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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

Author

Qi Xin

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2 papers indexed here

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Open access Sep 2026

Interpretable machine learning models to predict venous thromboembolism in sepsis patients with type 2 diabetes mellitus

Sepsis patients with type 2 diabetes mellitus (T2DM) face a substantially elevated risk of venous thromboembolism (VTE), yet prediction tools tailored for this population are lacking. This study aimed to develop and validate interpretable machine learning models for predicting in-hospital VTE in septic patients wit...

Long-Yang Ma, Xiao-Yuan Yu, Qi Xin · 0 citations
Open access Sep 2026

A machine-learning-derived online prediction model based on inflammatory and nutritional composite indicators for acute kidney injury in sepsis patients with multiple myeloma

An interpretable Random Forest model employing eight routinely available indicators accurately predicts AKI in septic MM patients, bridging algorithmic complexity and bedside applicability, and may facilitate early risk stratification and personalized renal protection in this high-risk group.

Qin Zhang, Qi Xin, Hua-Yang Guo · 0 citations

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