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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 ZhuYang DongChun-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
  • prognostic factors
  • peritoneal dialysis
  • machine learning
  • obstructive sleep apnea
  • deep learning
  • positive airway pressure