Mental health is vital to human well-being, and prevention strategies to address mental illness have a significant impact on the burden of disease and quality of life. With the recent developments in body-worn sensors, it is now possible to continuously collect data that can be used to gain insights into mental health states. This has the potential to optimize psychiatric assessment, thereby improving patient experiences and quality of life.
View Article and Find Full Text PDFParticipatory design (PD) is a methodology that emphasizes user participation in the design of new technologies to leverage change within organizations and services. PD originated in the computer science field in the 1970s and 1980s when new programs and technologies were developed to empower workers, by involving them in decisions that affected them. PD in health research has been proven to change clinical practice.
View Article and Find Full Text PDFBackground: Preventing lower-extremity amputations (LEAs) is pivotal. In the present study, we aimed to examine the recent trends in nontraumatic LEAs seen in the Northern Danish Region.
Methods: Using data from the regional Business Intelligence unit, we identified all nontraumatic LEAs (n = 689) performed in people above 50 years of age in the Northern Danish Region between January 2016 and December 2021 (approximately 600,000 inhabitants).
The first observations of the James Webb Space Telescope (JWST) have revolutionized our understanding of the Universe by identifying galaxies at redshift z ≈ 13 (refs. ). In addition, the discovery of many luminous galaxies at Cosmic Dawn (z > 10) has suggested that galaxies developed rapidly, in apparent tension with many standard models.
View Article and Find Full Text PDFIntroduction: Alterations in motor activity are well-established symptoms of bipolar disorder, and time series of motor activity can be considered complex dynamical systems. In such systems, early warning signals (EWS) occur in a critical transition period preceding a sudden shift (tipping point) in the system. EWS are statistical observations occurring due to a system's declining ability to maintain homeostasis when approaching a tipping point.
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