3rd Annual Pharma AI Summit

Key topics

• Post-pandemic growth of AI in the pharmaceutical industry: opportunities, lessons learned, challenges
• Disease identification, diagnosis and drug discovery with the help of AI: Data-driven approach
• Accelerating research and development timeline in drug discovery with AI
• Multi-functionality of AI in the pharmaceutical sector: quality control, sustainability, production reuse, predictive maintenance of supply chain
• Personalised patient care and monitoring with AI
• AI’s role in medication safety
• Investing in the right AI solutions to deliver the right drugs for the needs of the post-pandemic decade
• Creating beneficial networks with suppliers and contract manufacturers to improve end results 

Who should attend

Medical doctors, researchers, scientists, CXOs, VPs, seniors, managers, directors, department heads, engineers in the pharmaceutical industry specializing in:

• Artificial Intelligence
• Big data solutions
• Research and development
• Data sciences and analytics
• Machine learning
• Drug research
• Drug discovery and development
• Predictive analytics
• Pre-clinical and clinical trials
• Medical imaging
• Biomedicals
• Bio-informatics and technology
• Clinical innovation
• Scientific computing
• Drug design
• Computational screening & cognitive computing
• Real-world data and evidence
• Information systems
• Digital health

Target audience

• Pharmaceutical companies
• Healthcare companies
• Biomedical companies
• Biotech companies
• AI and machine learning companies
• Data analytics companies