Spatial and activity-dependent gene regulation in the mammalian brain requires coordinated control of RNA synthesis and degradation, yet spatially resolved measurement of RNA turnover kinetics in complex tissues remains technically challenging. Here,... read more
Robust estimation of systemic human cognitive states is critical for many applications, from simply detecting inefficiencies in human task performance to adapting the behaviors of artificial agents to improve team performance in mixed-initiative huma... read more
Passive acoustic monitoring is a valuable tool for studying elusive marine mammals, but analyzing large datasets is typically labor-intensive and costly. In this study, we piloted an automatic approach for sound analysis on extensive datasets of acou... read more
The global demand for cosmetic procedures is accelerating, with over 1.6 million aesthetic surgical procedures performed in the US in 2023. Concurrently, AI is transforming surgical practice through advanced analytics, predictive modeling, and comput... read more
BACKGROUND: The integration of AI chatbots into plastic surgery websites is now standard, providing asynchronous, real-time engagement for patients. Although promoted as scheduling and medical guidance tools, their contribution to clinical workflow i... read more
BACKGROUND: Nasolabial-fold (NLF) severity is a key indicator of facial aging and a frequent target in aesthetic treatments. The Wrinkle Severity Rating Scale (WSRS) is widely used for clinical grading but remains inherently subjective and vulnerable... read more
BACKGROUND: The increasing prevalence of implant-based breast surgeries highlights a critical gap in patient knowledge regarding implant information, exacerbated by inadequate record-keeping and emerging safety concerns. OBJECTIVES: The authors of th... read more
Neural networks : the official journal of the International Neural Network Society
Jan 28, 2026
Multimodal image fusion and object detection significantly enhance detection accuracy and robustness in complex environments, which is crucial for autonomous driving. Despite the progress in multimodal fusion methods, most of them focus on generating... read more
Femur segmentation is a precursor to image analysis pipelines that evaluate hip bone measures with subject-specific finite element models, but historically required time-intensive efforts of operators. Implementing deep learning techniques offers a p... read more
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