International journal of computer assisted radiology and surgery
Apr 21, 2026
PURPOSE: Machine learning in medical imaging (MIML) is critical to computer-aided diagnostics. However, data heterogeneity-variation in medical data across sources and conditions-remains underexplored, despite its impact on model generalizability. Th... read more
The prevalence of incidentally detected pancreatic cystic lesions has increased substantially with the widespread use of high-resolution CT and MRI. Differentiating mucinous from non-mucinous cystic lesions is a central diagnostic task, as mucinous l... read more
Ergothioneine (EGT), a potent natural antioxidant from edible fungi, is highly valued for its antioxidant, anti-inflammatory, and cytoprotective effects. Despite its significant commercial potential in food, cosmetics, and medicine, industrial-scale ... read more
BackgroundAccurate assessment of operator mental workload (MWL) is critical for ensuring safety in closed-cabin environments, yet traditional contact-based sensors are intrusive.ObjectiveThis study aimed to develop and validate a fully non-contact, m... read more
AIMS: Hepatocellular carcinoma (HCC) represents a major global health burden. Tumor-associated autoantibodies (TAAs) represent promising biomarkers for cancer detection. This study aims to evaluate the diagnostic value of autoantibody panels in HCC. ... read more
Autism : the international journal of research and practice
Apr 21, 2026
Attenuated sound-shape matching in the classic Kiki-Bouba effect in autism has already been replicated in several studies, but it remains unclear whether this attenuation is confined to low-level multisensory integration or whether it reflects a broa... read more
Urinary tract infections (UTIs) are diagnosed based on symptoms and confirmed by urine culture, despite its limitations in sensitivity. False-negative cultures can lead to inappropriate antimicrobial use or urosepsis in high-risk patients. Next-gener... read more
Small (Weinheim an der Bergstrasse, Germany)
Apr 21, 2026
The increasing energy and bandwidth demand of modern AI workloads highlight the need for hardware that mitigates the data-movement bottleneck of von Neumann architectures. Compute-in-memory and neuromorphic systems offer a compelling solution, yet re... read more
Diffractive neural networks (DNNs) offer an energy-efficient platform for optical artificial intelligence by exploiting the inherent parallelism of light propagation. However, most existing DNN architectures are limited to single-label recognition, r... read more
The protein corona (PC) has widely been demonstrated to impact the pharmacokinetics, safety, and efficiency of nanoparticle (NP) systems for clinical applications such as drug or vaccine delivery. However, a comprehensive understanding of PC formatio... read more
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