Recent advances in point-of-care testing of COVID-19

S Lee, L Bi, H Chen, D Lin, R Mei, Y Wu… - Chemical Society …, 2023 - pubs.rsc.org
Advances in microfluidic device miniaturization and system integration contribute to the
development of portable, handheld, and smartphone-compatible devices. These …

The transition from genomics to phenomics in personalized population health

JT Yurkovich, SJ Evans, N Rappaport, JL Boore… - Nature Reviews …, 2024 - nature.com
Modern health care faces several serious challenges, including an ageing population and
its inherent burden of chronic diseases, rising costs and marginal quality metrics. By …

Machine learning with multimodal data for COVID-19

W Chen, RC Sá, Y Bai, S Napel, O Gevaert… - Heliyon, 2023 - cell.com
In response to the unprecedented global healthcare crisis of the COVID-19 pandemic, the
scientific community has joined forces to tackle the challenges and prepare for future …

A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19

MMH Shandhi, PJ Cho, AR Roghanizad, K Singh… - NPJ digital …, 2022 - nature.com
Mass surveillance testing can help control outbreaks of infectious diseases such as COVID-
19. However, diagnostic test shortages are prevalent globally and continue to occur in the …

Five million nights: temporal dynamics in human sleep phenotypes

VK Viswanath, W Hartogenesis, S Dilchert… - npj Digital …, 2024 - nature.com
Sleep monitoring has become widespread with the rise of affordable wearable devices.
However, converting sleep data into actionable change remains challenging as diverse …

Elevated body temperature is associated with depressive symptoms: results from the TemPredict Study

AE Mason, P Kasl, S Soltani, A Green… - Scientific Reports, 2024 - nature.com
Correlations between altered body temperature and depression have been reported in small
samples; greater confidence in these associations would provide a rationale for further …

Machine learning COVID-19 detection from wearables

B Nestor, J Hunter, R Kainkaryam… - The Lancet Digital …, 2023 - thelancet.com
The increasing accessibility of wearable activity-tracking and health-tracking devices has
prompted much research into passive diagnostics and screening that could contribute to …

Validation of Oura ring energy expenditure and steps in laboratory and free-living

E Kristiansson, J Fridolfsson, D Arvidsson… - BMC medical research …, 2023 - Springer
Background Commercial activity trackers are increasingly used in research and compared
with research-based accelerometers are often less intrusive, cheaper, with improved storage …

Association of demographic and socioeconomic indicators with the use of wearable devices among children

EH Kim, JL Jenness, AB Miller, R Halabi… - JAMA Network …, 2023 - jamanetwork.com
Importance The use of consumer-grade wearable devices for collecting data for biomedical
research may be associated with social determinants of health (SDoHs) linked to people's …

Use of artificial intelligence to develop predictive algorithms of cough and PCR-confirmed COVID-19 infections based on inputs from clinical-grade wearable sensors

JR Walter, JY Lee, L Yu, B Kim, K Martell, A Opdycke… - Scientific reports, 2024 - nature.com
There have been over 769 million cases of COVID-19, and up to 50% of infected individuals
are asymptomatic. The purpose of this study aimed to assess the use of a clinical-grade …