic tools' severe limitations causing unnecessary, invasive biopsy procedures. While gas chromatography-mass spectrometry (GC-MS) has been use...
Machine Learning Animals Male Humans Neural Networks, Computer Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Smell Bayes Theorem Prostatic Neoplasms Dogs
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In Silico Screening of Small Molecule Inhibitors for Amyloid-β Aggregation.

Journal of chemical information and modeling May 29, 2025
The self-aggregation of amyloid-β (Aβ) into fibrils is a hallmark of Alzheimer's disease (AD). Inhibition of Aβ aggregation with small molecule compounds represents a promising therapeutic strategy for AD. However, designing effective ligands is chal...
Molecular Docking Simulation Amyloid beta-Peptides Molecular Dynamics Simulation Humans Machine Learning Small Molecule Libraries Drug Evaluation, Preclinical Ligands Protein Aggregates
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Developing Pharmaceutically Relevant Pd-Catalyzed C-N Coupling Reactivity Models Leveraging High-Throughput Experimentation.

Journal of the American Chemical Society May 29, 2025
This manuscript presents machine learning models for Pd-catalyzed C-N couplings constructed using a large, pharmaceutically relevant, structurally diverse dataset (4204 unique products) generated using high-throughput experimentation. The dataset ge...
Carbon Nitrogen Molecular Structure Palladium Catalysis High-Throughput Screening Assays Machine Learning
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PRP: pathogenic risk prediction for rare nonsynonymous single nucleotide variants.

Human genetics May 29, 2025
Reliable prediction of pathogenic variants plays a crucial role in personalized medicine, which aims to provide accurate diagnosis and individualized treatment using genomic medicine. This study introduces PRP, a pathogenic risk prediction for rare n...
Computational Biology Machine Learning Humans Software Algorithms Precision Medicine Genetic Predisposition to Disease Polymorphism, Single Nucleotide
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Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.

BMC public health May 29, 2025
BACKGROUND: The global malaria burden is characterized by economic, geographical, and climatic disparities, especially in sub-Saharan Africa (SSA). Moreover, meteorological factors have become increasingly important to understand the malaria burden i...
Bayes Theorem Malaria Geographic Information Systems Weather Humans Africa South of the Sahara Machine Learning Spatio-Temporal Analysis Climate Change Incidence Cost of Illness
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Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke.

Scientific reports May 29, 2025
Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environmental and genetic factors, which can lead to severe disability and heavy social burden. This study aimed to find potential biomarkers related to T cell...
Computational Biology Databases, Genetic Ischemic Stroke T-Cell Exhaustion T-Lymphocytes Gene Expression Profiling Gene Regulatory Networks Algorithms Biomarkers Humans Machine Learning
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Decoding dynamic brain networks in Parkinson's disease with temporal attention.

Scientific reports May 29, 2025
Detecting brief, clinically meaningful changes in brain activity is crucial for understanding neurological disorders. Conventional imaging analyses often overlook these subtle events due to computational demands. IMPACT (Integrative Multimodal Pipeli...
Humans Machine Learning Parkinson Disease Brain Mapping Nerve Net Male Middle Aged Magnetic Resonance Imaging Brain Female Aged
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees.

Scientific reports May 29, 2025
Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. The improper classification of these images leads towards higher complexity in classification process...
Lung Neoplasms Decision Trees Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Machine Learning Algorithms
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