Reimagining Pharma by Integrating Science and Technology:

• Digital Technology trends in Pharma and Bio-Tech industry
• Adopting AI and Machine Learning to unlock the full potential of Pharma
• How pharma can integrate into digital health environment
• Collaborative Innovation: Finding the right partners to leverage new technologies in Pharma
• Patient Centred Drug Discovery

Digital Discovery and Clinical Trials: 

• Applying AI to the design of lead compounds for new drugs
• Algorithms and Models for drug discovery
• AI and ML for Target Identification & Validation in Drug Discovery
• Advancing Drug Discovery through quantum computing
• Genomics & Drug Discovery
• Virtual and Hybrid Clinical Trials
• R&D Use Cases

Decoding the Value of Data Science, Big Data & Informatics:

• Implementation and relevance of FAIR data principles in Pharma R&D
• Harnessing Data Science for Drug Combination Discovery
• AI and Big Data: A powerful combination for future growth
• The use of AI to make sense of clinical data
• Use of big data for precision medicine
• Multi-omics & clinical data to unlock the power of complex datasets
• Integration and Visualization of translational Medicine Data
• Data & Healthcare Analytics

Real-World Data & Real-World Evidence: 

• The Growing Importance of Real-World Data
• RWD for clinical research and drug development
• RWE and RWD to support regulatory decision making
• Real?World Data Science to advance Patient Care
• Managing real world data governance

Digital Health & Future Innovations:

• Healthcare & Medical Technology
• Adoption of IoT in Pharma
• Potential of Cloud Computing in Pharma
• Impact of Digital Health in Pharma
• Digital Health strategy and Patient centric Clinical Trials
• The convergence of Digital Therapeutics and Pharma in Digital Health
• How pharma-health collaboration works on innovating drug discovery & patient experience
• Blockchain and AI-based Platform