Transforming Life Sciences: AI/ML for Compliance & Asset Management

In his webinar course, attendees will gain insight on recent advancements on Artificial Intelligence and Machine Learning (AI/ML).

Artificial Intelligence

1 Hours

Description

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 Objectives

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.

Target Audience

GxP professionals in life science.

Students of technology and life sciences.

Executives that want to gain a better understanding to direct their organizations.

Basic Understanding

Life science in general.

Basic understanding of either GLP, GCP, or GMP (collectively GxP).

Course Content

No sessions available.

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Transforming Life Sciences: AI/ML for Compliance & Asset Management

Session 1: What are the GxPs: a brief overview

No lectures available

Session 2: What is Artificial Intelligence

No lectures available

Session 3: What is Machine Learning

No lectures available

Session 4: Algorithms

No lectures available

Session 5: Data as an Asset

No lectures available

Session 6: What is Pharma 4.0 (Industry 4.0)

No lectures available

Session 7: What are the ethical concerns of the use of AI/ML

No lectures available

Session 8: How can organizations deploy AI/ML technologies in a compliant manner

No lectures available

Session 9: A brief overview on how to validate or qualify AI/ML systems and technologies

No lectures available

Coupons

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