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Safe AI in Pharmaceuticals: Validation, Data Integrity and Regulated AI in Life Sciences

Where AI Is Used Across Discovery, Trials, Manufacturing and Safety

Quiz: Where AI Is Used Across Discovery, Trials, Manufacturing and Safety

GxP Boundaries: Which AI Uses Are Regulated

Quiz: GxP Boundaries: Which AI Uses Are Regulated

Computerised System Validation Applied to Machine Learning

Quiz: Computerised System Validation Applied to Machine Learning

Data Integrity Principles and Audit Trails for AI Systems

Quiz: Data Integrity Principles and Audit Trails for AI Systems

Risk Based Validation and Supplier Assessment

Quiz: Risk Based Validation and Supplier Assessment

AI in Clinical Trial Design, Recruitment and Monitoring

Quiz: AI in Clinical Trial Design, Recruitment and Monitoring

Regulatory Expectations for AI in Marketing Authorisations

Quiz: Regulatory Expectations for AI in Marketing Authorisations

Pharmacovigilance: Signal Detection and Case Processing With AI

Quiz: Pharmacovigilance: Signal Detection and Case Processing With AI

Manufacturing Process Control and Batch Release Decisions

Quiz: Manufacturing Process Control and Batch Release Decisions

1 of 2

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Quiz: AI in Clinical Trial Design, Recruitment and Monitoring

Safe AI in Pharmaceuticals: Validation, Data Integrity and Regulated AI in Life Sciences
AI in Clinical Trial Design, Recruitment and Monitoring
Quiz: AI in Clinical Trial Design, Recruitment and Monitoring

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Question 1 of 5

1. Question

AI systems can assist clinical trial design by recommending candidate sites based on factors such as geographic location and patient availability.

True
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False
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Only for Phase I trials
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Only for Phase III trials
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Question 2 of 5

2. Question

What is one benefit of using AI for clinical trial protocols according to the lesson?

Reducing the number of clinical research organisations involved
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Improving endpoint selection and statistical analysis plans
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Eliminating the need for clinical data management
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Decreasing the required sample size for all studies
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Question 3 of 5

3. Question

How do AI tools help with patient recruitment in clinical trials?

By manually reviewing patient records one by one
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By predicting patient availability at clinical sites
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By removing all exclusion criteria from protocols
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By contacting patients through traditional media channels
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Question 4 of 5

4. Question

Which of the following is a way AI enhances clinical trial monitoring?

By reducing the number of adverse event reports
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By providing real-time data analysis for safety surveillance
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By eliminating clinical data management entirely
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By preventing clinical research associates from visiting sites
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Question 5 of 5

5. Question

What must companies ensure when implementing AI in clinical trial monitoring?

That AI tools are only used for Phase II trials
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That AI systems maintain data integrity and provide reliable results
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That clinical research associates are no longer needed
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That clinical data is stored in paper format
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