Identifying squalene epoxidase as a metabolic vulnerability in high-risk osteosarcoma using an artificial intelligence-derived prognostic index.

Yongjie WangXiaolong MaEnjie XuZhen HuangChen YangKun-Peng Zhu Yang Dong Chun-Lin Zhang

Published in: Clinical and translational medicine (2024)

AIDPI is a robust biomarker for identifying the high-risk subset of OSA patients. The SQLE protein emerges as a metabolic vulnerability in these patients, providing a target with translational potential.

Keyphrases

artificial intelligence
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
machine learning
prognostic factors
climate change
peritoneal dialysis
deep learning
patient reported
human health