International journal of radiation biology
Mar 5, 2026
PURPOSE: The aim of this study was to develop and compare two intelligent model for stratifying the severity of acute radiation syndrome (ARS) in humans based on clinical, hematological, and radiobiological parameters. METHOD: The high inter-individu... read more
Neural networks : the official journal of the International Neural Network Society
Mar 5, 2026
Inspired by the Kolmogorov-Arnold superposition theorem, Kolmogorov-Arnold Networks (KANs) have recently emerged as an improved backbone for most deep learning frameworks, promising more adaptivity than their multilayer perceptron (MLP) predecessor b... read more
Patients with advanced lung adenocarcinoma have a range of treatment options, including targeted therapy and gene assay-guided chemotherapy. The aim of the present study was to investigate the prognostic factors and treatment-related variables influe... read more
European heart journal. Digital health
Mar 5, 2026
AIMS: The artificial intelligence (AI)-derived electrocardiographic (ECG) age gap-the difference between AI-predicted ECG age and chronological age-is an emerging biomarker of biological ageing linked to mortality. This study assessed its prognostic ... read more
Osteoporotic bone defects (OBD) present a major clinical challenge, largely due to a pathological bone microenvironment that severely compromises regenerative capacity. Moving beyond conventional classification schemes that often fail to capture this... read more
In order to address the tracking accuracy degradation of the tank gun control system (TGCS) with inherent structural nonlinearity and feedback hysteresis under complex disturbances, a Disturbance Modeling Compensated Linear Active Disturbance Rejecti... read more
Neural networks : the official journal of the International Neural Network Society
Mar 5, 2026
Efficient computation of the boundary of convex sets defined by mappings subject to explicit constraints is crucial for control, optimization, and multi-objective learning. However, existing methods often struggle to scale in high-dimensional spaces ... read more
Neural networks : the official journal of the International Neural Network Society
Mar 5, 2026
This paper introduces the Hierarchical Kolmogorov-Arnold Network (HKAN), a novel neural model that eliminates the need for backpropagation. While structurally related to the standard Kolmogorov-Arnold Network (KAN), HKAN employs a randomized learning... read more
PURPOSE OF REVIEW: The development of digital solutions has a direct impact on the modern understanding of the future of urology. Augmented reality is no exception. Specialists use it for intraoperative navigation, which positively impacts procedure ... read more
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