Skull Impact on Photoacoustic Imaging of Multi-Layered Brain Tissues with Embedded Blood Vessel Under Different Optical Source Types: Modeling and Simulation.

Skulls with high optical scattering and acoustic attenuation are a great challenge for photoacoustic imaging for human beings. To explore and improve photoacoustic generation and propagation, we conducted the photoacoustic simulation and image reconstruction of the multi-layer brain model with an embedded blood vessel under different optical source types. Based on the optical simulation results under different types of optical sources, we explored the characteristics of reconstructed images obtained from acoustic simulations with and without skull conditions.

Optical biosensing of monkeypox virus using novel recombinant silica-binding proteins for site-directed antibody immobilization.

The efficient immobilization of capture antibodies is crucial for timely pathogen detection during global pandemic outbreaks. Therefore, we proposed a silica-binding protein featuring core functional domains (cSP). It comprises a peptide with a silica-binding tag designed to adhere to silica surfaces and tandem protein G fragments (2C2) for effective antibody capture.

A novel lightweight deep learning based approaches for the automatic diagnosis of gastrointestinal disease using image processing and knowledge distillation techniques.

Background: Gastrointestinal (GI) diseases pose significant challenges for healthcare systems, largely due to the complexities involved in their detection and treatment. Despite the advancements in deep neural networks, their high computational demands hinder their practical use in clinical environments.

Objective: This study aims to address the computational inefficiencies of deep neural networks by proposing a lightweight model that integrates model compression techniques, ConvLSTM layers, and ConvNext Blocks, all optimized through Knowledge Distillation (KD).

Implementability of opioid deprescribing interventions at transitions of care: A scoping review.

Continuation of opioids at transitions of care increases the risk of long-term opioid use and related harm. To our knowledge, no study has examined the implementability of opioid deprescribing interventions at transitions of care. Our scoping review aimed to identify the type of opioid deprescribing interventions employed at transitions of care and assess the implementability of tested interventions.

Perspectives of aged care home staff and health care professionals on the Psychotropic medicines use in Residents And Culture: Influencing clinical Excellence (PRACTICE) tool ©.

Introduction: High use of psychotropic medications continues to be common in residential aged care homes despite the risk of harm and limited efficacy in people living with dementia. Research has shown that the organizational culture of aged care homes influences psychotropic medication use in residents with dementia. The Psychotropic medicines use in Residents And Culture: Influencing Clinical Excellence (PRACTICE) tool was developed to evaluate the organizational culture of aged care homes specific to the use of psychotropic medications.

Evaluation of real-world evidence to assess health outcomes related to deprescribing medications in older adults: an International Society for Pharmacoepidemiology-endorsed systematic review of methodology.

Background: Observational studies using real-world data (RWD) can address gaps in knowledge on deprescribing medications but are subject to methodological issues. Limited data exist on the methods employed to use RWD to measure the effects of deprescribing.

Objective: To describe methodological approaches used in observational studies of deprescribing medications in older adults.

Chest Pain in Women: Gender- and Sex-based Differences in the Presentation and Diagnosis of Heart Disease.

Ischemic heart disease is a major cause of morbidity and mortality in the US, affecting both men and women significantly. The presentation of chest pain is largely similar in female and male patients, but additional non-chest pain symptoms can confound timely diagnosis in women. Management, diagnostic evaluation, and clinical outcomes for patients admitted with chest pain differ significantly between men and women, and understanding of these discrepancies is limited.

Optimizing the Approach and Clinical Outcomes of Women Undergoing Chronic Total Occlusion-Percutaneous Coronary Intervention.

Coronary artery disease remains a leading cause of morbidity and mortality globally, with chronic total occlusions (CTOs) representing a particularly challenging subset. Percutaneous coronary intervention (PCI) for CTOs has evolved significantly over the years, driven by advancements in equipment, techniques, and operator expertise. However, women have historically been underrepresented in clinical trials and guidelines, leading to a gap in an evidence-based management tailored to their specific needs, including in CTO-PCI.

Percutaneous Coronary Intervention Versus Robotic Coronary Bypass for Left Anterior Descending Artery Chronic Total Occlusion.

Background: Both percutaneous coronary interventions (PCIs) and robotic-assisted coronary artery bypass (CAB) offer viable options for left anterior descending (LAD) chronic total occlusion (CTO) revascularization. Our study aims to compare long-term clinical outcomes associated with these 2 strategies.

Methods: In this retrospective study, we analyzed data from 273 patients diagnosed with LAD CTO who underwent either PCI (n = 129) or CAB (n = 144) at a single institution.

Improving Pelvic Floor Muscle Training with AI: A Novel Quality Assessment System for Pelvic Floor Dysfunction.

The first line of treatment for urinary incontinence is pelvic floor muscle (PFM) training, aimed at reducing leakage episodes by strengthening these muscles. However, many women struggle with performing correct PFM contractions or have misconceptions about their contractions. To address this issue, we present a novel PFM contraction quality assessment system.

MEMS Micromirror Actuation Techniques: A Comprehensive Review of Trends, Innovations, and Future Prospects.

Micromirrors have recently emerged as an essential component in optical scanning technology, attracting considerable attention from researchers. Their compact size and versatile capabilities, such as light steering, modulation, and switching, are leading them as potential alternatives to traditional bulky galvanometer scanners. The actuation of these mirrors is critical in determining their performance, as it contributes to factors such as response time, scanning angle, and power consumption.

