Signals Clinical
As clinical trials generate growing volumes of complex data, turning insights into action is challenging. Signals Clinical, built on the Spotfire® analytics platform and enhanced with AI-powered analysis, helps clinical data review teams gain timely, governed insights to improve data quality, oversight, and patient safety.
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Revvity Signals Software offers one of the most comprehensive portfolios of scientific software in the world, supporting data-driven decision-making across Pharma and Biotech.
As clinical trials grow in scale and complexity, the demands placed on clinical data managers and clinical data review teams continue to increase. Large volumes of data from multiple sources must be reviewed quickly, consistently, and with confidence – while maintaining quality, oversight, and patient safety. Signals Clinical, built on the Spotfire® analytics platform and enhanced with an AI-powered agent for custom listing generation, is designed to support these clinical data review workflows. Signals Clinical helps teams rapidly create and adapt study-specific review logic and analyses, reducing manual effort while preserving governance and traceability. The platform delivers near real-time insights that support clinical data review, medical review, risk-based monitoring, clinical operations, and pharmacovigilance.
Revvity Signals offers a broad, powerful range of scientific software solutions.
Unlock the power of clinical data science with Signals Clinical
Clinical trials have become far more complex, and it is proving increasingly difficult for data‑management methods to avoid fragmentation and the delays, inconsistencies, and manual burden that come with it.
Learn how sponsors and CROs are able to overcome this challenge by unifying clinical data, applying governed AI, and enabling faster, more transparent data review. Discover how Signals Clinical™ helps teams reduce manual workflows, strengthen oversight traceability, and generate analysis-ready insights across the clinical trial lifecycle.
The importance of trustworthy AI in clinical trials
In this SelectScience interview, discover why AI in clinical data management must prioritize transparency, traceability, and reproducibility to earn trust in regulated environments
