Kaikai Chang (4719672)

No ORCID on file · 4 papers in corpus · active 2023

Study types

  • dataset 4

Condition tags

  • endometriosis 4
dataset 2023
·doi:10.3389/fimmu.2023.1133672.s001

BackgroundEndometriosis (EMs) is a chronic inflammatory condition that is highly heterogeneous. Current clinical staging fails to accurately predict drug responses and prognosis. In this study, we aimed to reveal the heterogeneity of ectopi…

dataset 2023
·doi:10.3389/fimmu.2023.1133672.s002

BackgroundEndometriosis (EMs) is a chronic inflammatory condition that is highly heterogeneous. Current clinical staging fails to accurately predict drug responses and prognosis. In this study, we aimed to reveal the heterogeneity of ectopi…

dataset 2023
·doi:10.3389/fimmu.2023.1133672.s003

BackgroundEndometriosis (EMs) is a chronic inflammatory condition that is highly heterogeneous. Current clinical staging fails to accurately predict drug responses and prognosis. In this study, we aimed to reveal the heterogeneity of ectopi…

dataset 2023
·doi:10.3389/fimmu.2023.1133672.s004

BackgroundEndometriosis (EMs) is a chronic inflammatory condition that is highly heterogeneous. Current clinical staging fails to accurately predict drug responses and prognosis. In this study, we aimed to reveal the heterogeneity of ectopi…