Economic impact associated with dronedarone use in patients with atrial fibrillation.

Objective/AimIn 2009, dronedarone was approved by the United States Food and Drug Administration based on results from the ATHENA trial (NCT00174785), which showed significant reduction of cardiovascular (CV) hospitalization and death in patients with atrial fibrillation (AF) randomized to dronedarone versus placebo. In 2020, a retrospective study by Goehring et al. showed CV hospitalizations and deaths were lower in clinical practice following initiation of dronedarone compared to other antiarrhythmic drugs (AADs) in patients with AF and atrial flutter.

Contrastive learning with transformer for adverse endpoint prediction in patients on DAPT post-coronary stent implantation.

Background: Effective management of dual antiplatelet therapy (DAPT) following drug-eluting stent (DES) implantation is crucial for preventing adverse events. Traditional prognostic tools, such as rule-based methods or Cox regression, despite their widespread use and ease, tend to yield moderate predictive accuracy within predetermined timeframes. This study introduces a new contrastive learning-based approach to enhance prediction efficacy over multiple time intervals.

Productive biosensing techniques empowered by all-dielectric metasurfaces.

Artificially designed, functional nanostructured surfaces, called metasurfaces, are an emerging platform for biosensing. Two major types of metasurface biosensors have been reported: one is based on resonant-wavelength shift and the other is specialized for fluorescence (FL) detection. The all-dielectric metasurfaces that composed of periodic arrays of silicon nanocolumns have a series of optical magnetic-mode resonances, some of which were found to significantly enhance capability for FL detection of diverse target biomolecules, ranging from nucleic acid to antigens and antibodies.

Degradation dynamics of Trifluralin in Qinghai-Tibet Plateau and screening of its degrading strains.

Trifluralin (FLL) is extensively used in rapeseed fields in the Qinghai-Tibet Plateau (QTP) region. However, the degradation kinetics of FLL in this area and its impact on environmental microbial communities are not yet known. To investigate the degradation patterns and ecological benefits of FLL, this study established a comprehensive method for detecting FLL residues and selected efficient degrading bacterial strains.

AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders.

Introduction: Evaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificial intelligence (AI) with the depth of neuropsychological assessments is needed.

Objectives: This paper presents a novel protocol for AI-assisted neurocognitive assessment aimed at addressing the cognitive, emotional, and functional dimensions of older adults with psychiatric disorders.

The role of ketamine and its enantiomer in managing depression and pain in cancer patients: A narrative review.

Depression and pain are common comorbidities in cancer patients, and ketamine, a dissociative anesthetic, has shown potential in managing both. This review summarizes current literature on ketamine and its enantiomer, esketamine, in managing depression and pain in the oncologic population. Studies indicate that sub-anesthetic doses of intravenous ketamine and esketamine can alleviate postoperative depressive symptoms in cancer patients with a tolerable safety profile.

Environment scan of generative AI infrastructure for clinical and translational science.

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the CTSA Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers.

Identification, distribution, and hosts of spp. infecting horticultural crops in Florida, USA with focus on .

Many root-knot nematode (RKN) species in the genus occur in Florida, including , a species able to overcome RKN resistance genes in many crops. The distribution of these nematodes in horticultural crops is not well known. A RKN survey was conducted in South and Central Florida aiming to: (i) identify RKN infecting vegetables, fruit, and other crops; (ii) document host plants; (iii) determine RKN distribution; and (iv) gain insight on the relatedness of obtained in this study with other populations from the USA and other countries.

scHiGex: predicting single-cell gene expression based on single-cell Hi-C data.

A novel biochemistry experiment named HiRES has been developed to capture both the chromosomal conformations and gene expression levels of individual single cells simultaneously. Nevertheless, when compared to the extensive volume of single-cell Hi-C data generated from individual cells, the number of datasets produced from this experiment remains limited in the scientific community. Hence, there is a requirement for a computational tool that can forecast the levels of gene expression in individual cells using single-cell Hi-C data from the same cells.

Geochemical signatures and nanomechanical properties of echinoid tests from nearshore habitats of Florida: environmental and physiological controls on echinoid biomineralization.

The mechanisms that regulate minor and trace element biomineralization in the echinoid skeleton can be primarily controlled biologically (, by the organism and its vital effects) or by extrinsic environmental factors. Assessing the relative role of those controls is essential for understanding echinoid biomineralization, taphonomy, diagenesis, and their potential as geochemical archives. In this study, we (1) contrast geochemical signatures of specimens collected across multiple taxa and environmental settings to assess the effects of environmental and physiological factors on skeletal biomineralogy; and (2) analyze the nanomechanical properties of the echinoid skeleton to assess potential linkages between magnesium/calcium (Mg/Ca) ratios and skeletal nanohardness.

Storm Surge Projection and Objective-Based Risk Management for Climate Change Adaptation along the US Atlantic Coast.

Climate change brings intense hurricanes and storm surges to the US Atlantic coast. These disruptive meteorological events, combined with sea level rise (SLR), inundate coastal areas and adversely impact infrastructure and environmental assets. Thus, storm surge projection and associated risk quantification are needed in coastal adaptation planning and emergency management.

