Nuclear magnetic resonance-based metabolomics with machine learning for predicting progression from prediabetes to diabetes.

Jiang LiYuefeng YuYing SunYanqi FuWenqi ShenLingli CaiXiao TanYan CaiNingjian WangYingli LuBin Wang

Published in: eLife (2024)

Shanghai Municipal Health Commission (2022XD017). Innovative Research Team of High-level Local Universities in Shanghai (SHSMU-ZDCX20212501). Shanghai Municipal Human Resources and Social Security Bureau (2020074). Clinical Research Plan of Shanghai Hospital Development Center (SHDC2020CR4006). Science and Technology Commission of Shanghai Municipality (22015810500).

Keyphrases

magnetic resonance
healthcare
machine learning
public health
wastewater treatment
mental health
endothelial cells
type diabetes
palliative care
emergency department
adipose tissue
risk assessment
metabolic syndrome
quality improvement
weight loss
glycemic control
deep learning
health promotion
pluripotent stem cells