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Subcategories: COVID-19 Flu & URI Hepatitis HIV/AIDS Public Health STDs Swine Flu Vaccines

Showing 1-21 of 8,018 articles

Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models.

The development and refinement of artificial intelligence (AI) and machine learning algorithms have ...

Aug 2025 PMID: 40784939

Pulmonary diseases accurate recognition using adaptive multiscale feature fusion in chest radiography.

Pulmonary disease can severely impair respiratory function and be life-threatening. Accurately recog...

Aug 2025 PMID: 40784886

Machine Learning-Enhanced Nanozyme Sensor Array for Accurate Multiple Quinolone Antibiotics Recognition.

The overuse of quinolone antibiotics (QNs) seriously endangers human health and the ecological envir...

Aug 2025 PMID: 40783930

Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation vir...

Aug 2025 PMID: 40783602

Comprehensive multi-omics analysis reveals the core role of glycerophospholipid metabolism in the influence of short-chain fatty acids on the development of sepsis.

Sepsis is a systemic inflammatory response syndrome caused by infection, which has a high morbidity ...

Aug 2025 PMID: 40783504

The urinary microbiome distinguishes symptomatic urinary tract infection from asymptomatic older adult patients presenting to the Emergency department.

Older adults suffer from a high rate of asymptomatic bacteriuria (ASB), in which urinalysis may appe...

Aug 2025 PMID: 40782046

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy's impact on ART adherence.

Adherence to antiretroviral therapy (ART) is critical for HIV treatment success, yet the impact of t...

Aug 2025 PMID: 40781349

Beyond genomics: a multiomics future for parasitology.

Parasitology has long relied on genomics and transcriptomics to explore gene function, diversity, an...

Aug 2025 PMID: 40783337

How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a Behavioural Artificial Intelligence Technology (BAIT) approach.

OBJECTIVES: To identify relevant objective variables for retrospective identification of 'suspected ...

Aug 2025 PMID: 40782615

Enhancing India's Health Security Efforts Against : Gaps and Opportunities.

India bears a quarter of the world's tuberculosis (TB) burden. In 2018, the country set an ambitious...

Aug 2025 PMID: 40781735

Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure.

BACKGROUND: Sepsis is frequently combined with acute liver failure (ALF), a critical determinant in ...

Aug 2025 PMID: 40781631

Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods.

COVID-19 has posed a significant global health challenge, affecting individuals across all age group...

Aug 2025 PMID: 40781476

Deep learning approach for automated hMPV classification.

Human metapneumovirus (hMPV) is a significant cause of respiratory illness, particularly in children...

Aug 2025 PMID: 40781468

Effects of a Theory- and Evidence-Based, Motivational Interviewing-Oriented Artificial Intelligence Digital Assistant on Vaccine Attitudes: A Randomized Controlled Trial.

BACKGROUND: Attitude-targeted interventions are important approaches for promoting vaccination. Educ...

Aug 2025 PMID: 40779743

A neural network model enables worm tracking in challenging conditions and increases signal-to-noise ratio in phenotypic screens.

High-resolution posture tracking of C. elegans has applications in genetics, neuroscience, and drug ...

Aug 2025 PMID: 40779582

A Cohort Study of Pediatric Severe Community-Acquired Pneumonia Involving AI-Based CT Image Parameters and Electronic Health Record Data.

INTRODUCTION: Community-acquired pneumonia (CAP) is a significant concern for children worldwide and...

Aug 2025 PMID: 40779006

Browse Specialties

Distilling knowledge from graph neural networks trained on cell graphs to non-neural student models.

Pulmonary diseases accurate recognition using adaptive multiscale feature fusion in chest radiography.

Machine Learning-Enhanced Nanozyme Sensor Array for Accurate Multiple Quinolone Antibiotics Recognition.

Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Comprehensive multi-omics analysis reveals the core role of glycerophospholipid metabolism in the influence of short-chain fatty acids on the development of sepsis.

The urinary microbiome distinguishes symptomatic urinary tract infection from asymptomatic older adult patients presenting to the Emergency department.

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy's impact on ART adherence.

Beyond genomics: a multiomics future for parasitology.

How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a Behavioural Artificial Intelligence Technology (BAIT) approach.

Enhancing India's Health Security Efforts Against : Gaps and Opportunities.

Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure.

Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods.

Deep learning approach for automated hMPV classification.

Effects of a Theory- and Evidence-Based, Motivational Interviewing-Oriented Artificial Intelligence Digital Assistant on Vaccine Attitudes: A Randomized Controlled Trial.

A neural network model enables worm tracking in challenging conditions and increases signal-to-noise ratio in phenotypic screens.

A Cohort Study of Pediatric Severe Community-Acquired Pneumonia Involving AI-Based CT Image Parameters and Electronic Health Record Data.

LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

Pharmacovigilance: Overview of Italian and European regulations, tools, and perspectives.

Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN).

Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study.

Quantum Federated Learning in Healthcare: The Shift from Development to Deployment and from Models to Data.

Browse Specialties