Digital pathology involves the digitisation of histology slides, which is vital in modern healthcare, especially for cancer detection and diagnosis. Still, the manual analysis of these digital slides by expert pathologists is time-consuming and prone... read more
When it comes to developing a strategy for EV charging networks, improving the utilization and planning of charging stations becomes critical with the fast growing market for electric cars. Improvement of power quality has the largest effect on the p... read more
This study addresses the existence and uniform stability of solutions for a class of Caputo-type fractional-order bidirectional associative memory (BAM) neural networks incorporating leakage delay in the view of perturbed system setup. A few numerica... read more
Label-free optical absorption microscopy techniques continue to evolve as promising tools for label-free histopathological imaging of cells and tissues. However, critical challenges relating to specificity and contrast, as compared to current gold-st... read more
When disposed of in landfills, printed circuit boards (PCBs) release hazardous substances. Furthermore, the global sand crisis has gained considerable attention among environmentalists over the last few years, and the United Nations has proposed some... read more
As the shift to electric mobility intensifies, unpredictable EV charging challenges grid stability. This study proposes a multi-layered machine learning framework balancing grid optimization and user service. First, session-level prediction models es... read more
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
May 9, 2026
Maternal mental health is associated with fetal neurodevelopment. Identifying effective treatments for maternal psychiatric conditions is a public health priority. SRIs (SSRIs and SNRIs) are commonly prescribed for prenatal mental health conditions; ... read more
The growing adoption of artificial intelligence in healthcare highlights the need for models that can leverage heterogeneous patient data while preserving strict privacy requirements. This paper proposes a novel multi-modal federated learning framewo... read more
Research on watermark attacking is essential to reinforce robust watermarking methods by providing new attacking benchmarks. Recently, there is an emergence of attacking methods based on deep learning, in which perceptual loss and watermark loss are ... read more
Recurrent miscarriage (RM), a complex pregnancy disorder with largely undefined molecular mechanisms, has been associated with epigenetic abnormalities in chorionic tissue. This study aimed to elucidate methylation-dependent cilia-related genes (CRGs... read more
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