Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mar 9, 2026
Deep brain stimulation (DBS) for treatment-resistant depression (TRD) is challenged by significant individual variability in efficacy and unclear neural circuit mechanisms. To address this, a cross-species, multi-level electrophysiological study was ... read more
In recent years, numerous publications have emerged claiming that animals possess consciousness. Moreover, neurophysiological literature has discussed the possible existence of consciousness in artificial intelligence (AI). Both ideas stem from analy... read more
BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in multicenter, randomized controlled trials is lacking. We aimed to explore whether AI can enhance gastric neoplasm detection. METHODS: Participants from... read more
INTRODUCTION: This study aimed to validate a deep learning (DL) model for automated hip fracture detection on pelvic X-rays in emergency departments (EDs) and benchmark its performance against that of junior doctors and radiographers in the ED. METHO... read more
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mar 9, 2026
Artificial intelligence (AI)-driven discovery of antimicrobial peptides (AMPs) is yet to fully utilize their three-dimensional (3D) structural characteristics, microbial species-specific antimicrobial activities, and mechanisms. Here, we constructed ... read more
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mar 9, 2026
High-throughput, single-cell resolution profiling of neuronal activity is critical for understanding brain function and modeling neurological disorders, yet existing approaches are often limited by scalability and manual workflows. Here, we present a... read more
The functionalization of methane is regarded as the "holy grail" reaction in chemistry. Photocatalysis is an emerging approach that activates the inert C-H bond in methane under mild conditions, enabling its functionalization to produce sustainable c... read more
Wet-state ball milling of ceramic nanoparticles is analyzed by machine learning and machine-learning-assisted model formulation. A linear model formula is constructed from the high-impact input features revealed in the machine learning. The formula e... read more
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