The Zurich based startup Vivior AG is developing an eye wearable device that uses machine-learning algorithms to track patient’s daily activities. The collected data helps opticians to offer personalised solutions. The startup has raised funds to finalise their clinical studies.
Cataract, the clouding of the lens in the eye, affects over 50 million people per year worldwide. The standard treatment consists of implanting an artificial intraocular lens (IOL). Ophthalmic surgeons currently rely on subjective patient interviews when selecting the power and type of the IOL, which can lead to unsatisfactory patient outcomes if this choice is not accurate or appropriate.
Established in 2017, Vivior is developing a new wearable device that collects daily activity data from patients, processes it in the cloud and analyses patient’s lifestyle patterns using machine-learning algorithms. This combination of data enables surgeons to offer optimal personalized solutions to their patients leading to active patient engagement and increased patient satisfaction.
Vance Thompson MD, Professor of Ophthalmology at the Sanford School of Medicine, Sioux Falls, South Dakota, USA, says, “I want to use the system every day to help educate patients on how they use their vision. Understanding the exact distances and how much time spent at each distance will help them choose the best premium implant for their life long vision decision.”
The Zurich based startup recently closed an investment round with private investors from Europe and the US. The raised multiple million funds will be used to finalize the ongoing clinical study to assess the usability of their system and measure market acceptance. Based on these results, Vivior will register the system in Europe and the US to make it available to clinics, surgeons and patients.
(Press release)
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