Latest AI and machine learning research in pulmonology for healthcare professionals.
We present our molecular dynamics (MD) study of the effect of Si on the oxidation of α-Ti(0001) surfaces. We varied the Si concentration in the first layer of the surface from 0 to 25 at.% and the oxygen coverage () on the surface was varied up to 1 monolayer (ML). The MD was performed at 300, 600 and 973 K. For = 0.5 ML, oxygen penetration into the slab was not observed after 16 ps of MD at 973...
OBJECTIVES: To assess ventilatory efficiency and aerobic capacity in people with multiple sclerosis and whether treadmill walking or progressive strength training has an effect on these parameters in this population.
BACKGROUND: Anemia and vitamin D deficiency are highly prevalent in critical illness, and vitamin D status has been associated with hemoglobin concent...
OBJECTIVES: The Fontan operation is usually followed by significant pleural effusion. We aimed to study the factors associated with persistent pleural...
Neutrophils are one of the first cells to arrive at the site of infection, where they apply several strategies to kill pathogens: degranulation, respi...
The angiotensin-(1-7)/angiotensin-converting enzyme 2/Mas receptor axis counter-regulates the detrimental effects of angiotensin II. Beneficial effec...
The present study aimed to identify the feature genes associated with smoking in lung adenocarcinoma (LAC) samples and explore the underlying mechanis...
We standardised a Ventilation Mechanical Test (VMT) after video-assisted thoracoscopic surgery (VATS) lobectomy that classifies intraoperative alveola...
Vitamin D deficiency causes rickets, but has been associated with various diseases, including atopic dermatitis (AD). This study analyzes serum vitami...
OBJECTIVES: The aim of this verification study was to compare the QuantiFERON-TB Gold Plus (QFT-Plus) to the QuantiFERON-TB Gold In Tube (QFT-GIT). Th...
The Golgi Apparatus (GA) is a key organelle for protein synthesis within the eukaryotic cell. The main task of GA is to modify and sort proteins for t...
First-line anti-tuberculosis drugs are playing vital roles for curbing rapid spread of tuberculosis. Multidrug therapies are commonly applied in clini...
We proposed an unsupervised hybrid method - Intelligent Word Embedding (IWE) that combines neural embedding method with a semantic dictionary mapping ...
BACKGROUND: Thiazolidine-2,4-dione ring system is used as a pharmacophore to build various heterocyclic compounds aimed to interact with biological ta...
COPD patients are burdened with a daily risk of acute exacerbation and loss of control, which could be mitigated by effective, on-demand decision supp...
The 3D convolutional neural network (CNN) is able to make full use of the spatial 3D context information of lung nodules, and the multi-view strategy ...
BACKGROUND: Chronic intermittent hypoxia is known to induce systemic arterial hypertension whereas chronic hypoxia causes pulmonary arterial hypertens...
PURPOSE: To investigate deep reinforcement learning (DRL) based on historical treatment plans for developing automated radiation adaptation protocols ...
Purpose To evaluate the performance of a deep learning convolutional neural network (CNN) model compared with a traditional natural language processin...
OBJECTIVE: To build a fuzzy computational model to estimate the number of hospitalizations of children aged up to 10 years due to respiratory conditio...