Join us April 9-11, 2025
"Driving Clinical Research Forward with Advanced Statistics and Data Innovations: Biostatistics in the age of AI/ML"

We are delighted to announce the symposium DISS2025, scheduled for April 9-11, 2025, at the Hilton Durham, conveniently located near Duke University. Under the compelling theme “Driving Clinical Research Forward with Advanced Statistics and Data Innovations: Biostatistics in the Age of AI/ML,” this symposium will delve into the cutting-edge realms of biostatistics and data innovations within pharmaceutical development, particularly in the context of artificial intelligence (AI) and machine learning (ML).
The rapid advancements in biomedical technology, big data science, and AI have opened unprecedented opportunities for drug development. This evolution necessitates the integration of diverse, state-of-the-art tools and methodologies into clinical trial research. Key areas of focus will include the application of machine learning and AI, the utilization of electronic health records, pragmatic trials, patient-centered trial designs, master protocols, adaptive trial design methodologies, as well as the effective use of historical controls and real-world evidence. Unlike traditional clinical development approaches, these innovative strategies demand the systematic extraction of insights from data collected through ongoing clinical trials and external sources. They also involve leveraging AI and ML algorithms and analyzing high-dimensional clinical, genomic, and imaging data as biomarkers for the creation of next-generation pharmaceutical products.
The symposium will commence with a day dedicated to short courses, offering a robust and comprehensive foundation for the subsequent sessions. The following day and a half will feature an array of enriching experiences, including keynote addresses by industry leaders, engaging parallel sessions, and dynamic poster lightning talks.
The Steering Committee and our local Organizing Committee extend a warm welcome to all participants. Your expertise in biostatistics and data innovations will undoubtedly enrich our discussions. Please do not hesitate to let us know if you require any assistance during your stay in Durham.
The Duke Industry Statistics Symposium (DISS) is organized by the Department of Biostatistics and Bioinformatics, Duke University School of Medicine and several industry and non-profit partners. The first symposium was established in 2013 to discuss challenging issues and recent advances related to the clinical development of drugs, biologics and devices and to promote research and collaboration among statisticians from industry, academia, and regulatory agencies.

THURSDAY, APRIL 11
Michael J. Pencina, PhD
Chief Data Scientist, Duke Health
Vice Dean for Data Science
Director, Duke AI Health
Professor, Biostatistics & Bioinformatics
Duke University School of Medicine
FRIDAY, APRIL 12
Haoda Fu, PhD
Head of the Exploratory Biostatistics, CfDA
Amgen

Journal of Biopharmaceutical Publication
The Journal of Biopharmaceutical Statistics will be publishing a special issue based on the invited talks and submitted posters from DISS2024. This special issue is currently under review and will be published in the Spring of 2025. The special issue was co-edited by Dr. Shibing Deng (Pfizer) and Dr. Zhaoyang Teng (Sevier).
It is planned that there will be a special issue published derived from the DISS2025 invited talks and submitted posters as well. We invite you to consider submission when we begin organizing this special feature.
The DISS23 special issue was published early this year, and all the articles are in the Latest Articles category on the Journal of Biopharmaceutical Statistics website.