AIMC Topic: Machine Learning

Clear Filters Showing 1201 to 1210 of 32557 articles

Multimodal Learning-Assisted Identification of Effluent Water Quality and Toxicity in Wastewater Treatment Plants.

Environmental science & technology Jun 11, 2025
Effluent of wastewater treatment plants (WWTPs) poses significant ecological risks due to potential biological toxicity, demanding effective monitoring and assessment of water quality and toxicity. However, the complexity of the wastewater treatment ...
Machine Learning Environmental Monitoring Water Pollutants, Chemical Water Quality Water Purification Wastewater Waste Disposal, Fluid
View on PubMed DOI

Automated identification of serotype using MALDI-TOF mass spectrometry and machine learning techniques.

Journal of clinical microbiology Jun 11, 2025
UNLABELLED: serotyping is essential for epidemiological studies and clinical treatment guidance. However, traditional serological agglutination methods are time-consuming, technically complex, and difficult to adopt at scale. Matrix-assisted laser d...
Serotyping Salmonella Infections Serogroup Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Algorithms Humans Salmonella Machine Learning
View on PubMed DOI

Machine Learning-Enhanced Chemiresistive Sensors for Ultra-Sensitive Detection of Methanol Adulteration in Alcoholic Beverages.

ACS sensors Jun 11, 2025
Methanol poisoning poses significant health risks, particularly in less developed countries, where adulterated alcoholic beverages often lead to severe morbidity and mortality. Current diagnostic methods, such as gas-liquid chromatography and blood g...
Machine Learning Food Contamination Alcoholic Beverages Metal-Organic Frameworks Methanol Graphite Principal Component Analysis Limit of Detection
View on PubMed DOI

Multivariate and Machine Learning-Derived Virtual Staining and Biochemical Quantification of Cancer Cells through Raman Hyperspectral Imaging.

Analytical chemistry Jun 11, 2025
Advances in virtual staining and spatial omics have revolutionized our ability to explore cellular architecture and molecular composition with unprecedented detail. Virtual staining techniques, which rely on computational algorithms to map molecular ...
Multivariate Analysis Collagen Hyperspectral Imaging Staining and Labeling Spectrum Analysis, Raman Machine Learning Principal Component Analysis Algorithms Humans Cell Line, Tumor Least-Squares Analysis Neural Networks, Computer Lipids
View on PubMed DOI

Robust Multiclass Feature Selection for the Authentication of Honey Botanical Origin via Nontargeted LC-MS Analysis.

Analytical chemistry Jun 11, 2025
Honey is one of the most frequently frauded foods due to the high market price of certain kinds of monofloral honey. Traditional authentication methods involving pollen or targeted analysis have limitations that can be manipulated by fraudsters. Nont...
Machine Learning Support Vector Machine Honey Chromatography, Liquid Liquid Chromatography-Mass Spectrometry Mass Spectrometry
View on PubMed DOI

Massively parallel genetic perturbation suggests the energetic structure of an amyloid-β transition state.

Science advances Jun 11, 2025
Amyloid aggregates are pathological hallmarks of many human diseases, but how soluble proteins nucleate to form amyloids is poorly understood. Here, we use combinatorial mutagenesis, a kinetic selection assay, and machine learning to massively pertur...
Mutation Kinetics Peptide Fragments Humans Machine Learning Protein Aggregates Alzheimer Disease Thermodynamics Amyloid beta-Peptides
View on PubMed DOI

Diagnostic accuracy of machine learning-based magnetic resonance imaging models in breast cancer classification: a systematic review and meta-analysis.

World journal of surgical oncology Jun 11, 2025
OBJECTIVE: This meta-analysis evaluates the diagnostic accuracy of machine learning (ML)-based magnetic resonance imaging (MRI) models in distinguishing benign from malignant breast lesions and explores factors influencing their performance.
Magnetic Resonance Imaging Female Humans Machine Learning Sensitivity and Specificity Breast Neoplasms
View on PubMed DOI

28-day all-cause mortality in patients with alcoholic cirrhosis: a machine learning prediction model based on the MIMIC-IV.

Clinical and experimental medicine Jun 11, 2025
To develop and validate a machine learning prediction model for 28-day all-cause mortality in patients with alcoholic cirrhosis using data from the MIMIC-IV database. The data of 2134 patients diagnosed with alcoholic cirrhosis (AC) were obtained fro...
Humans Male Female Risk Factors Middle Aged Machine Learning ROC Curve Aged Adult Liver Cirrhosis, Alcoholic
View on PubMed DOI

Next-Generation Sequencing-Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non-Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods.

JMIR cancer Jun 11, 2025
BACKGROUND: Next-generation sequencing (NGS) has become a cornerstone of treatment for lung cancer and is recommended in current treatment guidelines for patients with advanced or metastatic disease.
United States Carcinoma, Non-Small-Cell Lung High-Throughput Nucleotide Sequencing Male Middle Aged Lung Neoplasms Adult Biomarkers, Tumor Machine Learning Female Aged Humans
View on PubMed DOI

Preparing Tomorrow's Physicians: The Case for Machine Learning in Medical Education.

Journal of medical systems Jun 11, 2025
Machine learning should be integrated into medical curricula to prepare physicians-in-training for 21st-century practice conditions. This comment proposes practical implementation strategies that build upon existing educational frameworks by drawing ...
Humans Machine Learning Curriculum Education, Medical
View on PubMed DOI
Popular Topics
Recent Journals