Author

Long-Yang Ma

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 · Frontiers in Endocrinology · 0 citations

Review Open access Aug 2026

IL-37 and IL-38 in sepsis: immune-metabolic rheostats in a dynamic inflammatory continuum

Sepsis is a life-threatening syndrome driven by a dysregulated host response to infection, characterised by dynamic and overlapping phases of hyperinflammation and immune suppression. Despite advances in critical care, effective immunomodulatory therapies remain lacking, reflecting an incomplete understanding of its co...

Hai-Long Yan, Lin-Tong Ma, Xiu-Juan Huang et al. · Frontiers in Immunology · 0 citations