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CrossRef TwoStep Machine Learning Model Enhances Identification of HighRisk Metabolic DysfunctionAssociated Steatotic Liver Disease Zheng'ao Xu, Yongfen Zhu, Fengjuan Chen, Qiongyue Fan, Ruiqi Wang, Yilong Fu, Xunxun Wu, Li Zhu, Fushuang Ha, Qing Ye, Chunyan Ye, Xiaoming Chen, Meijie Chen, Jiale Niu, Yangyang Xie, Kaixin Chang, Jiakun Miao, Weili Liu, Junping Shi, Zhongjie Hu, Minghua Liver International .2026;[Epub] CrossRef Risk of Microvascular and Macrovascular Complications in Patients with Type 2 Diabetes and Metabolic Dysfunction-Associated Steatohepatitis: A Retrospective Cohort Study Semiu O

Thanks to this technology it is possible to effectively eliminate localized fat deposits that cannot be corrected by diet and exercise, without surgery, pain and a long rehabilitation period

All of these can work together to create a visible fold that does not always respond to diet or exercise alone

In almost every study, participants were also following diet and exercise guidance