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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Pengxiang Zuo

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Open access Oct 2026

An explainable machine learning model based on multidimensional task-state electroencephalography for identifying attention-deficit/hyperactivity disorder comorbid developmental dyslexia

The findings suggest that multidimensional task-state EEG features may help differentiate children with ADHD-DD comorbidity from those with ADHD or typical development and indicate that machine-learning approaches may be useful for identifying neurodevelopmental comorbid conditions.

Ke-Duo Huang, Peng-Xiang Zuo, Xue-Mei Luo et al. · 0 citations
Open access Aug 2026

An interpretable machine learning screening model for MoCA-defined possible mild cognitive impairment in rural Xinjiang: a preliminary framework for resource-limited primary care

An interpretable screening model for MoCA-defined possible MCI tailored to rural Xinjiang is developed and validated by integrating established machine learning techniques within a localized framework, offering moderate discriminative performance and useful interpretability for preliminary screening purposes.

Yu-Tong Li, Li-Li He, Jia-Huan He et al. · 0 citations

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