Author

Yuwen Shangguan

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Open access Sep 2026

Activity-function transitions and interpretable machine learning for predicting incident depressive symptoms among ACE-exposed middle-aged and older adults: a multi-cohort study

Background Ad--verse childhood experiences (ACEs) are associated with increased risk of depressive symptoms in later life. This study aimed to develop and externally validate an interpretable machine-learning model for predicting incident depressive symptoms among ACE-exposed middle-aged and older adults. Methods Data...

Zhen-Hao Lin, Yuwen Shangguan, Young-Je Sim et al. · Frontiers in Public Health · 0 citations

Open access Sep 2026

Closing the Vicious Cycle: A Multimodal Hydrogel Targeting Hyperglycemia, Oxidative Stress, and Infection in Diabetic Wounds

Diabetic chronic wounds, characterized by a unique pathological microenvironment including persistent hyperglycemia, excessive reactive oxygen species (ROS), bacterial infection, and sustained inflammation, exhibit notoriously impaired and delayed healing processes. This study developed a multifunctional hydrogel t...

Bao-Wei Zhai, Xian-Feng Wang, Yuwen Shangguan et al. · Rare Metals · 0 citations

#explainable ai Open access Sep 2026

Predictive value of physical activity and walking time for dual cognitive-physical decline: a multinational cohort study using temporal deep learning and explainable AI

PA was associated with lower risk and more favorable transition patterns, although transitions to less impaired states should not be interpreted as definitive functional recovery, and Multistate Markov analyses suggested dynamic cognitive-physical state transitions.

Zhen-Hao Lin, Hao-Nan Liu, Young-Je Sim et al. · European Review of Aging and... · 0 citations