Results 211 to 220 of about 1,126,468 (330)
Screening for lung cancer: A systematic review of overdiagnosis and its implications
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz +12 more
wiley +1 more source
Correction to: 'Everyone's a bit buzzed, why not share that': exploring alcohol-related user-generated content among young people in Victoria, Australia. [PDF]
europepmc +1 more source
Inferring Smoking Status from User Generated Content in an Online Cessation Community. [PDF]
Amato MS +7 more
europepmc +1 more source
User-generated content and journalism
The article is focused on one approach to the role of the user-generated content in journalism, starting from one vision of the communication in the age of Internet and social media. Relevant scientific evidence is provided.
openaire +1 more source
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece +18 more
wiley +1 more source
The added value of online user-generated content in traditional methods for influenza surveillance. [PDF]
Wagner M, Lampos V, Cox IJ, Pebody R.
europepmc +1 more source
Survivin and Aurora Kinase A control cell fate decisions during mitosis
Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir +2 more
wiley +1 more source
Mining User-Generated Content in an Online Smoking Cessation Community to Identify Smoking Status: A Machine Learning Approach. [PDF]
Wang X +7 more
europepmc +1 more source

