Treatment Trials

5 Clinical Trials for Various Conditions

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TERMINATED
Neurolens Convergence Insufficiency Study
Description

To understand the benefits of the neurolens Measurement Device and neurolens treatment as it pertains to treating symptoms related to Convergence Insufficiency. It is a Prospective randomized double masked two arm performed on a minimum of 100 to a maximum of 150 subjects identified as symptomatic (CISS questionnaire score equal to or greater than 16) done across 3-10 clinical sites. There are two subgroups: a minimum of 50 in each subgroup(subgroup 1: pre-presbyopic (18-40 years); subgroup 2: presbyopic subjects(41-60 years).

COMPLETED
Neurolens Headache Study
Description

To understand the benefits of the neurolens Measurement Device and neurolens treatment as it pertains to treating symptoms related to Chronic Headaches. It is a Prospective randomized double masked two arm performed on a minimum of 200 to a maximum of 300 subjects identified as symptomatic (HIT-6 questionnaire score equal to or greater than 56) done across 3-15 clinical sites. There are two subgroups: a minimum of 100 in each subgroup (subgroup 1: pre-presbyopic (18-40 years); subgroup 2: presbyopic subjects (41-60 years).

COMPLETED
The Effects of Blackcurrant Supplementation on Eye Health
Description

The purpose of this study is to evaluate the potential for supplementation with black currant to support eye health among otherwise healthy adult women who spend 6+ hours per day using digital screens.

COMPLETED
Computer Screen Properties Study
Description

The purpose of this study is to identify how various popular methods of changing computer screen settings affect dry eye symptoms (eye pain, grittiness, tearing, burning, etc.). Specifically, this study will examine if there are differences in effects of blue light blocking (F.lux app or night shift) versus reducing screen brightness on the symptoms of dry eye.

RECRUITING
Artificial Intelligence-based Video Analysis to Detect Infantile Spasms
Description

Infantile spasms are a type of seizure linked to developmental issues. Unfortunately, they are often misdiagnosed, causing delays in treatment. The purpose of this study is to develop a computer program that can reliably differentiate infantile spasms from similar, yet benign movements in videos. This computer program will learn from videos taken by parents of study participants. Quickly recognizing and treating infantile spasms is crucial for ensuring the best developmental outcomes.