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
chronic kidney disease
newly diagnosed
machine learning
climate change
prognostic factors
deep learning
small molecule