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Showing 1009-1029 of 6,345 articles

Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation.

OBJECTIVE: Photoplethysmography (PPG) monitoring has been implemented in many portable and wearable ...

Dec 2019 PMID: 31766037

Efficient identification of novel anti-glioma lead compounds by machine learning models.

Glioblastoma multiforme (GBM) is the most devastating and widespread primary central nervous system ...

Dec 2019 PMID: 31978780

Predicting fish kills and toxic blooms in an intensive mariculture site in the Philippines using a machine learning model.

Harmful algal blooms (HABs) that produce toxins and those that lead to fish kills are global problem...

Dec 2019 PMID: 31972913

In vitro selection of DNA aptamers and their integration in a competitive voltammetric biosensor for azlocillin determination in waste water.

The uncontrolled usage of veterinary antibiotics has led to their widespread pollution in waterways ...

Dec 2019 PMID: 32029106

Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity.

OBJECTIVE: Somatic symptom disorder (SSD) is a reflection of medically unexplained physical symptoms...

Dec 2019 PMID: 31645030

Investigating the effect of gold nanoparticles on hydatid cyst protoscolices under low-power green laser irradiation.

OBJECTIVES: Various scolicidal agents are applied for the destruction of protoscolices in cysts medi...

Dec 2019 PMID: 32551429

Effective allocation of resources in water pollution treatment alternatives: a multi-stage gray group decision-making method based on hesitant fuzzy linguistic term sets.

With the significant economic shift, water pollution treatment has gradually become a key problem wh...

Dec 2019 PMID: 31838682

Biomonitoring of concentrations of polycyclic aromatic hydrocarbons in blood and urine of children at playgrounds within Owerri, Imo State, Nigeria.

Polycyclic aromatic hydrocarbons (PAHs) exposure is among the leading air pollutants associated with...

Dec 2019 PMID: 32008304

Machine Learning Models Based on Molecular Fingerprints and an Extreme Gradient Boosting Method Lead to the Discovery of JAK2 Inhibitors.

Developing Janus kinase 2 (JAK2) inhibitors has become a significant focus for small-molecule drug d...

Dec 2019 PMID: 31746601

NNTox: Gene Ontology-Based Protein Toxicity Prediction Using Neural Network.

With advancements in synthetic biology, the cost and the time needed for designing and synthesizing ...

Nov 2019 PMID: 31784686

Heartbeat classification using deep residual convolutional neural network from 2-lead electrocardiogram.

BACKGROUND: The electrocardiogram (ECG) has been widely used in the diagnosis of heart disease such ...

Nov 2019 PMID: 31812617

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM concentration.

A typical challenge in air pollution epidemiology is to perform detailed exposure assessment for ind...

Nov 2019 PMID: 32863727

An artificial neural network ensemble approach to generate air pollution maps.

The objective of this research is to propose an artificial neural network (ANN) ensemble in order to...

Nov 2019 PMID: 31701254

Highly Efficient, Transparent, and Multifunctional Air Filters Using Self-Assembled 2D Nanoarchitectured Fibrous Networks.

Particulate matter (PM) pollution is a significant burden on global economies and public health. Mos...

Nov 2019 PMID: 31664816

Public Health & Policy

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Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation.

Efficient identification of novel anti-glioma lead compounds by machine learning models.

Predicting fish kills and toxic blooms in an intensive mariculture site in the Philippines using a machine learning model.

In vitro selection of DNA aptamers and their integration in a competitive voltammetric biosensor for azlocillin determination in waste water.

Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity.

Investigating the effect of gold nanoparticles on hydatid cyst protoscolices under low-power green laser irradiation.

Effective allocation of resources in water pollution treatment alternatives: a multi-stage gray group decision-making method based on hesitant fuzzy linguistic term sets.

Biomonitoring of concentrations of polycyclic aromatic hydrocarbons in blood and urine of children at playgrounds within Owerri, Imo State, Nigeria.

Machine Learning Models Based on Molecular Fingerprints and an Extreme Gradient Boosting Method Lead to the Discovery of JAK2 Inhibitors.

NNTox: Gene Ontology-Based Protein Toxicity Prediction Using Neural Network.

Heartbeat classification using deep residual convolutional neural network from 2-lead electrocardiogram.

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM concentration.

An artificial neural network ensemble approach to generate air pollution maps.

Highly Efficient, Transparent, and Multifunctional Air Filters Using Self-Assembled 2D Nanoarchitectured Fibrous Networks.

Machine Learning-Based Forecast of Hemorrhagic Stroke Healthcare Service Demand considering Air Pollution.

Antiproliferative, neurotoxic, genotoxic and mutagenic effects of toxic cyanobacterial extracts.

DeltaDelta neural networks for lead optimization of small molecule potency.

Artificial neural network model to predict transport parameters of reactive solutes from basic soil properties.

A Novel Tendon-Driven Soft Actuator with Self-Pumping Property.

Using a deep convolutional neural network to predict 2017 ozone concentrations, 24 hours in advance.

A Novel Air Quality Early-Warning System Based on Artificial Intelligence.

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