Hybrid CNN-GRU Model for Real-Time Blood Glucose Forecasting: Enhancing IoT-Based Diabetes Management with AI.

For people with diabetes, controlling blood glucose level (BGL) is a significant issue since the disease affects how the body metabolizes food, which makes careful insulin regulation necessary. Patients have to manually check their blood sugar levels, which can be laborious and inaccurate. Many variables affect BGL changes, making accurate prediction challenging.

Intersections between climate change and antimicrobial resistance: a systematic scoping review.

Climate change and antimicrobial resistance (AMR) present crucial challenges for the health and wellbeing of people, animals, plants, and ecosystems worldwide, yet the two are largely treated as separate and unrelated challenges. The aim of this systematic scoping Review is to understand the nature of the growing evidence base linking AMR and climate change and to identify knowledge gaps and areas for further research. We conducted a systematic search of the peer-reviewed literature in Scopus, Web of Science, and PubMed on 27 June, 2022.

An Evaluation of the Effect of App-Based Exercise Prescription Using Reinforcement Learning on Satisfaction and Exercise Intensity: Randomized Crossover Trial.

Background: The increasing prevalence of sedentary lifestyles has prompted the development of innovative public health interventions, such as smartphone apps that deliver personalized exercise programs. The widespread availability of mobile technologies (eg, smartphone apps and wearable activity trackers) provides a cost-effective, scalable way to remotely deliver personalized exercise programs to users. Using machine learning (ML), specifically reinforcement learning (RL), may enhance user engagement and effectiveness of these programs by tailoring them to individual preferences and needs.

Exploring athlete pain assessment experiences and priorities; a two-part qualitative series of athlete and physiotherapist interactions. Part One. "Gauging and discerning" - Athlete & physiotherapist pain assessment experiences and interactions.

Objectives: To explore the content (subjective questions, objective tools and outcome measures) and discuss the nature (qualitative elements and wider considerations) of the athlete pain assessment by facilitating shared understandings of athletes and sports physiotherapists.

Design: Qualitative research using a hermeneutic phenomenological approach.

Methods: We carried out focus groups comprising a deliberate criterion sample using a constructivist perspective.

Exploring athlete pain assessment experiences and priorities; a two-part qualitative series of athlete and physiotherapist interactions. Part Two. "Forging our future" - Athlete and physiotherapists' priorities for pain assessment and beyond.

Objectives: To explore the priorities and directions of athlete upper and lower limb pain assessment by facilitating shared understandings of athletes and sport physiotherapists.

Design: Qualitative research using a hermeneutic phenomenological approach.

Methods: We carried out focus groups comprising a deliberate criterion sample using a constructivist perspective.

Measurement Equivalence of Standard and Zoom-Enabled Electronic Clinical Outcome Assessments: Implications for Patient Accessibility in Clinical Trials.

Objectives: Diversity and inclusion in clinical trials remains an important topic, particularly for participants with disabilities such as vision impairment. With advances in smartphone and tablet technologies and their increasing use in clinical trials, accessibility features, such as pinch to zoom, are now at our fingertips. However, implementing such accessibility features when collecting electronic clinical outcomes assessments (eCOA) does not come without risks and must be designed with careful consideration and scientifically tested to ensure no impact to data integrity.

Developing Independent Living Support for Older Adults Using Internet of Things and AI-Based Systems: Co-Design Study.

Background: The number of older people with unmet health care and support needs is increasing substantially due to the challenges facing health care systems worldwide. There are potentially great benefits to using the Internet of Things coupled with artificial intelligence to support independent living and the measurement of health risks, thus improving quality of life for the older adult population. Taking a co-design approach has the potential to ensure that these technological solutions are developed to address specific user needs and requirements.

The Validity of Apple Watch Series 9 and Ultra 2 for Serial Measurements of Heart Rate Variability and Resting Heart Rate.

The widespread use of wearable devices has enabled continuous monitoring of biometric data, including heart rate variability (HRV) and resting heart rate (RHR). However, the validity of these measurements, particularly from consumer devices like Apple Watch, remains underexplored. This study aimed to validate HRV measurements obtained from Apple Watch Series 9 and Ultra 2 against the Polar H10 chest strap paired with the Kubios HRV software, which together served as the reference standard.

'Another world of pain'-athlete and sport physiotherapist perspectives on the unique experience of pain in sport.

Our objective to explore athlete's and sports physiotherapists' experiences of sports-related pain in the upper and lower limb. Using a constructivist and pragmatic perspective, we carried out focus groups comprising a deliberate criterion sample of athletes and sports physiotherapists. We used a topic guide that moved from open exploratory questions to questions focusing on the phenomena of sports-related pain in athletes.

How large language models can reshape collective intelligence.

Collective intelligence underpins the success of groups, organizations, markets and societies. Through distributed cognition and coordination, collectives can achieve outcomes that exceed the capabilities of individuals-even experts-resulting in improved accuracy and novel capabilities. Often, collective intelligence is supported by information technology, such as online prediction markets that elicit the 'wisdom of crowds', online forums that structure collective deliberation or digital platforms that crowdsource knowledge from the public.

A Review of the Design of Multimedia Patient Educational Materials in Low Back Pain Research.

