Overview
Explore how AI is revolutionizing healthcare innovation, from drug discovery to practical applications, with real-world examples from Lilly and across the industry, examining both catalysts and barriers to progress.
Syllabus
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- Introduction to AI in Healthcare
-- Overview of AI's role in modern technology
-- Key concepts and definitions
- AI in Drug Discovery
-- Process and stages of drug discovery
-- AI techniques in drug design and development
-- Case study: AI in Lilly's pipeline
- Diagnostics and Personalized Medicine
-- AI in diagnostic imaging and pathology
-- Machine learning for personalized treatment plans
-- Real-world applications and outcomes
- AI in Clinical Trials
-- Enhancing trial design with AI
-- Data analytics and patient selection
-- Success stories and industry examples
- Catalysts for AI Implementation in Pharma
-- Technological advancements driving AI adoption
-- Collaboration between tech companies and pharmaceutical firms
-- Regulatory support and frameworks
- Barriers to AI Progress in Healthcare
-- Data privacy and ethical considerations
-- Integration challenges within existing systems
-- Regulatory hurdles and compliance issues
- Future Trends and Innovations
-- Emerging AI technologies in healthcare
-- The potential for AI in global health challenges
-- Forecasting the next decade of AI in pharma
- Conclusion and Real-world Impact
-- Recap of AI's transformative effects
-- Implications for the future of healthcare and technology
- Final Project and Case Study Analysis
-- Analysis of a recent AI application in the pharma industry
-- Group presentations and feedback sessions
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On-Demand
