Next-Gen Pharmacovigilance With Artificial Intelligence

Advancing Drug Safety, Signal Detection, and Risk Management

What you'll learn

Understand the Fundamentals of AI and Its Impact on Society

Gain Insight into the Evolution of Clinical Research

Comprehend the Role of Pharmacovigilance in Drug Safety

Learn the Process of Pharmacovigilance and ADR Detection

Explore Signal Detection Methods in Pharmacovigilance

Utilize Argus Software for Advanced Pharmacovigilance Practices

Requirements

Basic knowledge of AI, data science, or pharmacovigilance is helpful but not required. No special tools are needed—just a laptop with internet access and a willingness to learn.

Description

In today’s fast-evolving pharmaceutical landscape, artificial intelligence is revolutionizing pharmacovigilance, making drug safety monitoring faster, smarter, and more efficient. This course explores the next generation of pharmacovigilance powered by AI, covering key concepts, technologies, and real-world applications.You will learn how AI-driven tools enhance adverse event detection, streamline data analysis, and improve regulatory compliance. Through practical examples and case studies, you’ll discover how machine learning, natural language processing, and automation are transforming drug safety. Additionally, you will explore AI's role in signal detection, risk assessment, and predictive analytics to foresee potential safety concerns before they escalate. You'll also gain insights into AI-driven automation of safety reporting and its impact on global regulatory frameworks.This course will provide a comprehensive understanding of AI’s capabilities, limitations, and ethical considerations in pharmacovigilance. You will explore the integration of AI with big data, cloud computing, and real-world evidence to optimize drug safety monitoring. Discussions on regulatory guidelines, industry trends, and future developments will prepare you for the evolving landscape of pharmacovigilance.By the end of this course, you will have the knowledge and skills to implement AI-driven solutions in drug safety processes. Whether you're a healthcare professional, regulatory expert, or data scientist, this course will equip you with cutting-edge expertise to stay ahead. With AI-driven pharmacovigilance, drug safety is becoming more proactive, efficient, and data-driven, ultimately improving patient outcomes and global public health.

Overview

Section 1: Course Preview

Lecture 1 Course Preview

Section 2: Topics to be covered

Lecture 2 Topics to be covered

Section 3: Course Introduction

Lecture 3 Course Introduction

Section 4: The Power of AI - How Machines Learn, Adapt and Transform

Lecture 4 The Power of AI - How Machines Learn, Adapt and Transform

Lecture 5 How AI is Impacting our Lives

Section 5: The Evolution of Clinical Research-From Early Trials to Modern Medicine

Lecture 6 The Evolution of Clinical Research-From Early Trials to Modern Medicine

Lecture 7 The Modern Era of Clinical Research

Section 6: The Role of Pharmacovigilance in Modern Medicine

Lecture 8 The Role of Pharmacovigilance in Modern Medicine

Lecture 9 Types of Adverse Drug Reactions (ADR)

Section 7: Process of Pharmacovigilance

Lecture 10 Process of Pharmacovigilance

Section 8: Basics of Signal Detection in Pharmacovigilance

Lecture 11 Basics of Signal Detection in Pharmacovigilance

Section 9: Advancements in Pharmacovigilance through Argus Software

Lecture 12 Advancements in Pharmacovigilance through Argus Software

This course is for pharmacovigilance professionals, healthcare experts, and AI enthusiasts looking to apply AI in drug safety. It also suits data scientists and regulatory professionals interested in AI-driven pharmacovigilance.