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Managing Upper and Lower Airway Diseases: The Role of Epithelial-Driven Inflammation This activity is supported by an independent educational grant from AstraZeneca Pharmaceuticals.
Your breathing pattern is unique like your fingerprint—and may help predict health issues In a new study, scientists identified people based only on their breathing pattern with almost 97 ...
Timing, duration, and variability of daytime napping are associated with an increased risk for mortality in middle- to older-aged adults, new research shows.
Reinstein and colleagues demonstrated that keratoconic eyes have an epithelial “doughnut” pattern, in which a ring of a thickened epithelium surrounds a zone of thinner epithelium.
Pan-European consumers organisation BEUC filed a complaint with the European Commission on Thursday against online fast-fashion retailer Shein over its use of "dark patterns", tactics designed to ...
AI is transforming every industry, from medicine to film to finance. So, why not use it to study one of the world's most revered ancient texts, the Bible?
First-in-human mRNA CAR therapy: Correlative biomarker analysis from the MT-302 phase 1 study targeting TROP2 in patients with advanced epithelial tumors.. If you have the appropriate software ...
A density gradient of basement membrane laminins modulates retinal pigment epithelium contractility levels by differential integrin β1/β4 engagement. These levels influence the ability of the ...
Limitation of soil microorganisms by key nutrients such as nitrogen (N) and phosphorus (P) controls ecosystem processes, including soil carbon cycling. Thus, it is fundamental to understand patterns ...
Latitudinal patterns of molecular rates were assessed at the assemblage level by mapping average molecular rates of vertebrates within 1° grid cells globally. Average values were calculated using the ...
A global study seeks insights into what helps people feel happy, healthy and satisfied – and what holds them back.
In recent years, deep learning methods have received more attention in epithelial-stroma (ES) classification tasks. Traditional deep learning methods assume that the training and test data have the ...