From discovering antibiotics to customizing cancer treatments, Generative AI is revolutionizing the pharmaceutical world. This interactive workshop dives deep into how pharma companies can accelerate innovation, improve patient outcomes, and monetize AI-driven solutions.
- Learn how GenAI is reshaping drug discovery and development
- Master AI-powered tools for clinical trials, manufacturing & pharmacovigilance
- Explore AI’s role in personalized medicine and patient engagement
- Understand ethical, compliance & monetization strategies in AI pharma
Theme: "Can AI Cure Diseases Faster Than Humans?"
- Understand Gen AI in pharma vs traditional R&D Learn
- how AlphaFold revolutionized protein structure
- prediction Explore AI-driven clinical trials & patient recruitment
Activity: Build an AI-powered molecule generator + Design Thinking Workshop
Case Studies: Moderna’s COVID-19 Trials, AI Cancer Detection Patterns
Theme: "From AI Labs to Life-Saving Medicines"
- Optimize supply chains with AI, digital twins & predictive maintenance
- Automate regulatory compliance & post-market surveillance
- Drive AI-first marketing, patient adherence, and virtual health assistants
Activity: AI Scientist vs Pharma Exec – Roleplay & Ethical AI Workshop
Case Studies: Vaccine production optimization, AI-driven pharma marketing
Theme: "Profit or Patients First?"
- Explore AI in genomics & hyper-personalized medicine
- Learn how AI startups monetize through SaaS, APIs, & drug repurposing
- Discuss AI hallucinations, bias, and compliance pitfalls
Activity: Pitch an AI pharma innovation – Final Workshop
Case Studies: Insilico Medicine, AI-led cancer treatment
- Actionable Gen AI use cases across pharma R&D and commercialization
Generative AI is transforming pharma R&D and commercialization by speeding up drug discovery, optimizing clinical trials, and personalizing treatments. It can design novel drug candidates, predict patient responses, and identify biomarkers for precision medicine. Additionally, AI enhances clinical trial efficiency, supports real-world evidence generation, and improves market access strategies.
- AI ethics & risk mitigation strategies
AI ethics focuses on ensuring fairness, transparency, and accountability in AI systems. To mitigate risks, it's important to address bias by training models on diverse data and regularly auditing them. Ensuring AI decisions are explainable promotes trust and accountability. Additionally, privacy concerns should be handled by following strict data protection guidelines and ethical frameworks.
- Interactive design thinking & innovation storytelling skills
Interactive design thinking is a problem-solving approach that focuses on understanding users' needs, prototyping solutions, and testing iteratively. It emphasizes empathy, creativity, and collaboration. Innovation storytelling skills involve communicating complex ideas in a compelling way, making them relatable and engaging
- Certificate of Completion
Upon successfully completing the program, you’ll receive a prestigious certificate that validates your expertise in AI project management. This certification demonstrates your ability to lead AI-driven initiatives, making you a valuable asset to employers and organizations looking to integrate AI solutions.
- Pharma Executives
- R&D Scientists & Bioinformaticians
- Innovation & Strategy Leaders
- HealthTech Founders & Investors