Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. In this study, we explored large language models (LLMs) to overcome the…
Continue Reading
Based on the literature and collective experience and consensus of the authors, this article provides a definition for an event-driven electronic diary (EDeD), outlines considerations for the use of EDeDs, and provides best practice…
Continue Reading
This Matters Arising questions the MCID threshold for the Knee Society Score in Xiaodi Liu et al.’s study, noting that it represents an excessively large proportion of the total score and may not accurately…
Continue Reading
The demand for demographically and geographically diverse, high-quality, fit-for-purpose real-world data has been increasing to support regulatory and other healthcare decision making. Accessing and sharing healthcare data across sites, regions, and countries while ensuring…
Continue Reading
The efficacy of immunotherapy in bladder cancer (BCa) is highly influenced by tumor heterogeneity, underscoring the urgent need for mechanistic insights and precise molecular subtyping. Adenosine-to-inosine RNA editing (AIRE), a critical post-transcriptional mechanism driving…
Continue Reading
Digital mental health interventions (DMHIs) are playing an increasingly important role in supporting mental healthcare. Despite their widespread adoption during and after the COVID-19 pandemic, there has been a lack of review focused on…
Continue Reading
Sleep disturbances are an underrecognized factor associated with reduced workplace productivity (“presenteeism”). Previous studies have largely relied on self-reported sleep data, limiting their scalability and accuracy. We investigated associations between smartphone-based sleep metrics and…
Continue Reading
Digital health tools such as remote patient monitoring (RPM) and digital health coaching (DHC) offer promising strategies for type 2 diabetes (T2D) management, yet little is known about how underserved Black adults experience these…
Continue Reading
Congenital and acquired heart disease affects approximately 1% of children worldwide, and right ventricular (RV) dysfunction is a common and complex manifestation in conditions such as congenital heart disease, pulmonary hypertension, and prematurity. Accurate…
Continue Reading
Clinical trial failures are frequently driven by patient heterogeneity and limited sample sizes that obscure treatment effects by diluting statistical power. We introduce NetraAI, a novel explainable artificial intelligence (AI) platform that integrates dynamical-systems…
Continue Reading
