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The first generation who engaged with digital technologies has reached the age where risks of dementia emerge. Has technological exposure helped or harmed cognition in digital pioneers? The digital dementia hypothesis predicts that a lifetime of technology exposure worsens cognitive abilities. An alternative hypothesis is that such exposures lead to technological reserve, wherein digital technologies promote behaviours that preserve cognition. We tested these hypotheses in a meta-analysis and systematic review of studies published in Medline, PsycInfo, CINAHL, Science Direct, Scopus, Cochrane Library, ProQuest and Web of Science. Studies were included if they were observational or cohort studies focused on general digital technology use in older adults (over age 50) and included either a cognitive or dementia diagnosis outcome. We identified 136 papers that met inclusion criteria, of which 57 were compatible with odds ratio or hazard ratio meta-analysis. These studies included 411,430 adults (baseline age M = 68.7 years; 53.5% female) from cross-sectional and longitudinal observational studies (range: 1-18 years, M = 6.2 years). Use of digital technologies was associated with reduced risk of cognitive impairment (OR = 0.42, 95% CI 0.35-0.52) and reduced time-dependent rates of cognitive decline (HR = 0.74, 95% CI 0.66-0.84). Effects remained significant when accounting for demographic, socioeconomic, health and cognitive reserve proxies. All studies were evaluated for quality on the basis of a standardized checklist; the primary outcomes replicated when limiting analyses to the highest-quality studies. Additional work is needed to test bidirectional causal interpretations, understand mechanisms that underpin technological reserve, and identify how types and timings of technology exposures influence cognitive health.
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http://dx.doi.org/10.1038/s41562-025-02159-9 | DOI Listing |
Neural Netw
September 2025
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China. Electronic address:
Automatic segmentation of retinal vessels from retinography images is crucial for timely clinical diagnosis. However, the high cost and specialized expertise required for annotating medical images often result in limited labeled datasets, which constrains the full potential of deep learning methods. Recent advances in self-supervised pretraining using unlabeled data have shown significant benefits for downstream tasks.
View Article and Find Full Text PDFACS Appl Mater Interfaces
September 2025
Department of Materials Science and Engineering, College of Engineering, Texas A&M University, College Station, Texas 77843, United States.
Hydrogel-based bioinks are widely adopted in digital light processing (DLP) 3D printing. Modulating their mechanical properties is especially beneficial in biomedical applications, such as directing cell activity toward tissue regeneration and healing. However, in both monolithic and granular hydrogels, the tunability of mechanical properties is limited to parameters such as cross-linking or packing density.
View Article and Find Full Text PDFPLoS One
September 2025
College of Information Engineering, Sichuan Agricultural University, Ya'an, Sichuan Province, China.
Animals communicate information primarily via their calls, and directly using their vocalizations proves essential for executing species conservation and tracking biodiversity. Conventional visual approaches are frequently limited by distance and surroundings, while call-based monitoring concentrates solely on the animals themselves, proving more effective and straightforward than visual techniques. This paper introduces an animal sound classification model named SeqFusionNet, integrating the sequential encoding of Transformer with the global perception of MLP to achieve robust global feature extraction.
View Article and Find Full Text PDFInt J Audiol
September 2025
Centre for Digital Telecommunication Technologies, St. Petersburg Electrotechnical University "LETI", St. Petersburg, Russia.
Objective: To evaluate speech perception deficit compensation and predict potential hearing aids (HA) effectiveness in patients with hearing loss (HL).
Design: The patients underwent pure-tone audiometry and various speech tests in quiet (evaluating the peripheral auditory system and cognitive compensation) and in noise (to quantify central compensation through auditory processing and cognitive abilities).
Study Sample: 513 HL patients aged 19-93 years, including 403 HA users.
PLoS One
September 2025
Department of Collective Health, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Aim: To describe the protocol for a scoping review on digital health technologies in Primary Health Care in rural territories, with a view to evaluating their impact on the attributes of Primary Health Care and identifying barriers and facilitators for its implementation.
Background: Rural populations face significant barriers in accessing health care, and digital health emerges as a promising strategy to overcome challenges. Nonetheless, there is a gap in the literature regarding the systematic evaluation of the impact of these technologies on rural Primary Health Care, which justifies this scoping review.