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Wavefront-guided LASIK for Monovision Treatment of Myopic Subjects With Presbyopia
This study will be a 12-month, prospective, multicenter, open-label, non-comparative, non-randomized clinical investigation conducted at 8 to 14 sites. A total of 383 subjects will be enrolled to achieve approximately 268 treated subjects, resulting in at least 241 evaluable subjects at the point of refractive stability. After signing the informed …
Office-Based Superior Laryngeal Nerve Block for Treatment of Neurogenic Cough
The purpose of this study is to evaluate if office-based injection of a local anesthetic/steroid combination at the area of one superior laryngeal nerve can decrease cough frequency and alleviate symptoms of chronic cough in patients with neurogenic cough.
Mindfulness-Based ADHD Treatment for Children: a Feasibility Study
Attention-Deficit/Hyperactivity Disorder (ADHD) affects 11% of children and leads to adverse outcomes. Medications, while often effective in reducing certain ADHD symptoms, have many disadvantages, including misuse and side effects. Behavioral interventions do not have these adverse effects, but they are not as effective. Mindfulness is a candidate intervention for ADHD …
A Research Study Comparing How Well Different Doses of the Medicine NN0519-0130 Help People With Excess Body Weight Lose Weight
This study will look at how a new medicine called NNC0519-0130 helps people with excess body weight lose weight. The study will test up to 6 different doses of NNC0519-0130. Participants will take 1-2 injections once a week. The study medicine will be injected under skin with a thin needle …
A Study of Avutometinib (VS-6766) + Defactinib (VS-6063) in Recurrent Low-Grade Serous Ovarian Cancer
This study will assess the safety and efficacy of avutometinib (VS-6766) in combination with defactinib versus Investigator's choice of treatments (ICT) in subjects with recurrent LGSOC who have progressed on a prior platinum-based therapy.
Using Responsible Artificial Intelligence (AI) to Predict Online Therapy Outcome and Engagement
This study is to develop AI-based models for the personalised prediction of treatment engagement and treatment outcomes in patients engaging in digital psychotherapy. A large, real-world dataset of patients in a digital psychotherapy program will be used to train AI algorithms. Responsible AI algorithms will be developed by describing, accounting …
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