July 5, 2022
Image credit: PLOS
09/01/2022
Research Article
Simon Savai and colleagues reliably demonstrate that the log data can provide detailed information of the days and hours worked, number of patients seen per day, and how the application was being used to inform many areas of improvement related to health worker performance.
Image credit: Savai et al.
Current Issue July 2022
10/27/2022
Research Article
Troels Wesenberg Kjaer and colleagues find that while the single-night sleep information is slightly less reliable for the ear-EEG than for the polysomnogram, this can be counter acted by simply recording multiple nights; and ear-EEG used for two nights is generally more reliable than PSG used for 1 night.
Image credit: Kjaer et al.
09/06/2022
Research Article
Nathan Duarte and colleagues use a mathematical model to study the counterfactual impact of deploying wearable sensors to detect SARS-CoV-2 infections during Canada’s second COVID-19 wave and observe a meaningful reduction in the burden of infection but also found that false positive alerts resulting from imperfect detection specificity resulted in high social and resource costs.
Image credit: Duarte et al.
10/05/2022
Research Article
Paul Paquin and colleagues achieve high quality detection and identification from 8 hours onwards on a dataset composed of 7 different pathogenic strains using lens-free microscopy imaging and deep learning to train neural networks.
Image credit: Paquin et al.
10/25/2022
Research Article
By Muhammed Y. Idris and colleagues explore the effects of having an adjunct health coach with a behavior-modification mHealth app, Health360x in promoting user-interface interaction in a population of African American patients with significant cardiovascular risk factors.
Image credit: Idris et al.
10/13/2022
Research Article
Yuanfang Ren and colleagues present a machine learning approach to group hospitalized patients based on six routinely collected vital signs measured within six hours of hospital admission into previously undescribed subsets or acute illness phenotypes that may have different risks for a poor outcome or different treatment responses.
Image credit: Ren et al.
10/11/2022
Research Article
By Jennifer Ziegler and colleagues
Image credit: Ziegler et al.
10/17/2022
Research Article
By Sean Mann and colleagues
Image credit: Mann et al.
10/20/2022
Research Article
By Asoke Talukder and colleagues
Image credit: Talukder et al.
10/06/2022
Review
By Kenneth Seastedt and colleagues
Image credit: Wikimedia Commons
By Rayane Elimam and colleagues
By Thirimon Moe-Byrne and colleagues
By Haowen Zhou and colleagues
By Guy Fagherazzi and colleagues
By Brett M. Meyer and colleagues
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