Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E-stained images for ovarian cancer prognosis.

Background: The ability to predict the prognosis of patients with ovarian cancer can greatly improve disease management. However, the knowledge on the mechanism of the prediction is limited. We sought to deconvolute the attention feature learnt by a deep learning convolutional neural networks trained with whole-slide images (WSIs) of hematoxylin-and-eosin (H&E)-stained tumor samples using spatial transcriptomic data.

Distinct Behavioural and Brain Response Profiles Between Arithmetic Word Problem Solving and Sentence Comprehension in Third and Fourth Graders.

Word problems are essential for math learning and education, bridging numerical knowledge with real-world applications. Despite their importance, the neural mechanisms underlying word problem solving, especially in children, remain poorly understood. Here, we examine children's cognitive and brain response profiles for arithmetic word problems (AWPs), which involve one-step mathematical operations, and compare them with nonarithmetic word problems (NWPs), structured as parallel narratives without numerical operations.

Longitudinal Outcomes of Patients with Aortic Stenosis Stratified by Sex: An Asian Perspective.

Background: Severe aortic stenosis (AS) stratified by sex has been increasingly studied in the European population. Sex-specific outcomes in Asian patients with AS remain poorly defined. Hence, we aimed to study the clinical characteristics and impact of sex in moderate-to-severe AS, undergoing both invasive and conservative interventions in an Asian cohort over 10 years.

Longitudinal analysis of in-hospital cardiac arrest: trends in the incidence, mortality, and long-term survival of a nationwide cohort.

Background: In-hospital cardiac arrest (IHCA) poses a considerable threat to hospitalized patients, leading to high mortality rates and severe neurological deficits among survivors. Despite the advancements in resuscitation practices, the prognosis of IHCA remains poor, and comprehensive studies exploring nationwide trends and long-term survival are scarce, particularly in the Asian populations.

Methods: Utilizing data from the Taiwan National Health Insurance Research Database, we conducted a nationwide cohort study to analyze the IHCA events among adult patients between 2003 and 2020.

Phytochemical-based nanosystems: recent advances and emerging application in antiviral photodynamic therapy.

Phytochemicals are typically natural bioactive compounds or metabolites produced by plants. Phytochemical-loaded nanocarrier systems, designed to overcome bioavailability limitations and enhance therapeutic effects, have garnered significant attention in recent years. The coronavirus disease 2019 (COVID-19) pandemic has intensified interest in the therapeutic application of phytochemicals to combat viral infections.