Feasibility of machine learning–based modeling and prediction to assess osteosarcoma outcomes

Feasibility of machine learning–based modeling and prediction to assess osteosarcoma outcomes

Abstract Osteosarcoma, an aggressive bone malignancy predominantly affecting children and adolescents, is characterized by a poor prognosis and high mortality rates. The development of reliable prognostic tools is critical for advancing personalized treatment strategies. However, identifying robust...

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Bibliographic Details
Main Authors: Qinfei Zhao, Weiquan Hu, Yu Xia, Shengyun Dai, Xiangsheng Wu, Jing Chen, Xiaoying Yuan, Tianyu Zhong, Xuxiang Xi, Qi Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Osteosarcoma
Machine learning
Tumor immunotherapy
Risk score
Prognosis
Online Access:https://doi.org/10.1038/s41598-025-00179-z
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https://doi.org/10.1038/s41598-025-00179-z

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