Cite
Identification of chronic non-atrophic gastritis and intestinal metaplasia stages in the Correa's cascade through machine learning analyses of SERS spectral signature of non-invasively-collected human gastric fluid samples.
MLA
Si, Yu-Ting, et al. “Identification of Chronic Non-Atrophic Gastritis and Intestinal Metaplasia Stages in the Correa’s Cascade through Machine Learning Analyses of SERS Spectral Signature of Non-Invasively-Collected Human Gastric Fluid Samples.” Biosensors & Bioelectronics, vol. 262, Oct. 2024, p. 116530. EBSCOhost, https://doi.org/10.1016/j.bios.2024.116530.
APA
Si, Y.-T., Xiong, X.-S., Wang, J.-T., Yuan, Q., Li, Y.-T., Tang, J.-W., Li, Y.-N., Zhang, X.-Y., Li, Z.-K., Lai, J.-X., Umar, Z., Yang, W.-X., Li, F., Wang, L., & Gu, B. (2024). Identification of chronic non-atrophic gastritis and intestinal metaplasia stages in the Correa’s cascade through machine learning analyses of SERS spectral signature of non-invasively-collected human gastric fluid samples. Biosensors & Bioelectronics, 262, 116530. https://doi.org/10.1016/j.bios.2024.116530
Chicago
Si, Yu-Ting, Xue-Song Xiong, Jin-Ting Wang, Quan Yuan, Yu-Ting Li, Jia-Wei Tang, Yong-Nian Li, et al. 2024. “Identification of Chronic Non-Atrophic Gastritis and Intestinal Metaplasia Stages in the Correa’s Cascade through Machine Learning Analyses of SERS Spectral Signature of Non-Invasively-Collected Human Gastric Fluid Samples.” Biosensors & Bioelectronics 262 (October): 116530. doi:10.1016/j.bios.2024.116530.