Background: Technology has multiple potential applications to dementia from diagnosis and assessment to care delivery and supporting ageing in place.
Objectives: To summarise key areas of technology development in dementia and identify future directions and implications.
Method: Members of the US Alzheimer's Association Technology Professional Interest Area involved in delivering the annual pre-conference summarised existing knowledge on current and future technology developments in dementia.
Results: The main domains of technology development are as follows: (i) diagnosis, assessment and monitoring, (ii) maintenance of functioning, (iii) leisure and activity, (iv) caregiving and management.
Conclusions: The pace of technology development requires urgent policy, funding and practice change, away from a narrow medical approach, to a holistic model that facilitates future risk reduction and prevention strategies, enables earlier detection and supports implementation at scale for a meaningful and fulfilling life with dementia.
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http://dx.doi.org/10.1159/000497800 | DOI Listing |
Bioanalysis
January 2025
Eli Lilly and Company, Indianapolis, IN, USA.
The 18th Workshop on Recent Issues in Bioanalysis (18th WRIB) took place in San Antonio, TX, USA on May 6-10, 2024. Over 1100 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 18th WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.
View Article and Find Full Text PDFSyst Biol Reprod Med
December 2025
Department of Biosciences and Technology for Food, Agriculture and Environment, University of Teramo, Teramo, Italy.
MicroRNAs (miRNAs) have acquired an increased recognition to unravel the complex molecular mechanisms underlying Diminished Ovarian Reserve (DOR), one of the main responsible for infertility. To investigate the impact of miRNA profiles in granulosa cells and follicular fluid, crucial players in follicle development, this study employed a computational network theory approach to reconstruct potential pathways regulated by miRNAs in granulosa cells and follicular fluid of women suffering from DOR. Available data from published research were collected to create the FGC_MiRNome_MC, a representation of miRNA target genes and their interactions.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
January 2025
Department of Cardiovascular Medicine, Binzhou Medical University Hospital, 256603 Binzhou, Shandong, China.
Background: Cellular vacuolization is a commonly observed phenomenon under physiological and pathological conditions. However, the mechanisms underlying vacuole formation remain largely unresolved.
Methods: LysoTracker Deep Red probes and Enhanced Green Fluorescent Protein-tagged light chain 3B (LC3B) plasmids were employed to differentiate the types of massive vacuoles.
Nurs Leadersh (Tor Ont)
June 2025
Current nursing shortages, particularly in complex practice or specialty areas, coupled with high attrition rates of both seasoned and new graduate nurses, have required nursing leaders to consider creative approaches to recruit, prepare and retain nurses in specialty areas. This article describes a collaborative partnership between post-secondary institutions and health authorities in one province to address the need to prepare and retain nurses in high-priority specialized areas, such as the intensive care unit or the emergency department. This partnership allows for a proactive connection that leverages the strengths and resources of both healthcare and educational institutions.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Speech and Language Rehabilitation Department, Beijing Rehabilitation Hospital Affiliated with Capital Medical University, Beijing, China.
The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients.
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