Clinical research is undergoing a paradigm shift. Traditional clinical trials—often slow, expensive, and inefficient—are being transformed by Artificial Intelligence (AI) and Data Science.

This course explores how AI-driven analytics, machine learning, and real-world data are reshaping the entire clinical research lifecycle, from early drug discovery and patient recruitment to trial optimisation, safety monitoring, and regulatory decision-making.

Participants will gain practical, conceptual, and strategic understanding of how AI is applied in modern clinical trials, including decentralized and observational studies, while ensuring ethics, patient safety, and regulatory compliance.

This is a design-oriented, future-ready course—ideal for professionals and learners who want to understand how clinical research actually works today and where it is headed.

Who This Course Is For

UG | PG | PhD | Pharmacy | Biotechnology | Life Sciences | Clinical Research | Healthcare Professionals | Data Science Enthusiasts

Course Outcomes

By the end of this course, participants will be able to:

Understand AI-driven clinical research workflows

Identify where AI adds value vs where human oversight is essential

Appreciate regulatory expectations for AI use in trials

Understand data-driven trial design, recruitment, and safety

Map career opportunities at the intersection of AI & clinical research

Course Features

🎥 Video Lectures
📚 Learning Materials
🧠 Beginner Friendly
🎓 Certificate of Completion

Swalife Academy
Where Innovation Meets Education