AI in Clinical Trials Hub

Artificial intelligence (AI) is impacting every aspect of the pharmaceutical industry: the clinical research itself, patient recruitment, trial disclosure, drug approval, marketing. Here you’ll find information on its many applications, pharmaceutical trends, and advances made by Citeline and the industry at large.

AI & Clinical Planning
With the proper guardrails, AI can create efficiencies throughout the drug development lifecycle
AI assistant in biotechnology science experiment
JUL 15, 2024
Article
Clinical
The Promise and Peril of AI in Clinical Trials
Many smaller organizations have not yet implemented a specialized clinical trial disclosure system. Robust transparency, and perhaps even just compliance with multiple regulators, requires commitment from the C-suite for companies of all sizes.
Event banner for the NLSDays 2024
OCT 30, 2024
Video
Clinical
Nordic Life Science Days – Super Session on AI
Claire Riches, Vice President of Clinical for Citeline, participated in a panel discussion on artificial intelligence at Nordic Life Science Days.
AI
OCT 11, 2024
Whitepaper
Clinical
AI in Pharma: Benefits, Risks, and the Road Ahead
AI is being used to streamline and accelerate each step of the drug development process from research through approval and marketing.
Synthetic Data Generation
SEP 05, 2024
Article
Clinical
The Real Value of Synthetic Data in Clinical Research: 3 Use Cases
Synthetic data, a form of generative AI, focuses on the creation of new content. See three use cases for using synthetic data in clinical research.
CNS Summit-resource-card-thumbnail
NOV 09, 2023
Video
Clinical
The Cutting Edge of Pharma: AI and RWD
Thought leaders from Norstella and Citeline shared their expert insights on artificial intelligence and real-world data at the CNS Summit.
AI Trends
Norstella, Citeline’s parent company, conducted an industry survey to gauge the current state of AI and implications for the future
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NOV 13, 2024
Product Information
Clinical
The Current & Future Impact of AI on Pharmaceutical R&D
See highlights from Norstella’s State of the Industry AI survey.
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NOV 13, 2024
Article
Clinical
Assessing Current AI Trends in Drug Development: Adoption and Transformation (Part 1)
Norstella surveyed 125 senior decision-makers in the life sciences industry on their perceptions and expectations of AI to understand current AI adoption trends in addition to the future impact of AI on pharmaceutical R&D.
Regulatory
AI-related regulatory updates from the US, Europe, and around the globe
Preview cover for the Intelligent Compliance: Transforming Clinical Trial Disclosure with AI white paper
NOV 06, 2024
Whitepaper
薬事規制関連支援サービス
Intelligent Compliance: Transforming Clinical Trial Disclosure with AI
AI can help sponsors streamline clinical trial disclosure processes and meet the growing demands for timely and accessible information.
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OCT 30, 2024
Article
薬事規制関連支援サービス
Artificial Intelligence Regulation
Drug sponsors strive to make the best use of artificial intelligence, but doing so requires understanding where health authorities are drawing the lines. Download a sample of our coverage from the US, Europe, and Asia of the emerging framework for AI regulation.
How Citeline Helps
See how Citeline’s AI-enabled technology can help your organization work smarter
Citeline harnessing the power of AI to enhance our Clinical suite.
AUG 13, 2024
Press Release
Clinical
In a First for Pharma, Citeline SmartSolutions Take AI to New Levels, Optimizing Clinical Trial Planning and Site Selection
Introducing an industry-first, Citeline SmartSolutions is an integrated suite of AI-enabled technology products that optimize and accelerate clinical trial planning and site selection.
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OCT 11, 2024
Product Information
Clinical
Citeline SmartSolutions
Learn more about the smart approach to protocol optimization and study start-up. Download the flyer today.
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NOV 04, 2024
Use Case
Clinical
Optimizing a Breast Cancer Clinical Trial with Data-Driven Solutions
A global pharmaceutical company leverages Citeline solutions to provide instant recommendations on key trial parameters — harnessing the gold-standard clinical trial data of Trialtrove and Sitetrove.
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