Archives: Agenda
STREAM A: Outsourcing & Clinical Operations
Afternoon refreshments and networking – Please visit 3 booths in this break
Lunch and networking – Please visit 3 booths in this break
Using AI (Artificial Intelligence) in Drug Discovery and Development
- Using AI model to discovery Hit (Virtual Screening, Docking, MD simulation)
- Implement machine learning models to predict biological activity and optimize lead compounds
Australia, your springboard for early phase clinical development
• Clinical Trial Ecosystem in Australia
• Regulatory Requirements in Australia vs USA
• Case studies : FIH Studies Robotic Pill and Vaccine Programs
Four essential factors for success in your Oncology trials
• Why biomarker-driven study is needed
• Development strategy using single-arm trial for rare disease
• What is important for a successful phase 1 clinical trial?
• How to improve the data quality of complex structures
Guiding Principles for Effective Global RTSM Solution Deployment
• Strategic Planning for New Technology Adoption: Key factors to consider for effective integration in evolving business regions
• Enabling Efficient and Reliable Clinical Trials: Best practices to ensure trials are fast, compliant, and well-supported
• Leveraging Global Experience for Success: Real-world insights to navigate complexities and enhance outcomes locally and internationally.
• Preparing for Future Market Demands: Forward-thinking strategies for seamless integration and adaptability
Post-pandemic: Strategies to advance your journey in vaccine development
- Trend of vaccine trials landscape
- Leveraging Southeast Asia in vaccine development
- Case study on expediting clinical development in a multi-regional vaccine study
Beyond Excel: Innovative Solutions for Clinical Supply Forecasting & Planning
• Identify critical areas often overlooked in clinical supply chains that lead to inefficiencies
• Explore the benefits and limitations of each type of tool: from excel-based to specialized forecasting tools dedicated to the clinical supply chain
• Gain practical insights from case studies that explore complex trial designs, waste management, monitoring processes, and adaptability to changes