OUTLOOK FOR THE NEXT DECADE IN
AI, MACHINE LEARNING & HEALTH
The AI in Health Conference is your opportunity to connect with and learn from researchers, engineers, clinicians, and entrepreneurs at the forefront of artificial intelligence in healthcare and public health. Brought to you by the Ken Kennedy Institute at Rice University, the program will address the current state of artificial intelligence in health and showcase a research-based outlook on the next 10 years.
The AI in Health Conference will take place in Houston, home of the largest medical center in the world - the Texas Medical Center hosts 21 hospitals that are visited by 10 million patients each year. The intersection of healthcare and artificial intelligence holds potential, unlike any other innovation the medical industry has seen before. Artificial intelligence’s ability to operate and automate tasks at heightened speed, efficiency, and accuracy has already made an impact on day-to-day hospital care and administrative functions.
On November 7, join us for a free pre-conference workshop (separate registration) on RAD Genomics: Workshop on Reading, Assembling, Analyzing, & Designing Genomic Data. The conference will be held on November 8-9 with an exciting two days of keynote speakers, technical talks, an exhibit hall, networking receptions, and poster presentations. Sign up for our newsletter for program updates.
Laura E. Barnes
University of Virginia
Texas A&M University
Vice President and Chief Data Officer, Radiation Oncology;
Associate Professor, UT MD Anderson Cancer Center
Founding Director, Human Genome Sequencing Center, Baylor College of Medicine
Charles (Chuck) Green
Professor, UT Medical
School at Houston
Xia (Ben) Hu
Director, Data to Knowledge Lab (D2K); Associate Professor, Rice University
UT Health Science Center at Houston
Diego R. Martin
Chair of Radiology, Translational Imaging Center; Director, Houston Methodist Research Institute
Chair and Professor, University of Houston
Assistant Professor, Houston Methodist Research Institute
Weill Cornell Medicine, Cornell University
Postdoctoral Research Associate, Rice University
Technical speakers will highlight algorithms, use-cases, and solutions that support data-driven discovery and decision-making in healthcare and public health for the next decade.
RAD GENOMICS WORKSHOP
READING, ASSEMBLING, ANALYZING, & DESIGNING GENOMIC DATA
Monday, November 7, 2022
This Rice Ken Kennedy Institute sponsored workshop will focus on bringing together scientists spanning multiple disciplines with interest in learning more about the rad world of genomics. Join an inspiring discussion and scientific engagement specific to reading, assembling, analyzing, and designing genomic data. This is a free workshop that requires a separate registration.