In Vivo Lab Software
A no-code platform for designing, automating, and managing in vivo studies with data capture, collaboration, and analysis features.
Overview
The In Vivo Lab Software is a comprehensive system designed to streamline and enhance in vivo studies. It offers a no-code platform that allows scientific users to design, automate, deliver, and interpret their studies efficiently. This software integrates data collection, analysis, and sharing into a unified platform, fostering collaboration among scientists and researchers.
Key features include real-time tracking, customizable templates, and advanced analytics, which enable precision and efficiency in various study aspects such as pharmacokinetics and toxicology. The software supports the configuration of treatment groups, dosing schedules, and observations, managing the entire study process with alerts, calendar views, and easy data capture.
Users can graphically view cages and animals for streamlined workflow and access comprehensive profiles for each study animal, integrating measurements, samples, and alerts. Configurable alert thresholds for critical parameters like body weight loss ensure early identification of potential issues.
The platform simplifies laboratory tasks with configurable formulas, automatic calculations, and pre-populated data fields, allowing users to search, create tables, and view charts seamlessly. Continuous visibility into study progress and granular, science-aware search capabilities minimize time spent searching for information.
Features:
- In vivo study templates
- Configurable, no-code workflow
- Study scheduling and tracking
- Subject randomization
- Automated dosing calculations
- Built-in collaboration
- Intuitive observation recording
- In vivo charting and searchability
The software is cloud-based, requiring only a modern web browser for access, making it easy to implement even without an IT department. Sapio Sciences offers extensive support through forums, resource libraries, and direct assistance, ensuring users can meet their clinical objectives effectively.
