Robust single-nucleus RNA sequencing reveals depot-specific cell population dynamics in adipose tissue remodeling during obesity.

Single-nucleus RNA sequencing (snRNA-seq), an alternative to single-cell RNA sequencing (scRNA-seq), encounters technical challenges in obtaining high-quality nuclei and RNA, persistently hindering its applications. Here, we present a robust technique for isolating nuclei across various tissue types, remarkably enhancing snRNA-seq data quality. Employing this approach, we comprehensively characterize the depot-dependent cellular dynamics of various cell types underlying mouse adipose tissue remodeling during obesity.

Multicenter analysis of the incidence of in-stent stenosis following the deployment of flow-redirection endoluminal device in the treatment of intracranial aneurysms.

Introduction: The Flow Re-direction Endoluminal Device (FRED) is a novel flow diverter with a unique double stent design, with an inner stent composed of 48 nitinol wires, and an outer stent with 16 nitinol wires. It is designed for endovascular cerebral aneurysm treatment, although, limited data exist regarding in-stent stenosis (ISS) rates associated with FRED devices.

Methods: A registry encompassing two North American comprehensive stroke centers was the base of this study.

Quality of life among geriatric population living with functional disabilities: A comparison between urban and rural populations of West Bengal.

Introduction: Global elderly population's growth is evident, with projections reaching 2 billion by 2050, while India's geriatric population is expected to rise to 11.6% by 2026. Disparity in quality of life (QOL) and disabilities between urban and rural elderly exist, where rural elderly maintain active roles, while urban counterparts face economic insecurity post retirement.

Regional Variations in the Management of Cerebral Arteriovenous Malformations: A Nationwide Inpatient Sample Analysis of Surgical Excision and Endovascular Embolization.

Introduction: Cerebral arteriovenous malformations (AVMs) represent a complex neurosurgical challenge with management strategies that vary significantly across regions. The decision to treat unruptured AVMs, in particular, is controversial, with options ranging from conservative management to surgical excision or endovascular embolization. This study investigates regional variations in treating unruptured and ruptured AVMs in the United States.

Enhancing signal-to-noise ratio in real-time LED-based photoacoustic imaging: A comparative study of CNN-based deep learning architectures.

Recent advances in Light Emitting Diode (LED) technology have enabled a more affordable high frame rate photoacoustic imaging (PA) alternative to traditional laser-based PA systems that are costly and have slow pulse repetition rate. However, a major disadvantage with LEDs is the low energy outputs that do not produce high signal-to-noise ratio (SNR) PA images. There have been recent advancements in integrating deep learning methodologies aimed to address the challenge of improving SNR in LED-PA images, yet comprehensive evaluations across varied datasets and architectures are lacking.