Bringing impactful data-driven leadership to all phases of drug development and successful regulatory interactions regarding new drug application

  • Discovery and preclinical phase: Target identification using big data analytics, predictive modelling for candidate selection (e.g., QSAR models) and case study for successful preclinical data-driven strategies
  • Optimizing clinical trial design: Adaptive trial designs, real-world data integration and patient recruitment and retention strategies
  • Biomarkers and precision medicine: Role in patient stratification and targeted therapies and precision medicine case study in oncology
  • Case studies and real-world examples: Success stories and lessons learned in data-driven drug development

INTERACTIVE PANEL DISCUSSION: Implementing risk-based strategies to streamline clinical data management for small and mid-sized biotechs

  • Collaborative approaches to optimize RBQM practices within the constraints of small and mid-sized companies
  • Employing an end-to-end risk-based data management framework into study conduct to reduce workload, burden, and timelines
  • Considering the critical factors during protocol risk assessment to reduce unnecessary protocol complexity
  • Updating monitoring frequency based on risk assessment to enhance resource allocation

Harnessing AI, IDP, and Process Intelligence for Financial Transformation

Join this roundtable to explore:

  • What Intelligent Document Processing is and the role of AI, data privacy, Large Language Models (LLMs), and Intellectual Property (IP) considerations, and discover use cases for automation, handling unstructured documents, and preventing fraud through signature verification.
  • How Process Intelligence capabilities can serve the needs of the Financial Services Industry.
  • ABBYY’s approach to AI – Purpose built AI and why Process Intelligence is a pivotal role in your AI strategy.

Private Dinner Hosted by ABBYY