Application of machine learning techniques in glaucoma detection and control

According to [1], 68.56 million people worldwide are affected by POAG (Primary Open-Angle Glaucoma). The project, carried out in cooperation with PSNC and the Wasilewicz Eye Clinic, is devoted to the diagnosis of glaucoma that can be caused by increased intraocular pressure (IOP).
Unlike diagnostic methods based on optical coherence tomography (OCT), the project is assuming analysis of Sensimed Triggerfish contact lens sensor data supplemented with additional clinical measurements. The aim of the project is to develop ML models for diagnosing the disease and to implement tools supporting the work of ophthalmologists.

[1] Scuteri, D. e. a. Effect of genotype on individual response to the pharmacological treatment of glaucoma: a systematic review and meta-analysis, 2023