For Individuals
- Learning & Certification
- Specialist Tracks & Tools
Consulting & Enterprise
- Programmes & Solutions
- Diagnostics & Evidence
Insights
- Analysis & Research
  - Executive Reports In-depth whitepapers for decision-makers
  - Academic Research Peer-reviewed publications and frameworks
- Editorial & Dispatches
  - The C-Suite AI Memo Weekly executive strategy newsletter
  - News & Commentary Press, updates, and market notes
Events
About
Contact
LOGIN

Skip to content

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

Previous Lesson

Quiz: Regulatory Expectations for AI in Marketing Authorisations

Safe AI in Pharmaceuticals: Validation, Data Integrity and Regulated AI in Life Sciences
Regulatory Expectations for AI in Marketing Authorisations
Quiz: Regulatory Expectations for AI in Marketing Authorisations

Time limit: 0

Quiz Summary

0 of 5 Questions completed

Questions:

Information

You have already completed the quiz before. Hence you can not start it again.

Quiz is loading…

You must sign in or sign up to start the quiz.

You must first complete the following:

Results

Quiz complete. Results are being recorded.

Results

0 of 5 Questions answered correctly

Your time:

Time has elapsed

You have reached 0 of 0 point(s), (0)

Earned Point(s): 0 of 0, (0)
0 Essay(s) Pending (Possible Point(s): 0)

Categories

Not categorized 0%

Review
Answered
Correct
Incorrect

Question 1 of 5

1. Question

The Medicines and Healthcare products Regulatory Agency provides guidance on AI applications in clinical development and regulatory submissions.

The MHRA provides no guidance on AI in clinical settings
Correct Incorrect Correct answer

The MHRA provides guidance on AI applications in clinical development and regulatory submissions
Correct Incorrect Correct answer

The MHRA only regulates AI in post-authorisation activities
Correct Incorrect Correct answer

The MHRA's guidance is limited to clinical data management
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points
Question 2 of 5

2. Question

Marketing authorisation holders must provide evidence that AI algorithms used in clinical data analysis maintain consistent performance.

AI algorithms do not require performance validation
Correct Incorrect Correct answer

AI algorithms must be validated only at the start of clinical studies
Correct Incorrect Correct answer

Marketing authorisation holders must provide evidence that AI algorithms maintain consistent performance
Correct Incorrect Correct answer

The clinical data management plan is not required for AI systems
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points
Question 3 of 5

3. Question

The clinical data management plan should specify how AI systems will be monitored and maintained throughout the product lifecycle.

Monitoring procedures are not required for AI systems
Correct Incorrect Correct answer

The clinical data management plan must specify AI system monitoring and maintenance
Correct Incorrect Correct answer

Monitoring is only required during clinical trials
Correct Incorrect Correct answer

The clinical data management plan excludes AI system documentation
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points
Question 4 of 5

4. Question

The clinical study report must specify how AI tools contributed to clinical conclusions and whether these contributions were properly validated.

The clinical study report does not mention AI tools
Correct Incorrect Correct answer

The clinical study report must specify AI tool contributions and validation status
Correct Incorrect Correct answer

AI tool contributions are irrelevant to clinical conclusions
Correct Incorrect Correct answer

The clinical study report is not required for AI-enhanced clinical data
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points
Question 5 of 5

5. Question

The clinical data management team must understand AI system limitations and potential impacts on clinical interpretation.

The clinical data management team does not need to understand AI systems
Correct Incorrect Correct answer

The clinical data management team must understand AI system capabilities and limitations
Correct Incorrect Correct answer

The clinical data management team is not involved in AI implementation
Correct Incorrect Correct answer

The clinical data management team only manages clinical data, not AI systems
Correct Incorrect Correct answer

Correct / 1 Points

Incorrect / 1 Points

Login

Accessing this course requires a login. Please enter your credentials below!

Username or Email Address

Password

Remember Me

Continue with Facebook

Continue with Google

Lost Your Password?

Register

Don't have an account? Register one!

Register an Account

Keep building practical AI skills

Short, practical courses from Tesseract Academy, founded by Dr Stelios Kampakis, CStat.

Explore Individual Learning

© 2026 Tesseract Academy. All Rights Reserved.