Neurodegenerative diseases represent a major and growing clinical challenge due to their progressive nature, biological heterogeneity, and limited therapeutic options. Recent advances in artificial intelligence (AI) have introduced new analytical str... read more
Neural networks : the official journal of the International Neural Network Society
Feb 3, 2026
Imbalanced datasets are always problematic in training machine learning models, so that classifiers often struggle to achieve satisfactory performance. Numerous approaches have been developed to tackle imbalanced data problems. Among them, some data-... read more
Neural networks : the official journal of the International Neural Network Society
Feb 3, 2026
The challenges of training and inference in few-shot environments persist in the area of graph representation learning. The quality and quantity of labels are often insufficient due to the extensive expert knowledge required to annotate graph data. I... read more
As a natural producer of omega-3 fatty acids, Schizochytrium demonstrates exceptional cell density and docosahexaenoic acid (DHA) production efficiency, establishing its status as a microbial platform of industrial significance. However, the absence ... read more
BACKGROUND: This study aimed to explore the functions and potential mechanisms of PIWI-interacting RNA-related genes (piRPGs) in bladder cancer (BC) development and to identify potential prognostic genes. METHODS: This study used differential analysi... read more
BACKGROUND: Multiplex immunofluorescence imaging enables detailed characterization of the tumor immune microenvironment, but whether immune cell densities add prognostic value beyond established clinical factors in non-small cell lung cancer (NSCLC) ... read more
Neural networks : the official journal of the International Neural Network Society
Feb 3, 2026
Existing graph knowledge distillation methods suffer from limited absorption of the teacher's "dark knowledge" because they rely on simple logit alignment, which often causes overfitting or incomplete capture of underlying patterns. Additionally, rel... read more
Neural networks : the official journal of the International Neural Network Society
Feb 3, 2026
In partially observable multi-agent tasks, communication modules need to be trained to supplement information for decision-making, and decision-making modules need to be trained to analyze received information. This leads to their coupling during the... read more
Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Feb 3, 2026
Biological age may better predict health outcomes than chronological age by capturing individual heterogeneity in aging. We investigated whether accelerated spine aging, estimated from DXA vertebral fracture assessment (VFA) using deep learning, pred... read more
Traditional soft robotic grippers often lack the structural rigidity required to maintain stable poses under external forces, as well as the fine control and precision offered by rigid grippers or conventional robotic hands. These limitations are par... read more
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