Large language models could transform digestive disorder management, but further RCTs are essential to validate their ...

Abstract: Rapidly-exploring random tree star (RRT*) has attracted intensive attention in track planning due to its asymptotic optimal properties. However, the RRT* algorithm plans costly trajectory ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: By evaluating intricate datasets to maximize plant growth, boost yields, and advance sustainability, smart agriculture—powered by Random Forest machine learning—is transforming botany.

Abscopal effect refers to the shrinkage or regression of metastatic tumours that are distant from the irradiated field.

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

Al-Gahtani, S. (2026) Review of Literature Investigating the Correlation between Prevalence of Risk Factors Associated with ...

Nicola, A.A. (2026) Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies.

Objective: Although physical exercise is widely recognized as an effective non-pharmacological intervention for depressive symptoms, the relative efficacy of different exercise modalities and the ...

Methods: We conducted a 2-week exploratory randomized controlled trial (RCT) with 160 adult participants randomized to receive a generative AI (n=81) or rules-based (n=79) version of a ...

EXPO_PUBLIC_SPOTIFY_CLIENT_ID=your_spotify_client_id_here Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would ...