IEEE transactions on pattern analysis and machine intelligence
May 4, 2026
Learning a single shared model across multiple tasks is a long-standing goal in machine learning, traditionally addressed through Multi-Task Learning (MTL) or Serial Continual Learning (SCL). However, MTL assumes fixed task availability, limiting ada... read more
Macrophage polarization correlates strongly with the progression and prognosis of spinal cord injury (SCI), yet the therapeutic potential of macrophage polarization-related genes (MPRGs) in SCI remains unexplored. This study identified hub genes asso... read more
BACKGROUND: The detrimental cycle of sarcopenic obesity (SO) significantly reduces quality of life in older adults, while the mechanisms are still unclear. MATERIALS AND METHODS: We first analyzed the incidence of SO using the CHARLS database. We ide... read more
BACKGROUND: Advances in digital orthodontics and artificial intelligence (AI) planning have the potential to enhance treatment precision, but randomized evidence based on the Peer Assessment Rating (PAR) index remains limited. METHODS: In this single... read more
Traditional cell counting in clinical and research settings often relies on hemocytometry, a manual technique that is labor-intensive and prone to human error. These limitations in precision and throughput can hinder the development of effective diag... read more
To meet the demand for efficient and safe underground material transportation in the intelligent construction of coal mines, addressing the unstructured environmental characteristics of mine roadways, this study proposes an improved path planning alg... read more
We propose ADGNET, a semi-supervised framework for Alzheimer's disease (AD) diagnosis that jointly optimizes image reconstruction and classification through shared feature representations. The architecture integrates a residual backbone with attentio... read more
Underground All-Dielectric Self-Supporting (ADSS) optical cables in urban areas are frequently compromised by external disturbances such as construction activities and human excavation, posing a serious threat to power grid security. Current single-a... read more
Journal of chemical information and modeling
May 4, 2026
Artificial intelligence has transformed protein structure prediction, with AlphaFold2 (AF2) generating models with near-experimental accuracy. However, as AF2 was trained to generate a single structural model, this method does not capture the conform... read more
OBJECTIVE: To develop and evaluate an automatic patient review analyzer that applies advanced Natural Language Processing (NLP) and machine learning methods to improve the efficiency, fairness, and accuracy of healthcare feedback analysis. MATERIALS ... read more
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