Pulmonology

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Machine learning methods have been applied to many data sets in pharmaceutical research for several decades. The relative ease and availability of fingerprint type molecular descriptors paired with Bayesian methods resulted in the widespread use of this approach for a diverse array of end points relevant to drug discovery. Deep learning is the latest machine learning algorithm attracting attention...

Serum ferritin as a non-invasive marker in the prediction of hepatic fibrosis among Egyptian patients with non-alcoholic fatty liver disease.

BACKGROUND AND AIM: Many studies have found a relationship between hepatic iron, serum ferritin, and non-alcoholic fatty liver disease (NAFLD) or its progress. The aim of this study is to assess the value of serum ferritin as a non-invasive marker in the prediction of hepatic fibrosis in NAFLD.

Perception and Respiratory Responses of the Upper Airway Mechanism to Added Resistance With Aging.

OBJECTIVES: To assess breathing behaviors and perception of added respiratory loads in young compared to old individuals, and to determine whether agi...

Radiomics and radiogenomics in lung cancer: A review for the clinician.

Lung cancer is responsible for a large proportion of cancer-related deaths across the globe, with delayed detection being perhaps the most significant...

Efficient k-NN Implementation for Real-Time Detection of Cough Events in Smartphones.

The potential  of telemedicine in respiratory health care has not been completely unveiled in part due to the inexistence of reliable objective measur...

Collaborative targeted learning using regression shrinkage.

Causal inference practitioners are routinely presented with the challenge of model selection and, in particular, reducing the size of the covariate se...

Pharmacological evaluation of smooth muscle relaxant and cardiac-modulation potential of Phyla nodiflora in ex-vivo and in-vivo experiments.

OBJECTIVE: To investigate the pharmacological basis of its uses of Phyla nodiflora (P. nodiflora) for the treatment of anomalies predominantly by smoo...

Effects of Fluorosurfactant Structure and Concentration on Drug Availability and Biocompatibility in Water-in-Perfluorocarbon Emulsions for Pulmonary Drug Delivery.

The efficacy of inhaled antibiotics is often impaired by insufficient drug penetration into plugged and poorly ventilated airways. Liquid ventilation ...

Regulating effect of glycyrrhetinic acid on bronchial asthma smooth muscle proliferation and apoptosis as well as inflammatory factor expression through ERK1/2 signaling pathway.

OBJECTIVE: To study the influence of glycyrrhetinic acid (GA) on bronchial asthma (BA) smooth muscle proliferation and apoptosis as well as inflammato...

Lupus pneumonitis presenting with high titre of anti-Ro antibody.

Lupus pneumonitis carries high mortality and is a rare manifestation of systemic lupus erythematosus (SLE). However, it is difficult to diagnose and i...

Loculated transudative pleural effusion masquerading as right upper lobe consolidation in a haemodialysis patient.

Pleural effusion is a common encounter in renal failure patients and frequently possess a diagnostic challenge to clinician especially when it was exu...

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.

BACKGROUND: Early death after a treatment can be seen as a therapeutic failure. Accurate prediction of patients at risk for early mortality is crucial...

The synthesis, biological evaluation and structure-activity relationship of 2-phenylaminomethylene-cyclohexane-1,3-diones as specific anti-tuberculosis agents.

The present study utilised whole cell based phenotypic screening of thousands of diverse small molecules against H37Rv () and identified the cyclohex...

A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network.

This paper presents a novel method for learning the cyclic contents of stochastic time series: the deep time-growing neural network (DTGNN). The DTGNN...

Generation of safe and therapeutically effective human induced pluripotent stem cell-derived hepatocyte-like cells for regenerative medicine.

Hepatocyte-like cells (HLCs) differentiated from human induced pluripotent stem (iPS) cells are expected to be applied for regenerative medicine. In t...

Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare.

Healthcare as we know it is in the process of going through a massive change - from episodic to continuous, from disease focused to wellness and quali...

Serum mannan-binding lectin in patients with pulmonary tuberculosis: Its lack of a relationship to the disease and response to treatment.

Lectin pathway mediates complement activation, which is activated by many microorganisms. This study aimed at determining the serum levels of mannose...

Investigation of damage to Escherichia coli, Listeria monocytogenes and Salmonella Enteritidis exposed to Mentha arvensis L. and M. piperita L. essential oils in pineapple and mango juice by flow cytometry.

The effects of Mentha arvensis L. (MAEO; 0.625 μL/mL) and M. piperita L. (MPEO; 1.25 μL/mL) essential oils on viable cell counts and physiological fun...

A Network Pharmacology-Based Study on the Hepatoprotective Effect of Fructus Schisandrae.

(Wuweizi in Chinese), a common traditional Chinese herbal medicine, has been used for centuries to treat chronic liver disease. The therapeutic effic...

Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database.

The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as prior knowledge for low-dose CT (LdCT) imaging. Howe...