Vium develops digital biomarkers that utilize advanced data analytics to enhance preclinical research methodologies and improve animal welfare standards. By providing precise, real-time insights into animal health, Vium addresses the inefficiencies and ethical concerns associated with traditional research practices.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional preclinical research methodologies often rely on subjective observations and infrequent manual data collection, leading to inefficiencies and potential inaccuracies in assessing animal health and welfare. These methods can be labor-intensive, costly, and may not capture subtle changes in animal behavior or physiology that could indicate early signs of disease or distress.
Solution
Vium develops digital biomarkers and advanced data analytics tools to provide precise, real-time insights into animal health during preclinical research. Their technology continuously monitors various parameters, such as activity levels, sleep patterns, and vital signs, using non-invasive sensors and automated data collection systems. By applying machine learning algorithms to these data streams, Vium identifies subtle behavioral and physiological changes that may be indicative of a specific condition or treatment effect. This enables researchers to gain a more comprehensive and objective understanding of animal health, improve the efficiency of preclinical studies, and enhance animal welfare standards.
Target Audience
The primary customers are pharmaceutical companies, contract research organizations (CROs), and academic research institutions conducting preclinical studies involving laboratory animals.
Features
- Continuous, non-invasive monitoring of animal activity, sleep, and vital signs using sensor technology
- Automated data collection and real-time data streaming to a secure cloud platform
- Machine learning algorithms for identifying subtle behavioral and physiological changes
- Digital biomarkers that provide objective, quantitative measures of animal health
- Web-based dashboard for visualizing data, tracking trends, and generating reports
- Integration with existing laboratory information management systems (LIMS)