[Ocuelar] Smart eye-drop bottle to monitor medication habits of glaucoma patients

Team: Kian Talaei (IEOR), Ryan Zolyomi (ME), Fang-Jhen Su (BIOE), Tianyi Xing (IEOR)

Advisors: Scott Lee (UC Berkeley School of Public Health), Taiki Nishihara (Ocuelar), Tarek Zohdi (ME)

More than 75 million people worldwide suffer from glaucoma–the leading cause of irreversible blindness. The majority of these patients lack a proper and consistent medication routine, a concept referred to as poor medication adherence. The team is developing a smart device to track patients’ eye drop medication adherence. Our smart eye drop bottle incorporates multiple on-board sensors paired with an algorithm to actively monitor timing of medication administration. The data is collected via an integrated patient-physician smartphone application. Accurate tracking of medication adherence will improve physician treatment decisions and patient quality of life.

Our groundbreaking technology is a step closer to solving poor medication adherence seen among glaucoma patients by making the eye drop administration tracking seamless.

Our algorithm can predict administration of medicated eye drops with 80% accuracy.