Altered lipid homeostasis and autophagy precipitate diffuse alveolar hemorrhage in murine lupus.

Abnormal autophagy regulation is implicated in lupus and other autoimmune diseases. We investigated autophagy in the murine pristane-induced lupus model. Pristane causes monocyte/macrophage-mediated endoplasmic reticulum (ER) stress in lung endothelial cells and diffuse alveolar hemorrhage (DAH) indistinguishable from DAH in lupus patients.

Impact of cariprazine on body weight and blood pressure among adults with bipolar I disorder, schizophrenia, or major depressive disorder in a real-world setting.

Background: Atypical antipsychotics are a common treatment for serious mental illness, but many are associated with adverse effects, including weight gain and cardiovascular issues, and real-world experience may differ from clinical trial data. Cariprazine has previously demonstrated a favorable safety and tolerability profile in clinical trials. Here, we evaluated the effects of cariprazine on body weight and blood pressure for bipolar I disorder (BP-I), schizophrenia, or as adjunctive treatment for major depressive disorder (MDD) using real-world data.

Early osteogenic differentiation of human dental stem cells by gelatin/calcium phosphate- Punica granatum nanocomposite scaffold.

Background: Tissue engineering for bone regeneration aims to heal severe bone injuries. This study aimed to prepare and assess the early osteogenic differentiation effects of a gelatin/calcium phosphate- Punica granatum nanocomposite scaffold on stem cells from human exfoliated deciduous (SHED) and human dental pulp stem cells (HDPSCs).

Methods: The electrospinning method was used to prepare a gelatin/calcium phosphate nanocomposite scaffold containing pomegranate (Punica granatum) extract.

Green synthesis of silica-coated gold nanoparticles employing femtosecond laser, solid targets, and water.

Gold nanoparticles are widely used in biomedical applications due to their unique properties. However, traditional synthesis methods generate contaminants that cause cytotoxicity and compromise the biocompatibility of the nanomaterials. Therefore, green synthesis methods are essential to produce pure and biocompatible nanoparticles, ensuring their effectiveness in biomedical applications.

Respiratory and Cardiovascular Medical Emergency Calls Related to Indoor Heat Exposure through a Case-Control Study in New York City.

Understanding when and where heat adversely influences health outcomes is critical for targeting interventions and adaptations. However, few studies have analyzed the role of indoor heat exposures on acute health outcomes. To address this research gap, the study partnered with the New York City Fire Department Emergency Medical Services.

Rome Foundation Working Team Report on overlap in disorders of gut-brain interaction.

In patients with disorders of gut-brain interaction (DGBI), overlapping non-gastrointestinal conditions such as fibromyalgia, headaches, gynaecological and urological conditions, sleep disturbances and fatigue are common, as is overlap among DGBI in different regions of the gastrointestinal tract. These overlaps strongly influence patient management and outcome. Shared pathophysiology could explain this scenario, but details are not fully understood.

Machine learning meta-analysis identifies individual characteristics moderating cognitive intervention efficacy for anxiety and depression symptoms.

Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for anxiety and depression symptoms. Machine learning methods, alongside traditional statistical approaches, were employed to analyze 22 datasets with 1544 participants who underwent working memory training, attention bias modification, interpretation bias modification, or inhibitory control training.

Evaluating AI performance in nephrology triage and subspecialty referrals.

Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in the context of the rising prevalence of kidney-related conditions with the aging global population. This study evaluates the utility of ChatGPT, a large language model, in triaging nephrology cases through simulated real-world scenarios. Two nephrologists created 100 patient cases that encompassed various aspects of nephrology.

Short-term evolutionary implications of an introgressed size-determining supergene in a vulnerable population.

The Thorny Skate (Amblyraja radiata) is a vulnerable species displaying a discrete size-polymorphism in the northwest Atlantic Ocean (NWA). We conducted whole genome sequencing of samples collected across its range. Genetic diversity was similar at all sampled sites, but we discovered a ~ 31 megabase bi-allelic supergene associated with the size polymorphism, with the larger size allele having introgressed in the last ~160,000 years B.

Effect of SARS-CoV2 Infection on Endovascular Thrombectomy Outcomes - Data from the Florida Stroke Registry.

Background And Purpose: Endovascular thrombectomy outcomes are impacted by changes in stroke systems of care. During the pandemic, SARS-CoV2 positive status had major implications on hospital arrival and treatment models of non-COVID related hospital admissions. Using the Florida Stroke Registry, we compared the rates of in-hospital death and discharge outcomes of patients treated with endovascular thrombectomy who tested positive for SARS-CoV2 infection during their hospitalization.

Nuclear Magnetic Resonance Study of Monoclonal Antibodies Near an Oil-Water Interface.

Monoclonal antibodies (mAb) represent an important class of biologic therapeutics that can treat a variety of diseases including cancer, autoimmune disorders or respiratory conditions (e.g. COVID-19).