The association between estimated glucose disposal rate and self-reported diabetic retinopathy: evidence from two independent cohorts and machine learning

• by Chaofeng Yuan, Yue Hao, Jianghui Wang, Chuanxi Wang, Zhengxuan Jiang

• June 26, 2026

AACE 2026: Will AI replace endocrinologists?

The same technology drawing patients away from clinic may also improve the patient-physician relationship.

• by Jared Bilski

• April 22, 2026

• 3 min

DME AWARE Study Defines Key Needs

Presenting results from the DME AWARE Delphi Study at the Association for Research in Vision and Ophthalmology (ARVO) meeting in Denver, Baruch D. Kuppermann, MD, PhD, director of the Gavin Herbert Eye Institute at the University of California, Irvine, described a set of consensus findings that point to unmet needs across the continuum of DME management, with particular emphasis on early intervention and noninvasive treatment options (Figure 1).

• by Jim Gallagher, senior managing editor

• May 1, 2026

• 5 min

A clinically interpretable machine learning model for early detection of diabetic retinopathy in multiple community health centers

• by Juncheng Tong, Aifa Tang, Lifang Liu, Luyuan Zhang, Hainan Wang, Mengyuan Qu, Bing Liu

• May 4, 2026