A Karnataka-based start-up has developed an AI-powered app, Shwaasa, that analyses cough sounds to screen for chronic lung diseases such as COPD and asthma. The tool has been validated by AIIMS and ...
Normal Comm. and United Twp. will face off on Tuesday, Jan. 6 at 7:15 p.m. CT. Don't miss out on any of the action with NFHS Network. The NFHS Network gives you access to live high school sports ...
In Bob Odenkirk’s latest action thriller, he discovers that his small town is far from “Normal.” Odenkirk reteamed with his “Nobody” writer Derek Kolstad and producer Marc Provissiero (also from ...
In support of World COPD Day on November 19, the Global Initiative for Chronic Obstructive Lung Disease (GOLD), is drawing attention to the importance of correctly diagnosing COPD earlier - with the ...
Chronic obstructive pulmonary disease, or COPD, is the fourth leading cause of death worldwide, responsible for 3.5 million deaths in 2021, according to the World Health Organization. It’s a common ...
“This new COPD diagnostic schema, which includes chest imaging, respiratory symptoms and spirometry, identified additional individuals at risk of poor respiratory outcomes,” said Bhatt, a professor in ...
The National Institute for Health and Care Excellence (NICE) is producing guidance on Algorithms applied to spirometry to support the diagnosis of lung conditions in primary care and community ...
Mepolizumab is a humanized monoclonal antibody that targets interleukin-5, a cytokine that plays a central role in eosinophilic inflammation, which is present in 20 to 40% of patients with chronic ...
We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Patients with preserved ratio impaired spirometry (PRISm ...
Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: ...
Visualization of attention maps from the residual attention networks for the inspiratory convolutional neural network (I-CNN) and expiratory convolutional neural network (E-CNN) models. Attention maps ...
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