Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
Lupus Science & Medicine

Qualitative interview study in patients with SLE to assess patient perception of fatigue and skin-related symptoms

Objective SLE is a chronic autoimmune disorder with a range of symptoms. While these are broadly reported in the literature, ...
BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
The BMJ

Designation of small for gestational age according to seven fetal growth charts in England’s National Health Service: population based cohort study of 3.2 million births

Objective To investigate the screen positive rates of standards for fetal weight assessment in current use in England. Design ...
SciELO

Prevalence of excessive screen time and TV viewing among Brazilian adolescents: a systematic review and meta-analysis ☆, ☆☆

Purpose: To evaluate the prevalence of excessive screen-based behaviors among Brazilian adolescents through a systematic review with meta-analysis. Data source: Systematic review and meta-analysis ...
Journal of Medical Internet Research

Technology-Delivered Adaptations of Motivational Interviewing for the Prevention and Management of Chronic Diseases: Scoping Review

We charted results using Excel (Microsoft Corp). Results: Thirty-four studies reported the use of TAMIs. Sample sizes ranged from 10 to 2069 participants aged 13 to 70 years. Most studies (n=27) ...