AIMC Topic: Machine Learning

Clear Filters Showing 771 to 780 of 32557 articles

Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

Clinical and experimental medicine Jul 8, 2025
The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highlights the importance of monitoring immune responses to guide vaccination strategies. Although neutralizing antibodies (NAbs) have garnered increasing ...
Vaccines, Inactivated CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Healthy Volunteers Adult Male Middle Aged Immunity, Cellular COVID-19 Vaccines Antibodies, Viral Female SARS-CoV-2 Humans Young Adult Machine Learning COVID-19
View on PubMed DOI

Electronic-Nose Technology for Lung Cancer Detection: A Non-Invasive Diagnostic Revolution.

Lung Jul 8, 2025
BACKGROUND: Lung cancer (LC) remains a leading cause of cancer-related mortality worldwide, primarily due to late-stage diagnosis and the absence of effective early detection methods.
Humans Artificial Intelligence Volatile Organic Compounds Breath Tests Electronic Nose Machine Learning Lung Neoplasms Early Detection of Cancer
View on PubMed DOI

Evaluating cell-free DNA integrity index as a non-invasive biomarker for neoadjuvant chemotherapy in colorectal cancer patients.

BMC cancer Jul 8, 2025
BACKGROUND: Neoadjuvant chemotherapy (NAC) is gaining attention as a treatment for advanced colorectal cancer owing to its potential to improve surgical outcomes and prognosis. However, reliable biomarkers to predict the response to NAC are lacking. ...
Chemotherapy, Adjuvant Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Cell-Free Nucleic Acids Aged Prognosis Biomarkers, Tumor Adult Retrospective Studies Humans Male Colorectal Neoplasms Female Middle Aged Machine Learning
View on PubMed DOI

Integrating Machine Learning into Myositis Research: a Systematic Review.

Clinical reviews in allergy & immunology Jul 8, 2025
Idiopathic inflammatory myopathies (IIM) are a group of autoimmune rheumatic diseases characterized by proximal muscle weakness and extra muscular manifestations. Since 1975, these IIM have been classified into different clinical phenotypes. Each cli...
Humans Machine Learning Myositis Support Vector Machine Magnetic Resonance Imaging Diagnosis, Differential
View on PubMed DOI

Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues.

Scientific reports Jul 8, 2025
Collection of systemic tissues from influenza A virus (IAV)-infected ferrets at a fixed timepoint post-inoculation represents a frequent component of risk assessment activities to assess the capacity of IAV to replicate systemically. However, few stu...
Respiratory System Ferrets Orthomyxoviridae Infections Influenza A virus Disease Models, Animal Humans Virus Replication Machine Learning Brain Animals Lung
View on PubMed DOI

Early detection of emerging SARS-CoV-2 Variants from wastewater through genome sequencing and machine learning.

Nature communications Jul 8, 2025
Genome sequencing from wastewater enables accurate and cost-effective identification of SARS-CoV-2 variants. However, existing computational pipelines have limitations in detecting emerging variants not yet characterized in humans. Here, we present a...
Humans Machine Learning COVID-19 Whole Genome Sequencing Genome, Viral Wastewater SARS-CoV-2 Mutation
View on PubMed DOI

Enhancing diabetes risk prediction through focal active learning and machine learning models.

PloS one Jul 8, 2025
To improve the effectiveness of diabetes risk prediction, this study proposes a novel method based on focal active learning strategies combined with machine learning models. Existing machine learning models often suffer from poor performance on imbal...
Risk Factors Male Risk Assessment Diabetes Mellitus Humans Machine Learning Female
View on PubMed DOI

Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks.

PloS one Jul 8, 2025
PURPOSE: Machine learning is a powerful tool to develop algorithms for clinical diagnosis. However, standard machine learning algorithms are not perfectly suited for clinical data since the data are interconnected and may contain time series. As show...
Blood Cell Count Graph Neural Networks Machine Learning Algorithms Sepsis Humans Neural Networks, Computer
View on PubMed DOI

Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data.

PloS one Jul 8, 2025
BACKGROUND: Road traffic accidents (RTAs) are a major public health concern with significant health and economic burdens. Identifying high-risk areas and key contributing factors is essential for developing targeted interventions. While machine learn...
Humans Accidents, Traffic Weather Iran Machine Learning Big Data Bayes Theorem
View on PubMed DOI

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Renal failure Jul 7, 2025
Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization for conditions such as acute kidney injury (AKI) and chronic kidney disease (CKD). AI-driven models...
Nephrology Nephrologists Artificial Intelligence Machine Learning Acute Kidney Injury Reproducibility of Results Renal Insufficiency, Chronic Peer Review, Research Humans
View on PubMed DOI
Popular Topics
Recent Journals