AI & Machine Learning in Drug Development

About Course

The AI & Machine Learning in Drug Development course provides a clear roadmap for leveraging AI and ML to revolutionize the pharmaceutical pipeline.

This course clearly outlines the scope of AI and machine learning for integrating cutting-edge technologies into early-stage discovery, clinical testing, and beyond.

This course is designed to help you navigate the evolving regulatory frameworks for AI-driven drug development.

Who Should Enroll:

Data Scientists
Healthcare Professionals
Pharmaceutical Researchers

Course Format:

Self-paced online modules
Practical knowledge
Lifetime access
Quizzes & certification upon completion

Course Content

Module I

Introduction to AI in Pharmaceutical Industry
Introduction to Machine Learning and Deep Learning
Guiding Principles of Good AI Practice in Drug Development
Artificial Intelligence and Machine Learning in Drug Development

42:05
Pre Assessment-1

Module II

Module III

Final Assessment

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About Course

What Will You Learn?

Course Content

Module I

Introduction to AI in Pharmaceutical Industry

Introduction to Machine Learning and Deep Learning

Guiding Principles of Good AI Practice in Drug Development

Artificial Intelligence and Machine Learning in Drug Development

Pre Assessment-1

Module II

Applications of ML in Drug Discovery: QSAR and ADME Prediction

Applications of ML in Drug Discovery: Compound Screening and Identification

Applications of DL in Drug Discovery: Medical Imaging

Applications of DL in Drug Discovery: Sequence Analysis

Artificial Intelligence (AI) & Machine Learning (ML) in MIDD

Pre Assessment-2

Module III

Model Implementation Biases

AI Use in the Drug Product Life Cycle

Regulatory Approval for Using AI Models in New Drug Development

Responsive Regulation of Artificial Intelligence in Drug Development

Pre Assessment-3

Final Assessment

Final Assessment

Earn a certificate

About Course

What Will You Learn?

Course Content

Module I

Introduction to AI in Pharmaceutical Industry

Introduction to Machine Learning and Deep Learning

Guiding Principles of Good AI Practice in Drug Development

Artificial Intelligence and Machine Learning in Drug Development

Pre Assessment-1

Module II

Applications of ML in Drug Discovery: QSAR and ADME Prediction

Applications of ML in Drug Discovery: Compound Screening and Identification

Applications of DL in Drug Discovery: Medical Imaging

Applications of DL in Drug Discovery: Sequence Analysis

Artificial Intelligence (AI) & Machine Learning (ML) in MIDD

Pre Assessment-2

Module III

Model Implementation Biases

AI Use in the Drug Product Life Cycle

Regulatory Approval for Using AI Models in New Drug Development

Responsive Regulation of Artificial Intelligence in Drug Development

Pre Assessment-3

Final Assessment

Final Assessment

Earn a certificate

Student Ratings & Reviews