Theranostic hydrogels represent a groundbreaking approach by integrating therapeutic and diagnostic capabilities within a single platform, enabling real-time monitoring of wounds and precise treatment applications. These advanced materials are engine... read more
Retinal microvascular imaging is increasingly recognised as a non invasive
method for evaluating systemic vascular and metabolic health. However, the
association between lipidomics and retinal vasculature remains inadequate. This
study investigates... read more
Current evidence for predictive models of post-stroke depression (PSD) risk based on machine learning (ML) remains limited. The aim of this study is to develop a superior predictive model based on ML algorithms for PSD in the Chinese population. We r... read more
Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segmentation of primary gross tumor volume (GTVt) is essential but also challenging due to significant interobserver variability and the time consumed in ... read more
Autism : the international journal of research and practice
Aug 5, 2025
Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan:... read more
Miniaturized endoscopy has advanced accurate visual perception within the
human body. Prevailing research remains limited to conventional cameras
employing convex lenses, where the physical constraints with millimetre-scale
thickness impose serious... read more
Large-scale pre-training frameworks like CLIP have revolutionized multimodal
learning, but their reliance on web-scraped datasets, frequently containing
private user data, raises serious concerns about misuse. Unlearnable Examples
(UEs) have emerge... read more
Two-dimensional (2D) materials and van der Waals (vdW) heterostructures have emerged as key enablers in addressing the fundamental limitations of silicon-based technologies, driving advancements in next-generation electronic systems. Their high carri... read more
Depression is a pervasive mental health condition that affects hundreds of
millions of individuals worldwide, yet many cases remain undiagnosed due to
barriers in traditional clinical access and pervasive stigma. Social media
platforms, and Reddit ... read more
Realistic and controllable panoramic LiDAR data generation is critical for
scalable 3D perception in autonomous driving and robotics. Existing methods
either perform unconditional generation with poor controllability or adopt
text-guided synthesis,... read more
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