The Leader in Quality Life Science Training

Generative AI in Drug Discovery & Development: Navigating the New Frontier

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Course Director

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Course Fee

$1150.00 Regular Registration

$950.00 Early Bird Pricing (Register 30 Days in Advance)

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Course Brochure

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Future Live Stream Sessions (click to register)

Course Description

Course notes, case studies and interactive exercises address how to develop a framework to better understand the changes in the technology landscape with a focus on AI and Gen AI. You will learn key concepts and terminology to effectively communicate with more skilled professionals in the AI field. You will learn how to critically evaluate benefits and risks of AI and Gen AI applications professionally and personally. You will also get a sense of the level of acceptability of use of AI in different contexts where regulatory health authorities may be involved. 

Who Should Attend

Anyone looking to get a good grasp on the Artificial Intelligence and Gen AI buzz in life sciences and develop skills and critical thinking to distinguish between what’s hype vs real. Scientists, project, program, portfolio and alliance managers, specialists in toxicology, clinical pharmacology, biometrics, medical writing and regulatory affairs will find this course useful. This course is designed for curious, growth-oriented life sciences professionals looking to integrate AI related workflows into their day-to-day work, understand the projected regulatory developments in the space and how it may impact their career trajectory. This course will primarily be focused on the biopharmaceutical landscape.

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  • Learning Objectives

    Upon completion of this one-day course, you will:


    • Understand AI Fundamentals and Key Terminology: Gain a foundational understanding of Artificial Intelligence, including essential terms like Machine Learning, Deep Learning, and Large Language Models.
    • Explore AI Applications in Life Sciences: Discover how AI is being used in every stage of drug development and within specialized life science functions that support drug discovery, development, regulatory submission and approval.
    • Navigate Regulatory and Ethical Frameworks: Understand global regulatory perspectives on AI, including compliance requirements, ethical considerations, and best practices in data governance. Understand what to expect as the regulatory thinking on AI evolves. 
    • Utilize Practical AI Tools: Learn to integrate user-friendly AI tools into your daily professional and personal workflow, regardless of your technical background.
    • Analyze AI-Driven Innovations: Critically investigate the utility, return on investment and potential impact of AI innovations to either support their evaluation on behalf of your company or to advocate for their implementation. 
    • Prepare for the Future of AI in Life Sciences: Anticipate future trends and prepare to lead in an AI-enabled life sciences environment.

  • Agenda

    Artificial Intelligence Basics

    • Review key concepts related to AI and Gen AI
    • Classification of different AI modalities and utilization
    • Existing applications of the AI in the drug development cycle 
    • Ethics in AI development and deployment 
    • Case studies of where AI has delivered value vs failed 
    • Developing a framework and library for continuous learning on AI related topics 

     

    AI in Drug Development Lifecycle 

    • AI application in the following phases of the Drug Development Lifecycle:
    1. Discovery to pre-clinical proof of concept 
    2. Early to late Clinical Trials/ Studies 
    3. Regulatory submission to Approval 
    4. Launch to Phase 4 
    • Focus on life science functional benefits to verticals such as 
    1. CMC
    2. Medical Writing
    3. Quality/Compliance 
    4. Program and Portfolio management 
    • Examples of AI powered biotech companies
    • News and events to watch out in this space 

    Navigating AI Related Regulatory Frameworks and Positions 


    • FDA position 

    • EMA position

    • Health Canada position 

    • MHRA position 

    • Other regional health authorities 

    • Global Harmonization efforts in the space 


    AI tools for Use in the Personal and/or Professional Domain

    • Examples and case studies of Personal use
    • Examples and case studies of AI deployment either from scratch or through vendors in the professional space
    • Common watchouts 
    • Change management, Quality and Compliance related to AI 

    Preparing for the Future of AI 

    • Critical thinking applied to the evaluation of AI solutions & use cases
    • Case studies on benefits and issues 
    • Projecting future trending of the AI space and overall utility 
    • Preparing for AI integration into professional career growth 

Registrant Information:

Each person attending a course will be asked to set up an Attendee Profile Account during the registration process. Creating an Account helps you view your order history and manage your training programs. If you are registering for others, please set up an Account in the Attendee’s name. If you are registering more than one person, you’ll need to set up a separate account for each Attendee.

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