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By: Gil Bleich Background Preparing a regulatory submission for a vaccine or a drug takes as much as 5 to 8 months. Clinical data validation of SAS outputs is a time-consuming, complex and heavily manual part of the process. All documents and tables within a submission need to be validated and support the right conclusion […]
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The Power of Automation in Clinical Data Validation
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Using Automation in COVID-19 Clinical Data Validation
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Results of Survey into Statistical Programming Practices
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How ML-driven Automation Technology Can Overcome the limitation of Double Programming
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A Comprehensive Approach to the Output Validation Process. New Uses for Machine Learning & Artificial Intelligence
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LoT/ToC validation, new checks and table visualization improvement
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How Automation Can Play a Key Part in Accelerating Drug Approval
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Table mining is the core of our capabilities ensuring full validation of statistical outputs
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During the Q4 of 2021, Beaconcure’s AI-driven platform, Verify, had three main upgrades: the addition of the Resolution Feature, the possibility of checking and comparing from a Mock shell, and the Highlight Feature. To understand better what each feature does and their benefits, read here.
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The limitation of the current process and the new approach
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Article written by Yoran Bar, CEO and Co-Founder or Beaconcure about the Benefits of Automating the Statistical Analysis Process for Clinical Trials
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While an “ideal” Statistical Computing Environment (SCE) is highly sought for in the pharmaceutical industry, one is yet to be developed. Hoping to nudge tech business leaders to develop such a platform, experts from top global pharma companies have come together and compiled a list of their recommendations for the requirements of an ideal SCE. […]
