侯佐贤
助理研究员
研究领域:
基于生物力学与人工智能背景开展器官多模态、多组学的医疗研究
既往成果:
作为课题骨干参与多项国家级及省部级重点科研项目,包括科技部“科技创新2030”重大项目,中国医学科学院创新工程项目,北京协和医院中央高水平医院临床科研专项专科提升项目等。作为项目负责人主持国家自然科学青年基金项目“多模态数据驱动构建虚拟肾脏系统中肾脏生理年龄在慢性肾脏病中的临床价值”。以第一作者(并列第一)身份发表学术论文 5篇,其中SCI 论文4篇。
学术论文:
1.Hou Z, Zhang G, Ma Y, et al. Development of a multimodal kidney age prediction based on automatic segmentation CT image in patients with normal renal function. Clin Kidney J. 2023;16(11):2091-2099.
2.Zhang S, Chen X, Hou Z, et al. Renal Outcomes in Older Adults with Antineutrophil Cytoplasmic Autoantibody-Associated Vasculitis: A New Prediction Model. American Journal of Nephrology. 2023;54(9-10):399-407.
3.Hou Z, Guertler CA, Okamoto RJ, et al. Estimation of the mechanical properties of a transversely isotropic material from shear wave fields via artificial neural networks. J Mech Behav Biomed Mater. 2022;126:105046. doi:10.1016/j.jmbbm. 2021.105046
4.Hou Z, Bayly PV, Okamoto RJ. Shear wave speeds in nearly-incompressible fibrous materials with two fiber families. J Acoust Soc Am. 2021;149(2):1097-1106.
5.Hou Z., Okamoto RJ.,Bayly PV. Shear Wave Propagation and Estimation of Material Parameters in a Nonlinear, Fibrous Material, Journal of Biomechanical Engineering, 2020, 142(5): 051010-1-051010-10.