DIA 2025 Global Annual Meeting

Component Type: Forum
Level: Basic

Data science, AI and LLMs are redefining how we conduct clinical development to be faster, more efficient and more patient-centric. The National Insititute of Health, in partnership with the private sector, is leading the charge in driving change.

Learning Objectives

Describe examples of NIH innovation in tech-enabling clinical development through the application of data science, AI and LLMs; Identify potential opportunities for future public-private partnerships to accelerate tech enablement of clinical development.

Chair

Peter Ronco

Component Type: Forum
Level: Advanced

Crossing 1.5 billion population in 2024, Africa's demographic boom is urging new models of development and innovation. In this fireside chat, four pioneers (from leading U.S. medical centers to Top 10 pharma to big-name philanthropies) will share their ground-breaking journey in advancing Africa healthcare and R&D capabilities, and ambitious plans ahead. The panelists will be joined by DIA's incoming and past Board Chairs to help unlock our community's collective energy and creativity on this worthy front and explore win-win collaborations.

Learning Objectives

Develop an understanding for the significant social progress and momentum in world's fastest growing continent, as well as implications for healthcare development, patient needs and opportunities, and life science innovations. Reflect upon the vision, achievements, lessons learned, and future goals shared by this cross-section of global and on-the-ground change makers. Seek common interest areas, find ways to work together, and spread the good word.

Chair

Rachel Zhang, MA, MBA

Speaker

Panelist
Huwaida Bulhan, MD

Panelist
Tariro Makadzange, MD, PhD

Panelist
Katherine Van Loon

Panelist
Rebecca A. Vermeulen, RPh

Panelist
David Mukanga, PhD, MPH

Component Type: Session
Level: Advanced

We will discuss potential applications of AI in making diagnoses and treatment decisions, the appropriate ethical and regulatory boundaries, and how to progress forward balancing patient benefits against the potential risks.

Learning Objectives

Understand the potential impact, ethical considerations, and evolving regulations related to the use of artificial intelligence in making diagnoses and treatment decisions Formulate plans to bring artificial intelligence solutions to market and shape regulations

Chair

Eli Weinberg, PhD, MS