Univa is developing digital tools that utilize data analytics and machine learning to enhance the management, monitoring, and treatment of eating disorders, addressing the critical shortage of accessible and effective care. By collaborating with healthcare teams, Univa aims to improve patient outcomes and reduce the high morbidity and mortality rates associated with these conditions.
Funding
$1.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Eating disorders have a high mortality rate, yet a significant percentage of individuals do not receive effective treatment due to overburdened clinicians, scarcity of therapeutic competencies, and overall poor access to high-quality care. This is further exacerbated by a surge in hospital admissions related to eating disorders.
Solution
Univa is developing digital tools leveraging data analytics and machine learning to improve the management, monitoring, and treatment of eating disorders. By collaborating with individuals with eating disorders, carers, and multidisciplinary clinical teams, Univa aims to provide earlier access to high-quality care across the care continuum. Their initial eating disorder care tools are scheduled for evaluation in clinical studies starting in Q3 2024.
Target Audience
The primary users are people with eating disorders, their carers, and multidisciplinary clinical teams involved in their care.
Features
- Data analytics to enhance the management of eating disorders.
- Machine learning to improve the monitoring and treatment of eating disorders.
- Digital tools designed for use across the eating disorder care continuum.