78.8 pJ/b, 100 Mb/s Noncoherent IR-UWB Receiver for Multichannel Neurorecording Implants.

In this article, we present a novel approach for designing a low-power, low-area impulse radio ultra-wideband (IR-UWB) noncoherent receiver capable of achieving a data rate of 100 Mbps. Our proposed receiver demonstrates the ability to demodulate ON-OFF keying pulse streams across the entire lower frequency band defined by the Federal Communication Commission for UWB applications. The key components of the proposed receiver include a reconfigurable differential two-stage low-noise amplifier, a fully differential squarer, narrow-band interface rejection filters, and variable gain baseband amplifiers.

Prevalence of Adverse Drug Reactions in Hospital Among Older Patients with and Without Dementia.

Background: Older inpatients with dementia are at an increased risk of an adverse drug reaction (ADR) during hospitalization.

Objective: To quantify the prevalence of ADRs in older inpatients according to dementia status and ADR definition approach and to identify risk factors of ADRs during hospitalization.

Methods: This was a retrospective cohort study of 2000 inpatients aged ≥ 75 years admitted consecutively to six Sydney hospitals (1 July 2016 to 31 May 2017).

Optical Transmission in Single-Layer Brain Tissues under Different Optical Source Types: Modelling and Simulation.

The human brain is a complex organ controlling daily activity. Present technique models have mostly focused on multi-layer brain tissues, which lack understanding of the propagation characteristics of various single brain tissues. To better understand the influence of different optical source types on individual brain tissues, we constructed single-layer brain models and simulated optical propagation using the Monte Carlo method.

Enhancing photoacoustic imaging for lung diagnostics and BCI communication: simulation of cavity structures artifact generation and evaluation of noise reduction techniques.

Pandemics like COVID-19 have highlighted the potential of Photoacoustic imaging (PAI) for Brain-Computer Interface (BCI) communication and lung diagnostics. However, PAI struggles with the clear imaging of blood vessels in areas like the lungs and brain due to their cavity structures. This paper presents a simulation model to analyze the generation and propagation mechanism within phantom tissues of PAI artifacts, focusing on the evaluation of both Anisotropic diffusion filtering (ADF) and Non-local mean (NLM) filtering, which significantly reduce noise and eliminate artifacts and signify a pivotal point for selecting artifact-removal algorithms under varying conditions of light distribution.

Medication management information priorities of people living with dementia and their carers: a scoping review.

Background: People living with dementia and their carers often experience difficulties in effectively managing medications and have indicated they lack necessary support, information and guidance. Recognising the medication management information needs of this population is an important first step in addressing these issues.

Objectives: To identify the priorities for information on medication management expressed by people living with dementia and their carers.

Pulmonary infection by : first case report in United Arab Emirates.

is an emerging slowly growing species that belongs to the group of nontuberculous mycobacteria (NTM) with approximately 20 cases reported worldwide. We highlight the first case of pulmonary infection by in United Arab Emirates (UAE). A 44-year-old female presented with chronic productive cough; a bronchial breathing pattern was appreciated on auscultation of her right upper lung.

Optical Biosensor Based on Porous Silicon and Tamm Plasmon Polariton for Detection of CagA Antigen of .

() is a common pathogen with a high prevalence of infection in human populations. The diagnosis of infection is critical for its treatment, eradication, and prognosis. Biosensors have been demonstrated to be powerful for the rapid onsite detection of pathogens, particularly for point-of-care test (POCT) scenarios.

Grating Bio-Microelectromechanical Platform Architecture for Multiple Biomarker Detection.

A label-free biosensor based on a tunable MEMS metamaterial structure is proposed in this paper. The adopted structure is a one-dimensional array of metamaterial gratings with movable and fixed fingers. The moving unit of the optical detection system is a component of the MEMS structure, driven by the surface stress effect.

Neuro-BERT: Rethinking Masked Autoencoding for Self-Supervised Neurological Pretraining.

Deep learning associated with neurological signals is poised to drive major advancements in diverse fields such as medical diagnostics, neurorehabilitation, and brain-computer interfaces. The challenge in harnessing the full potential of these signals lies in the dependency on extensive, high-quality annotated data, which is often scarce and expensive to acquire, requiring specialized infrastructure and domain expertise. To address the appetite for data in deep learning, we present Neuro-BERT, a self-supervised pre-training framework of neurological signals based on masked autoencoding in the Fourier domain.

How are early-career dementia researchers considered and supported on a national level by dementia plans and organizations? An overview of global policy approaches.

Introduction: Despite representing an essential workforce, it is unclear how global policy efforts target early-career dementia researchers (ECDRs). Thus, this study aimed to provide an overview of policies through which ECDRs are considered and supported by dementia plans and organizations.

Methods: G20 member states were evaluated for their national dementia plan alongside policies of leading dementia organizations.

Progress and trends in neurological disorders research based on deep learning.

In recent years, deep learning (DL) has emerged as a powerful tool in clinical imaging, offering unprecedented opportunities for the diagnosis and treatment of neurological disorders (NDs). This comprehensive review explores the multifaceted role of DL techniques in leveraging vast datasets to advance our understanding of NDs and improve clinical outcomes. Beginning with a systematic literature review, we delve into the utilization of DL, particularly focusing on multimodal neuroimaging data analysis-a domain that has witnessed rapid progress and garnered significant scientific interest.