Pulmonology

Automatic Diagnosis of Obstructive Sleep Apnea/Hypopnea Events Using Respiratory Signals.

Obstructive sleep apnea is a sleep disorder which may lead to various results. While some studies us...

Reliability of Percutaneous Pulmonary Vent and Coronary Sinus Cardioplegia in the Setting of Minimally Invasive Aortic Valve Replacement: A Single-Center Experience.

OBJECTIVES: Evaluating the efficacy of 2 new percutaneous devices specifically designed to be placed...

MAG-DPA curbs inflammatory biomarkers and pharmacological reactivity in cytokine-triggered hyperresponsive airway models.

Bronchial inflammation contributes to a sustained elevation of airway hyperresponsiveness (AHR) in a...

Predicting early psychiatric readmission with natural language processing of narrative discharge summaries.

The ability to predict psychiatric readmission would facilitate the development of interventions to ...

Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.

OBJECTIVE: Text and data mining play an important role in obtaining insights from Health and Hospita...

Virtual screening of natural compounds as inhibitors of EGFR 696-1022 T790M associated with non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the most dominating and lethal type of lung cancer triggering ...

Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM.

Lung cancer is the major cause of death among patients with cancer worldwide. This work is intended ...

Experimental phage therapy against haematogenous multi-drug resistant pneumonia in mice.

BACKGROUND: Community-acquired haematogenous pneumonia is a rare infection, though it can be acquir...

Differential association of plasma monocyte chemoattractant protein-1 with systemic inflammatory and airway remodeling biomarkers in type-2 diabetic patients with and without asthma.

BACKGROUND: Chronic inflammation is a hallmark of type-2 diabetes (T2D) and asthma. Monocyte chemoat...

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection.

OBJECTIVE: False positive reduction is one of the most crucial components in an automated pulmonary ...

Artificial Intelligence and Amikacin Exposures Predictive of Outcomes in Multidrug-Resistant Tuberculosis Patients.

Aminoglycosides such as amikacin continue to be part of the backbone of treatment of multidrug-resis...

Brief isoflurane anaesthesia affects differential gene expression, gene ontology and gene networks in rat brain.

Much is still unknown about the mechanisms of effects of even brief anaesthesia on the brain and pre...

Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough Sets.

In order to improve the detection accuracy of pulmonary nodules in CT image, considering two problem...

Machine learning approaches to personalize early prediction of asthma exacerbations.

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

Risk analysis of lung cancer and effects of stress level on cancer risk through neuro-fuzzy model.

A significant number of people pass away due to limited medical resources for the battle with cancer...

Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns.

PURPOSE: For realizing computer-aided diagnosis (CAD) of computed tomography (CT) images, many patte...

Cognitive bio-radar: The natural evolution of bio-signals measurement.

In this article we discuss a novel approach to Bio-Radar, contactless measurement of bio-signals, ca...

Prediction of Ventricular Tachycardia One Hour before Occurrence Using Artificial Neural Networks.

Ventricular tachycardia (VT) is a potentially fatal tachyarrhythmia, which causes a rapid heartbeat ...

Predicting lung cancer prognosis using machine learning.

Prevention of Unilateral Pulmonary Edema Complicating Robotic Mitral Valve Operations.

BACKGROUND: Unilateral pulmonary edema (UPE) has been reported after mitral operations performed thr...

Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy.

To develop a patient-specific 'big data' clinical decision tool to predict pneumonitis in stage I no...