Radar-Based Detection of Obstructive Sleep Apnea: A Systematic Review and Network Meta-Analysis of Diagnostic Accuracy Across Frequency Bands.

: Obstructive sleep apnea (OSA) is one of the most prevalent yet underdiagnosed sleep disorders. We evaluated the diagnostic accuracy of radar-based systems and ranked frequency bands for the non-contact detection of OSA. : A systematic search of six databases was conducted from inception to May 23, 2025.

Evaluating Cardiac Impairment From Abnormal Respiratory Patterns: Insights From a Wireless Radar and Deep Learning Study.

Objectives: Assessing the bidirectional impacts of heart function impairment and sleep-disordered breathing remains underexplored. Thus, this study analyzed respiratory patterns from a wireless radar framework to explore their associations with echocardiographic (2D-echo) measurements.

Methods: Background details, 2D-echo parameters, and biochemical data were collected from patients in a cardiology ward in northern Taiwan.

Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability.

Objectives: Timely intervention in shock is vital, as delays over one hour greatly increase mortality. This study aims to develop an enhanced machine learning model that improves predictive performance by utilizing self-controlled data and applying feature engineering informed by medical knowledge to physiological waveforms, enabling the prediction of shock one hour in advance without relying on blood tests.

Methods: Patient data and physiological waveforms were obtained from the Medical Information Mart for Intensive Care III (MIMIC-3) database.

Waardenburg Syndrome Type 4 in Mongolian Children: Genetic and Clinical Characterization.

Waardenburg syndrome (WS) is a rare genetic disorder that affects both hearing and pigmentation. The wide divergence of WS poses significant diagnostic and management challenges. This study investigated type 4 WS within an underrepresented Mongolian population.

Comparative Evaluation of Redox and Non-Redox Epoxy-Clay Coatings for Corrosion Resistance in ACQ Saline Media.

This study prepared epoxy-clay nanocomposites (ECNs) by incorporating organophilic clays modified with either non-redox cetyltrimethylammonium bromide (CTAB) or redox-active aniline pentamer (AP), then compared their anticorrosion performance on metal substrates in saline environments. The test solution contained 2 wt% alkaline copper quaternary (ACQ) wood preservatives. Cold-rolled steel (CRS) panels coated with the ECNs were evaluated via electrochemical impedance spectroscopy (EIS) in saline media both with and without ACQ.

Projected spread models.

We present a disease transmission model that considers both explicit and non-explicit factors. This approach is crucial for accurate prediction and control of infectious disease spread. In this paper, we extend the spread model from our previous works (Ban et al.

Low Efficiency of Homology-Independent Targeted Integration for CRISPR/Cas9 Correction in the Vicinity of the c.919-2A>G Variant.

Recessive variants of are a common cause of hereditary hearing impairment and are responsible for non-syndromic enlarged vestibular aqueducts and Pendred syndrome. Patients with bi-allelic variants often suffer from fluctuating hearing loss and recurrent vertigo, ultimately leading to severe to profound hearing impairment. However, there are currently no satisfactory prevention or treatment options for this condition.

Slow-wave sleep, oxygen desaturation, and memory consolidation in sleep-disturbed individuals.

Slow-wave sleep (SWS) plays a crucial role in memory consolidation, yet its disruption in obstructive sleep apnea (OSA) remains poorly understood. This study investigates the relationship between SWS characteristics, nocturnal oxygen desaturation, and memory performance in individuals with sleep disturbances. This cross-sectional study included 49 participants with memory complaints and sleep disturbances who underwent overnight polysomnography (PSG) and cognitive assessments to determine the presence and severity of OSA.

6-Gingerol overcomes TMZ resistance in GBM by suppressing EMT and cell migration via the PI3K/Akt/β-catenin/c-Myc pathway.

Glioblastoma multiforme (GBM) is the most aggressive and treatment-resistant primary brain tumor with acquired resistance to temozolomide (TMZ) posing a major clinical challenge. This study investigates the therapeutic potential of 6-gingerol, a bioactive compound from ginger, in overcoming TMZ resistance in GBM and delineates its molecular mechanisms. TMZ-resistant GBM cell lines (U87-TR and A172-TR) were established which exhibited enhanced migratory capacity and pronounced epithelial-mesenchymal transition (EMT) features.

Leveraging Subjective Parameters and Biomarkers in Machine Learning Models: The Feasibility of for Managing Emphysema Progression.

Chronic obstructive pulmonary disease (COPD) remains a leading cause of death worldwide, with emphysema progression providing valuable insights into disease development. Clinical assessment approaches, including pulmonary function tests and high-resolution computed tomography, are limited by accessibility constraints and radiation exposure. This study, therefore, proposed an alternative approach by integrating the novel biomarker long non-coding interleukin-7 receptor α-subunit gene (), along with other easily accessible clinical and biochemical metrics, into machine learning (ML) models.

Unraveling the complex genetic landscape of OTOF-related hearing loss: a deep dive into cryptic variants and haplotype phasing.

Background: Pathogenic variants in OTOF are a major cause of auditory synaptopathy. However, challenges remain in interpreting OTOF variants, including difficulties in confirming haplotype phasing using traditional short-read sequencing (SRS) due to the large gene size, the potential incomplete penetrance of certain variants, and difficulties in assessing variants at non-canonical splice sites. This study aims to revisit the genetic landscape of OTOF variants in a Taiwanese non-syndromic auditory neuropathy spectrum disorder (ANSD) cohort using a combination of sequencing technologies, predictive tools, and experimental validations.

Mitochondrial dysfunction and cell death induced by Toona sinensis leaf extracts through MEK/ERK signaling in glioblastoma cells.

