Fall Annual Meetings

The goals of the “Leveraging Decentralized Clinical Trials (DCT) to Advance Translation” session are to outline the benefits, limitations and regulatory aspects involved in the design of optimal DCT, as well as its execution and conduct. Discussion will focus on identifying best practices surrounding technology and digital health solutions for optimal DCT design while ensuring that DEIA goals are met. We hope that discussion will identify collaborative opportunities among investigators, regulators, and industry representatives that will result in streamlined DCTs.

The “AI in Clinical Research - Opportunities, Challenges, and Threats” session is designed to provide a wide variety of current perspectives on Artificial Intelligence (AI) in clinical research.  Our speakers will discuss the opportunities, challenges, and threats involved in both current and evolving AI tools.  We will pay specific attention to issues surrounding bias, ethics and health equity.  Ultimately, we hope to stimulate thinking and discussion about how the CTSA Consortium can lead responsible innovation in the translational science and AI space.

In the “training and Mentoring in Translational Science” session speakers will talk through the approaches they used to find success in translational science, followed by a panel of recent trainees.  Additionally, we will discuss the translation science competencies in the context of training and mentoring.  Interaction among the presenters and attendees during this session is expected to elicit creative solutions for translation science in training and mentoring. 

Please join us at the hotel bar for a Women in Data Science happy hour event where empowerment takes center stage! This gathering not only celebrates our achievements but also fosters motivation, inspiration, and meaningful networking, creating a vibrant space that propels women forward in data science and informatics. Attendees will have an opportunity to mingle, hear stories from women, and experience a premiere of a never-before-seen video highlighting the women in our data science community! 

The “Real World Data (RWD) / Real World Evidence (RWE) to Advance Translation” session was developed to identify and propose solutions to challenges surrounding RWD quality, bias, training, and issues of equity and justice.  This session is immediately followed by breakout sessions on RWD/RWE which will also touch on a variety of related specialized topics including Clinical Data / eCRF, Patient Generated Data, Cost Utilization Data, and Public Health Data, integrating themes such as the Nature and Range of Data Types; building teams to use novel data types; Ethics, Real World Data and AI; and Data Read and Data User. 

Our last session, “Stimulating a Conversation about Translational Science Research”, will provide examples of Translational Science research questions and highlight a variety of approaches used by successful applicants of the UM1 Element / RC2 awards.  Following these presentations will be a facilitated open discussion.