Archives: Agenda

• How AI and digitalization can support streamlining of clinical operations and improve efficiency
• Simple ways to implement tools such as GPT and GenAI
• Where can AI be utilized to minimize workloads and increase overall output?
• The regulatory landscape in the US for the use of AI in clinical trials: what do you need to know?
• Key limitations of GenAI and how these impact its potential uses for clinical trials in the US

• Opportunities for incorporating AI into clinical research: where should the industry be focusing?
• Why has pharma been relatively slow to utilize AI in clinical research?
• Understanding limitations of GenAI: what do you need to be wary of?
• Real case studies on AI in the clinical trial industry: where has there been progress and success?
• What does the future hold for AI in clinical trials?

MODERATOR Revati Tatake, Global Head of Pharma Research, Analysis and Competitive Intelligence, GlobalData Healthcare

• How early should you begin planning study start up and site activation?
• Tips and tricks to reduce start up timelines for your trial
• Fostering a strong relationship with sites to accelerate study start up and reduce overall timelines

• Harnessing Apple Watch technology: key features for detecting heart arrhythmias
• What the evidence says: insights from published cardiovascular studies
• From wrist to research: smart distribution models for clinical trial success
• Making it work: tackling operational and data management hurdles for clinical trial success

• Big pharma is a battleship in a speedboat world. FSP outsourcing offers the agility to cut through traditional development timelines and chart a faster course to patients.
• In this presentation, Parexel will share how they partnered with Bristol Myers Squibb (BMS) to make a strategic shift, transitioning from a predominantly full-service outsourcing model to a functional service provider model. This involved redefining traditional roles, innovating tasks and responsibilities, and talent redeployment in support of pipeline priorities.
• The presenters will discuss the strategic considerations and benefits of this transition, demonstrating how through a collaborative partnership, they worked to enhance BMS’ clinical trial operations, creating resource efficiencies, increasing agility, and optimizing clinical operations across their global portfolio. This presentation will offer valuable insights for companies seeking to adapt their outsourcing strategies to meet the demands of today’s complex and rapidly changing drug development environment.

Learn how the elluminate Clinical Data Cloud provides seamless access to comprehensive trial data across systems and sources:

• How a centralized data workbench eradicates data silos and provides near real-time access to data for optimized oversight and more efficient, data-driven decision making
• AI/ML capabilities to ensure data quality, automated data review processes, and increased productivity across the clinical development lifecycle with eIQ Review
• Proactive trial oversight and management with increased automation, comprehensive analytics, and custom visualizations in elluminate Operational Insights
• Mitigating risk with efficiency, accuracy, and ease with holistic Risk-Based Quality Management

• Everything starts with strategic site selection and feasibility
• Understand the value of patient engagement and measuring its impact on the trial successful completion
• Know your sites, know their needs, customize your support
• Innovative patient centric approach: defining a set of strategies designed to place the needs, preferences, and experiences of patients at the

• Methods to streamline patient recruitment and enrolment processes
• AI and ML as methods of speeding up enrolment timelines in order to reduce overall trial costs
• Engaging patients through social media and other digital channels