About the Course:
This webinar will highlight advancements and applications to date and a prediction of the future. You don’t want to miss this opportunity to learn how you can embrace this technology and lead the field, gaining a competitive advantage.
- The evolution of AI/ML: how we got to where we are today.
- How life science organizations can leverage AI/ML and comply with regulatory requirements (GxP).
- The impact of AI/ML on clinical trials and decentralized clinical trials (DCT), in the GCP domain.
- How lab systems can harness the power of AI/ML for analytical applications (GLP) and laboratory automation
- Applying AI/ML to help organizations achieve Pharma 4.0 (Industry 4.0) objectives.
- Concerns over the misuse of AI/ML along with ethical considerations
- The future of AI/ML in life science
Course Objective:
- Gain a general understanding of AI/ML.
- Understand DCT and how it applies to clinical trials.
- Understand Pharma 4.0 and the 4th Industrial Revolution (Industry 4.0).
- Learn regulatory and quality concerns with the use/misuse of AI/ML.
- See how you can take steps to pursue AI/ML within your organization.
- Attain insights on the promising future of AI/ML.
Who is the Target Audience?
- GxP professionals in life science.
- Students of technology and life sciences.
- Executives who want to gain a better understanding to direct their organizations.
Basic Knowledge:
- Life science in general.
- Basic understanding of either GLP, GCP, or GMP (collectively GxP).
Curriculum
Total Duration: 1 Hour 30 Minutes
What are the GxPs: a brief overview
What is Artificial Intelligence
What is Machine Learning
Algorithms
Data as an Asset
What is Pharma 4.0 (Industry 4.0)
What are the ethical concerns of the use of AI/ML
How can organizations deploy AI/ML technologies in a compliant manner
A brief overview of how to validate or qualify AI/ML systems and technologies