Latest AI and machine learning research in pulmonology for healthcare professionals.
This study aimed to evaluate the effects of high positive-end expiratory pressure (PEEP) and low ti...
BACKGROUND: The thioredxin reductases 1 (TrxR1) is one of the major antioxidant and redox regulators...
BACKGROUND: Asthma is a heterogeneous and complex disease in both its clinical course and response t...
We present our molecular dynamics (MD) study of the effect of Si on the oxidation of α-Ti(0001) sur...
BACKGROUND AND OBJECTIVE: Metabolic syndrome (MetS) is associated with an increased risk of periodon...
OBJECTIVES: To assess ventilatory efficiency and aerobic capacity in people with multiple sclerosis ...
BACKGROUND: Anemia and vitamin D deficiency are highly prevalent in critical illness, and vitamin D ...
OBJECTIVES: The Fontan operation is usually followed by significant pleural effusion. We aimed to st...
Neutrophils are one of the first cells to arrive at the site of infection, where they apply several ...
The angiotensin-(1-7)/angiotensin-converting enzyme 2/Mas receptor axis counter-regulates the detri...
The present study aimed to identify the feature genes associated with smoking in lung adenocarcinoma...
We standardised a Ventilation Mechanical Test (VMT) after video-assisted thoracoscopic surgery (VATS...
OBJECTIVES: The aim of this verification study was to compare the QuantiFERON-TB Gold Plus (QFT-Plus...
First-line anti-tuberculosis drugs are playing vital roles for curbing rapid spread of tuberculosis....
We proposed an unsupervised hybrid method - Intelligent Word Embedding (IWE) that combines neural em...
BACKGROUND: Thiazolidine-2,4-dione ring system is used as a pharmacophore to build various heterocyc...
COPD patients are burdened with a daily risk of acute exacerbation and loss of control, which could ...
The 3D convolutional neural network (CNN) is able to make full use of the spatial 3D context informa...
BACKGROUND: Chronic intermittent hypoxia is known to induce systemic arterial hypertension whereas c...
PURPOSE: To investigate deep reinforcement learning (DRL) based on historical treatment plans for de...
Purpose To evaluate the performance of a deep learning convolutional neural network (CNN) model comp...