Large language models (LLMs) are transforming broad research areas, yet concerns about their trustworthiness remain. This study explored the use of Retrieval-Augmented Generation (RAG) to improve LLMs' knowledge extraction in the field of mealworm-me...
The performance of large language models (LLMs) during acute pain assessment in cats has not been evaluated. This study evaluated the agreement of the Feline Grimace Scale (FGS) scoring between four chatbots (ChatGPT, Gemini, Claude AI, and Perplexit...
Neuronal ensemble activity, including coordinated and oscillatory patterns, exhibits hallmarks of nonequilibrium systems with time-asymmetric trajectories to maintain their organization. However, assessing time asymmetry from neuronal spiking activit...
UNLABELLED: Single-cell RNA sequencing (scRNA-seq) technology enables researchers to explore heterogeneity of diverse cell types within complex tissues at the single-cell resolution. Cell annotation, as a crucial step in scRNA-seq data analysis, prov...
Despite decades of research, the successful clinical translation of intravenously administered nanomedicines is underwhelming. One significant barrier to progress is the opsonization and rapid clearance from the bloodstream due to protein corona form...
Super-resolution microscopy, particularly localization-based methods, necessitates careful balancing of optical complexity, computational demands, and user accessibility. Conventional strategies typically adopt either deterministic or learning-based ...
Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for unbiased cavity identification, cavity-specific li...
Atrial fibrillation (AF), the most common form of cardiac arrhythmia, is closely associated with atrial fibrosis and electrophysiological remodeling, both of which contribute to its persistence and recurrence. Current treatment strategies remain limi...
BACKGROUND: This study assesses the capability of ChatGPT and nurses in accurately triaging emergency patients compared to veterinarians. METHODS: Retrospective observational study of canine patients that presented at a private veterinary specialist ...
Aerial insects exhibit agile maneuvers such as sharp braking, saccades, and body flips under disturbances; in contrast, insect-scale aerial robots are limited to tracking smooth trajectories with small acceleration. To achieve similar flight capabili...
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