Toona sinensis, a kind of phytochemicals in traditional Chinese medicine widely used in South-East Asia, has been recognized for its anticancer properties, particularly against various types of cancer. We aimed to evaluate the effectiveness of T. sinensis leaf extracts (TSL) specifically for glioblastoma multiforme (GBM).

From reactive to proactive: Machine learning models for continuous positive airway pressure adjustments using heart rate variability and oximetry-related parameters.

Objective: Current adjustments of continuous positive airway pressure (CPAP) may expose patients to risks of respiratory episodes or oxygen desaturation. Therefore, this study developed machine learning models using leading indicators, such as heart rate variability (HRV) and oximetry-related metrics, to proactively predict optimal adjustment timings.

Methods: CPAP titration data were first collected from a sleep center in northern Taiwan.

Positioned spread models: A mathematical analysis of the topological and random population systems.

Considering limited environmental resources, this article develops topological and random population systems, as well as positioned spread models that emphasize spatial distribution and growth. It incorporates key factors such as the birth rate and migration rate to analyze the population's spatial dynamics using tools from dynamical systems and probability theory. In addition, numerical examples and simulation results are provided to validate the theory for both topological and random models.

Screening for Hearing Impairment in Newborns Using Targeted Genomic Sequencing: A Large Pilot Cohort Study.

Objectives: State-run newborn hearing screening (NBHS) programs have limitations in identifying children with mild or late-onset sensorineural hearing impairment (SNHI). Given that over 50% of pediatric SNHI cases are linked to genetic causes, the increasing accessibility of high-throughput, low-cost genomic sequencing may help address these shortcomings. This study investigates the feasibility of integrating a next-generation sequencing (NGS)-based genomic screening protocol into conventional NBHS and examines its potential benefits and challenges.

Effects of continuous positive airway pressure on renal function in adults with obstructive sleep apnea: a systematic review and meta-analysis.

Purpose: Obstructive sleep apnea (OSA) is associated with increased risk of chronic kidney disease (CKD). OSA is highly prevalent among patients with CKD, suggesting a bidirectional link between the two conditions. Recent studies reported that continuous positive airway pressure (CPAP) may benefit renal function in OSA patients; however, uncertainties regarding their effects persist.

Why is the rectal route for NSAIDS favorable for preventing post-ERCP pancreatitis?

Objective: Acute pancreatitis is a frequent, burdensome adverse event of endoscopic retrograde cholangiography (ERCP). Rectal nonsteroidal anti-inflammatory drugs (NSAIDs) have reduced post-ERCP pancreatitis (PEP) risk by about 50 % and show greater efficacy over parenteral or oral administration, although the mechanism for its superiority remains unclear. To probe this question, we investigated in a preclinical model, the pharmacokinetics in the blood, pancreas and other tissues of the NSAID diclofenac given via the rectal, intravenous, or intragastric routes.

Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments.

Objective: Common examinations for diagnosing obstructive sleep apnea (OSA) are polysomnography (PSG) and home sleep apnea testing (HSAT). However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. Hence, in this study, we aimed to verify a wireless radar framework combined with deep learning techniques to screen for the risk of OSA in home-based environments.

Circadian and autophagy markers correlate with poor prognosis in meningioma patients.

Purpose: Patients with meningiomas mostly present good outcomes and optimal prognosis, but different grades of tumors have very different symptoms and recurrence rates. Therefore, effective diagnosis is crucial for early intervention and controlling tumor development. Circadian cycle and autophagy have both been proven to be related to neoplasm formation and pathogenesis; however, there is limited exploration and discussion on the relationships between the circadian cycle and autophagy in patients with meningiomas.

Survival properties and spread rates in non-autonomous spread models.

As time progresses, the transmission pattern of a disease may change. To more precisely determine the spread behaviors of the disease, we develop non-autonomous topological and random spread models. In this article, we validate the survival characteristics of these spread models and elucidate their connection with mixing properties using the associated ξ-matrices or spread mean matrices.

Impact of PM, relative humidity, and temperature on sleep quality: a cross-sectional study in Taipei.

Introduction: TWe investigated impacts of particulate matter with an aerodynamic diameter of less than 2.5 μm (PM), relative humidity (RH), and temperature on sleep stages and arousal.

Materials And Methods: A cross-sectional analysis involving 8,611 participants was conducted at a sleep center in Taipei.

Trans-differentiation of Jdp2-depleted Gaba-receptor-positive cerebellar granule cells to Purkinje cells.

The Jun dimerization protein (Jdp2) gene is active in mouse cerebellar granule cells and its protein product plays a crucial role in the formation of the cerebellum lobes through programmed cell death. However, the role of Jdp2 in cellular differentiation and pluripotency in the cerebellum, and the effect of the antioxidation reaction on cell plasticity, remain unknown. N-acetyl-L-cysteine (NAC) induced the early commitment of the differentiation of granule cell precursors (GCPs) to neurons, especially Purkinje cells, via the γ-aminobutyric acid type A receptor α6 subunit (Gabra6) axis; moreover, Jdp2 depletion enhanced this differentiation program of GCPs.

Predicting Survival Status in COVID-19 Patients: Machine Learning Models Development with Ventilator-Related and Biochemical Parameters from Early Stages: A Pilot Study.

: Coronavirus disease 2019 (COVID-19) can cause intubation and ventilatory support due to respiratory failure, and extubation failure increases mortality risk. This study, therefore, aimed to explore the feasibility of using specific biochemical and ventilator parameters to predict survival status among COVID-19 patients by using machine learning. : This study included COVID-19 patients from Taipei Medical University-affiliated hospitals from May 2021 to May 2022.