Pulmonology

COPD

Latest AI and machine learning research in copd for healthcare professionals.

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Showing 484-504 of 4,163 articles
Cross-Disciplinary Consultancy to Enhance Predictions of Asthma Exacerbation Risk in Boston.

This paper continues an initiative conducted by the International Society for Disease Surveillance w...

Highly sensitive detection of multiple tumor markers for lung cancer using gold nanoparticle probes and microarrays.

Assay of multiple serum tumor markers such as carcinoembryonic antigen (CEA), cytokeratin 19 fragmen...

Multiple Cross Displacement Amplification Combined with Gold Nanoparticle-Based Lateral Flow Biosensor for Detection of .

() is a marine seafood-borne pathogen causing severe illnesses in humans and aquatic animals. In th...

Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks.

This study aims to develop an automatic classifier based on deep learning for exacerbation frequency...

Graphene oxide and carboxylated graphene oxide: Viable two-dimensional nanolabels for lateral flow immunoassays.

Graphene oxide (GO) and carboxylated GO were used as labels for lateral flow immunoassays, instead o...

Bioactive components of L. black gold (red cherry) and L. stark gold (white cherry) juices, wines and vinegars.

Cherries are one of the most popular fruits, characterized by attractive colour, firmness, appearanc...

Exploiting the protein corona around gold nanorods for low-dose combined photothermal and photodynamic therapy.

A nanodevice comprising human serum (HS) protein corona coated gold nanorods (NRs) has been develope...

Analysis of correlation between pediatric asthma exacerbation and exposure to pollutant mixtures with association rule mining.

OBJECTIVES: Traditional studies on effects of outdoor pollution on asthma have been criticized for q...

Predicting the Fine Particle Fraction of Dry Powder Inhalers Using Artificial Neural Networks.

Dry powder inhalers are increasingly popular for delivering drugs to the lungs for the treatment of ...

Boosted Multivariate Trees for Longitudinal Data.

Machine learning methods provide a powerful approach for analyzing longitudinal data in which repeat...

Energy Efficient Monitoring of Metered Dose Inhaler Usage.

Life-long chronic inflammatory diseases of the airways, such as asthma and Chronic Obstructive Pulmo...

Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume.

PURPOSE: Airway segmentation plays an important role in analyzing chest computed tomography (CT) vol...

Gold Nanoparticle-Based Colorimetric and Electrochemical Methods for Dipeptidyl Peptidase-IV Activity Assay and Inhibitor Screening.

We presented the colorimetric and electrochemical methods for determination of the dipeptidyl peptid...

Machine learning approaches to personalize early prediction of asthma exacerbations.

Patient telemonitoring results in an aggregation of significant amounts of information about patient...

Investigation of the influence of protein corona composition on gold nanoparticle bioactivity using machine learning approaches.

The understanding of the mechanisms and interactions that occur when nanomaterials enter biological ...

Predicting ground contact events for a continuum of gait types: An application of targeted machine learning using principal component analysis.

An ongoing challenge in the application of gait analysis to clinical settings is the standardized de...

Protective coatings for intraocular wirelessly controlled microrobots for implantation: Corrosion, cell culture, and in vivo animal tests.

Diseases in the ocular posterior segment are a leading cause of blindness. The surgical skills requi...

Outcome of Inhaler Withdrawal in Patients Receiving Triple Therapy for COPD.

BACKGROUND: The purpose of this study was to document outcomes following withdrawal of a single inha...

Layer-by-layer assembly of gold nanoparticles and cysteamine on gold electrode for immunosensing of human chorionic gonadotropin at picogram levels.

The development of an electrochemical immunosensor for the detection of human chorionic gonadotropin...

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