Nusinovici Simon

Majithia Shivani, Chong Crystal Chun Yuen, Chee Miao Li, Yu Marco, Soh Zhi Da, Thakur Sahil et al.

This study found chronic kidney disease is consistently associated with thinning of retinal nerve and ganglion cell layers across diverse populations, suggesting kidney health impacts ocular nerve integrity.

Qian Chaoxu, Nusinovici Simon, Thakur Sahil, Soh Zhi Da, Majithia Shivani, Chee Miao Li et al.

Machine learning identified six blood metabolites (e.g., albumin, glucose, lactate) linked to intraocular pressure in a multiethnic study, offering insights into IOP regulation and potential glaucoma biomarkers.

Najjar Raymond P, Rukmini A V, Finkelstein Maxwell T, Nusinovici Simon, Mani Baskaran, Nongpiur Monisha Esther et al.

Handheld chromatic pupillometry accurately and rapidly detects functional loss in glaucoma across all severities, offering a promising objective screening and diagnostic tool.

Nusinovici Simon, Li Hengtong, Thakur Sahil, Baskaran Mani, Tham Yih-Chung, Zhou Lei et al.

This study found higher HDL3 cholesterol is causally linked to a decreased risk of primary open-angle glaucoma, suggesting cholesterol transport dysregulation may be a therapeutic target.

Nusinovici Simon, Zhang Liang, Chai Xiaoran, Zhou Lei, Tham Yih Chung, Vasseneix Caroline et al.

Machine learning identified modifiable and non-modifiable risk factors for major eye diseases. Key finding: POAG had the highest modifiable risk factor contribution (35%), with IOP and BMI being relevant.

Goh Jocelyn Hui Lin, Lim Zhi Wei, Fang Xiaoling, Anees Ayesha, Nusinovici Simon, Rim Tyler Hyungtaek et al.

AI for cataract detection and IOL power calculation shows promise, but needs more robust data and validation for clinical deployment and cost-effectiveness.