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Dementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center at San Antonio, San Antonio, TX, USA.
Background: In recent years, brain banks have become a valuable resource for examining the molecular underpinnings of various neurological and psychological disorders such as Alzheimer's disease and Parkinson's disease; however, the availability of brain tissue has significantly declined. Proper collection, preparation, and preservation of post-mortem autopsy tissue are essential for optimal downstream brain tissue distribution and experimentation. Collaborations between brain banks through larger networks such as NeuroBioBank with centralized sample request mechanisms promote tissue distribution where brain donations are disproportionately lower.
View Article and Find Full Text PDFDoes music counteract mental fatigue? A systematic review.
PLoS One
January 2025
Department of Sport Studies, Faculty of Education Studies, Universiti Putra Malaysia, Selangor, Malaysia.
Article Synopsis
- Mental fatigue is a state caused by prolonged cognitive tasks that negatively affects both mental and physical performance, leading to the need for effective countermeasures.
- Music, being noninvasive and portable, is proposed as a potential solution to combat mental fatigue, although effectiveness can vary by music style.
- A systematic review of nine studies found that relaxing, exciting, and personally preferred music can reduce feelings of mental fatigue and enhance cognitive performance, particularly in tasks involving inhibition and working memory.
Digital Health Technology Research Funded by the National Institutes of Health.
JAMA Netw Open
January 2025
National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Importance: Digital health in biomedical research and its expanding list of potential clinical applications are rapidly evolving. A combination of new digital health technologies (DHTs), novel uses of existing DHTs through artificial intelligence- and machine learning-based algorithms, and improved integration and analysis of data from multiple sources has enabled broader use and delivery of these tools for research and health care purposes. The aim of this study was to assess the growth and overall trajectory of DHT funding through a National Institutes of Health (NIH)-wide grant portfolio analysis.
View Article and Find Full Text PDFA secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN.
Sci Rep
January 2025
Department of Electronics and Communication Engineering, Nagarjuna College of Engineering and Technology, Bengaluru, 562164, Karnataka, India.
Wireless sensor networks (WSNs) are imperative to a huge range of packages, along with environmental monitoring, healthcare structures, army surveillance, and smart infrastructure, however they're faced with numerous demanding situations that impede their functionality, including confined strength sources, routing inefficiencies, security vulnerabilities, excessive latency, and the important requirement to keep Quality of Service (QoS). Conventional strategies generally goal particular troubles, like strength optimization or improving QoS, frequently failing to provide a holistic answer that effectively balances more than one crucial elements concurrently. To deal with those challenges, we advocate a novel routing framework that is both steady and power-efficient, leveraging an Improved Type-2 Fuzzy Logic System (IT2FLS) optimized by means of the Reptile Search Algorithm (RSA).
View Article and Find Full Text PDFAlgorithmic individual fairness and healthcare: a scoping review.
JAMIA Open
February 2025
Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA 15213, United States.
Objectives: Statistical and artificial intelligence algorithms are increasingly being developed for use in healthcare. These algorithms may reflect biases that magnify disparities in clinical care, and there is a growing need for understanding how algorithmic biases can be mitigated in pursuit of algorithmic fairness. We conducted a scoping review on algorithmic individual fairness (IF) to understand the current state of research in the metrics and methods developed to achieve IF and their applications in healthcare.
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