Feasibility of machine learning–based modeling and prediction to assess osteosarcoma outcomes
Zhao Q, Hu W, Xia Y, Dai S, Wu X, Chen J, Yuan X, Zhong T, Xi X, Wang Q. Feasibility of machine learning–based modeling and prediction to assess osteosarcoma outcomes. Scientific Reports 2025, 15: 17386. PMID: 40389469, PMCID: PMC12089500, DOI: 10.1038/s41598-025-00179-z.Peer-Reviewed Original ResearchConceptsGene signatureLow-risk score groupIncreased metastasis riskLow-risk patientsSensitive to immunotherapyUnivariate Cox regression analysisReduced immune infiltrationCox regression analysisPersonalized therapeutic strategiesAggressive bone malignancyOsteosarcoma outcomesPersonalized treatment strategiesHigh-risk scoreOverall survivalHigher mortality rateProlonged survivalMetastasis riskMulticenter cohortImmune infiltrationPoor prognosisRisk stratificationC-indexDrug sensitivityClinical managementPrognostic tool
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