Explore >> Select a destination
|
You are here 
|
www.nature.com | ||
| | | | |
www.brianckeegan.com
|
|
| | | | | Personal website for Brian C. Keegan, Ph.D. | |
| | | | |
preprints.jmir.org
|
|
| | | | | Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet | |
| | | | |
educationaltechnologyjournal.springeropen.com
|
|
| | | | | While the discussion on generative artificial intelligence, such as ChatGPT, is making waves in academia and the popular press, there is a need for more insight into the use of ChatGPT among students and the potential harmful or beneficial consequences associated with its usage. Using samples from two studies, the current research examined the causes and consequences of ChatGPT usage among university students. Study 1 developed and validated an eight-item scale to measure ChatGPT usage by conducting a su... | |
| | | | |
digitalcommons.wustl.edu
|
|
| | | BACKGROUNDS: While many studies agree that consanguinity increases the rate of congenital heart disease (CHD), few genome analyses have been conducted with consanguineous CHD cohorts. METHODS: We recruited 73 CHD probands from consanguineous families in Turkey and used whole-exome sequencing (WES) to identify genetic lesions in these patients. RESULTS: On average, each patient had 6.95 rare damaging homozygous variants, 0.68 of which are loss-of-function (LoF) variants. Seven patients (9.6%) carried damaging homozygous variants in five causal CHD genes. Six of those patients exhibited laterality defects (six HTX and one D-TGA). Three additional patients (4.1%) harbored other types of CHD-associated genomic alterations, which overall explained 13.7% (10/73) o... | ||
