Leveraging AI in Clinical Trials to Unlock Data Insights

Signals Clinical streamlines clinical data management by facilitating artificial intelligence in clinical trials

Artificial Intelligence (AI) and Machine Learning (ML) have the power to transform the management and success of clinical trials and development. The use of AI promises to automate data capture, cleaning, analysis and data mapping, optimize human review of data and decision making, and improve clinical trial efficiency and execution, all while staying securely within the Revvity Signals platform.

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Optimize Data Mapping with AI and Machine Learning

Clinical data management, enhanced with AI/ML, streamlines data mapping. Revvity Signals’ automated AI engine leverages machine learning to automatically map trial data to the study data tabulation model (SDTM). This lowers error rates, providing near real-time access to clinical trial data.

Leverage Existing Manually Created Maps. Using ML, the auto mapper recognizes forms and perceived structures to recommend mapping and transformation of clinical data, saving time.
Keeping Humans in the Loop. Once the auto mapping feature transforms the data and displays the predicted schema, human reviewers can manually adjust the mappings as needed.

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Using LLMs to Develop Data Insights

Revvity Signals users can access Spotfire® CoPilot, a natural language extension, to leverage large language models (LLMs) to speed the querying of data, then visualize it to uncover trends that aren’t apparent or previously detected.

Retrieval Augmented Generation. This allows the use of internal data as context to improve the effectiveness of LLMs to answer specific questions and unlock fresh insights using real language descriptions.
Easy-to-Interpret Data Visualizations. Dynamic data visualizations can reveal trends, outliers, and other research highlights. Simple queries help interrogate the data at detail for better informed clinical trial management.

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Improving Clinical Trial Safety with AI Support

Signals Clinical, aided by the AI capabilities of Spotfire CoPilot, allows trial managers to identify and address adverse events (AEs), in near-real time, to ensure a project stays on track and on time.

Data Harmonization Across All Trial Sites. Leveraging AI in clinical trials fosters accurate data capture, by leveraging a single solution for data mapping, standardization, and aggregation that previously was not possible when relying on multiple systems.

Collaborative Response to AEs. AI supports more efficient workflows and management of role-based access to clinical trial data. It enables the secure sharing of data with team members regardless of location to swiftly manage AEs discovered from concise visualizations of data across an entire patient cohort.

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Artificial Intelligence and Signals

Revvity Signals’ human-first approach to AI brings efficiencies to scientific discovery, unlocks insights, and accelerates innovation.

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Related Events & Webinars

Resources

Revvity Signals is leveraging AI to empower scientist's. Learn more about how Scientists are gaining new efficiencies, unlocking insights and accelerating innovation with the transformative power of AI.

Our solutions aren’t the only thing empowering scientists. Find additional resources here to learn how AI-enhanced software is making a difference in clinical trials management – optimizing data capture, cleaning, and analysis; increasing insight with visualizations; and encouraging collaboration.

White Paper

Powering More Efficient Clinical Development with AI and ML

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White Paper

Machine Learning to Drive Clinical Trial Efficiency via Adverse Event Data and Predictions

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Webinar

Digging Through the Hype Can AIML Assist Clinical Development

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Demo

Signals Clinical Interactive Demo - Revvity Signals

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