Umazume Kazuhiko

Nezu Naoya, Usui Yoshihiko, Saito Akira, Shimizu Hiroyuki, Asakage Masaki, Yamakawa Naoyuki et al.

Machine learning, specifically Random Forest, accurately predicted several intraocular diseases like lymphoma and endophthalmitis using aqueous humor immune mediators, potentially aiding future diagnosis.

Usui Yoshihiko, Tsubota Kinya, Agawa Tsuyoshi, Ueda Shunichiro, Umazume Kazuhiko, Okunuki Yoko et al.

Aqueous humor levels of angiogenin, IL-8, and MCP-1 were significantly higher in malignant uveal melanoma. These mediators may help differentiate malignant from benign intraocular tumors, aiding diagnosis and management.

Umazume Kazuhiko, Usui Yoshihiko, Wakabayashi Yoshihiro, Okunuki Yoko, Kezuka Takeshi, Goto Hiroshi

This study found elevated soluble CD14 and inflammatory cytokines in DME eyes, correlating with VEGF and worse visual acuity, suggesting sCD14 is a key inflammatory driver in DME.