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Tianxiang Geng

As seen in: Frontiers
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Articles

Machine learning predicts clinical response to platelet-rich plasma therapy in knee osteoarthritis

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By Haokang Zhang, Xinhua Yang, Tianxiang Geng, Ruofei Wang, Guishi Li
| Frontiers
Abstract Objective: The purpose of the study is to predict clinical responses to platelet-rich plasma (PRP) therapy in patients with knee osteoarthritis (KOA) before treatment and to identify the crucial efficacy predictors. Methods: We reviewed the multidimensional clinical data of 102 KOA patients who underwent PRP therapy with a retrospective approach, including anthropometrics and blood indices.
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Bone metastases from endocrine cancer: advances in diagnosis, treatment, and prevention

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By Shuzhou Huang, Yue Shen, Hanchen Li, Tianxiang Geng, Jinhong Yan, Li Wang, Laijian Sui
| Frontiers
1 Introduction Endocrine cancers comprise a diverse group of malignancies arising from hormone-producing tissues or hormone-dependent cells, which are typically divided into classical endocrine gland cancers, neuroendocrine tumors (NETs), and endocrine-dependent cancers (1). Among them, thyroid cancer is the most prevalent endocrine malignancies representing over 90%. Its global incidence is rising steadily, attributing to improved screening and diagnostic awareness (2, 3).
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Injectable Self-Healing Oxidized Starch/Gelatin Hybrid Hydrogel for Preventing Aseptic Loosening of Bone Tissue Engineering

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By Xi Chen, Chang Xu, Yi Geng, Tianxiang Geng
| dx.doi.org
Download Hi-Res ImageDownload to MS-PowerPointCite This:ACS Appl. Mater. Interfaces 2024, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).
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