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Identifying the critical state of cancers by single-sample Markov flow entropy.

Juntan LiuYuan TaoRuoqi LanJiayuan ZhongPei ChenPei Chen
Published in: PeerJ (2023)
The proposed method has shown its capability to accurately detect pre-disease states of four cancers and provide two novel prognostic biomarkers, O-sMFE and P-sMFE biomarkers, to facilitate the personalized prognosis of patients. This is a remarkable achievement that could have a major impact on the diagnosis and treatment of complex diseases.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • patient reported
  • childhood cancer