Low back pain guidelines recommend patient education as a component of management. Multimedia education materials to provide patient education are increasingly being used not only due to the convenience of digital services but also because this is an efficient way to deliver educational information to under-resourced or rural/remote regions without optimal healthcare services. To maximize the knowledge transfer of research findings and low back pain guidelines, scientifically backed information must evolve beyond journal prints, bland government websites, and the basic web design of budget-constrained advocacy groups.

An Evaluation of the Design of Multimedia Patient Education Materials in Musculoskeletal Health Care: Systematic Review.

Background: Educational multimedia is a cost-effective and straightforward way to administer large-scale information interventions to patient populations in musculoskeletal health care. While an abundance of health research informs the content of these interventions, less guidance exists about optimizing their design.

Objective: This study aims to identify randomized controlled trials of patient populations with musculoskeletal conditions that used multimedia-based patient educational materials (PEMs) and examine how design was reported and impacted patients' knowledge and rehabilitation outcomes.

Corrigendum: Motor learning in developmental coordination disorder: behavioral and neuroimaging study.

[This corrects the article DOI: 10.3389/fnins.2023.

Keeping Pace with Wearables: A Living Umbrella Review of Systematic Reviews Evaluating the Accuracy of Consumer Wearable Technologies in Health Measurement.

Background: Consumer wearable technologies have become ubiquitous, with clinical and non-clinical populations leveraging a variety of devices to quantify various aspects of health and wellness. However, the accuracy with which these devices measure biometric outcomes such as heart rate, sleep and physical activity remains unclear.

Objective: To conduct a 'living' (i.

Bridging Gaps in Wearable Technology for Exercise and Health Professionals: A Brief Review.

The proliferation of wearable devices, especially over the past decade, has been remarkable. Wearable technology is used not only by competitive and recreational athletes but is also becoming an integral part of healthcare and public health settings. However, despite the technological advancements and improved algorithms offering rich opportunities, wearables also face several obstacles.

ViT-PSO-SVM: Cervical Cancer Predication Based on Integrating Vision Transformer with Particle Swarm Optimization and Support Vector Machine.

Cervical cancer (CCa) is the fourth most prevalent and common cancer affecting women worldwide, with increasing incidence and mortality rates. Hence, early detection of CCa plays a crucial role in improving outcomes. Non-invasive imaging procedures with good diagnostic performance are desirable and have the potential to lessen the degree of intervention associated with the gold standard, biopsy.

An Investigation Into the Measurement of Injury Severity in Running-Related Injury Research: A Scoping Review.

Understanding injury severity is essential to inform injury prevention practice. The aims of this scoping review were to investigate how running-related injury (RRI) severity is measured, compare how it differs across studies, and examine whether it influences study outcomes (i.e.

Modelling future bone mineral density: Simplicity or complexity?

Background: Osteoporotic fractures are a major global public health issue, leading to patient suffering and death, and considerable healthcare costs. Bone mineral density (BMD) measurement is important to identify those with osteoporosis and assess their risk of fracture. Both the absolute BMD and the change in BMD over time contribute to fracture risk.

Dataset on comprehensive assessment & classification of upper & lower limb pain in athletes.

Data were charted as part of a scoping review which followed the Joanna Briggs Institute (JBI) evidence synthesis guidelines and the Preferred Reporting Items for Systematic Reviews and Meta Analysis Scoping Review extension (PRISMA-SCr) guidelines. Data was extracted from 470 articles that met the inclusion criteria for the scoping review; primary research articles of athletes where upper and/or lower limb pain since database inception. A draft data charting tool was developed by the research team and piloted for feasibility, accuracy and agreement.

Definitions and surveillance methods of running-related injuries: A scoping review.

Inconsistent and restricted definitions of injury have contributed to limitations in determining injury rates and identifying risk factors for running-related injuries (RRIs). The aim of this scoping review was to investigate the definitions and surveillance methods of RRIs. A systematic electronic search was performed using PubMed, Scopus, SPORTDiscuss, MEDLINE, and Web of Science databases.

From lab to life: assessing the impact of real-world interactions on the operation of rapid serial visual presentation-based brain-computer interfaces.

Brain-computer interfaces (BCI) have been extensively researched in controlled lab settings where the P300 event-related potential (ERP), elicited in the rapid serial visual presentation (RSVP) paradigm, has shown promising potential. However, deploying BCIs outside of laboratory settings is challenging due to the presence of contaminating artifacts that often occur as a result of activities such as talking, head movements, and body movements. These artifacts can severely contaminate the measured EEG signals and consequently impede detection of the P300 ERP.

Exploring our relationship with nature: A modified-Delphi study protocol.

Background: A vital element to understanding the the health and wellbeing of both humans and the environment is human-nature interactions. The biophilia hypothesis is referred to when discussing these interactions. This hypothesis suggests that due to evolution, humans have an innate urge to seek out nature.

A dataset of text prompts, videos and video quality metrics from generative text-to-video AI models.

Evaluating the quality of videos which have been automatically generated from text-to-video (T2V) models is important if the models are to produce plausible outputs that convince a viewer of their authenticity. This paper presents a dataset of 201 text prompts used to automatically generate 1,005 videos using 5 very recent T2V models namely Tune-a-Video, VideoFusion, Text-To-Video Synthesis, Text2Video-Zero and Aphantasia. The prompts are divided into short, medium and longer lengths.