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AI IN HEALTH

CONFERENCE

AI, DATA, AND COMPUTING IN HEALTHCARE AND PUBLIC HEALTH

NOV 7 WORKSHOP | NOV 8-9 CONFERENCE | HOUSTON, TX

POSTER SUBMISSIONS DUE OCT 23

ABOUT
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.

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KEYNOTE SPEAKERS

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Guha Balakrishnan
Assistant Professor,
Rice University

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Laura E. Barnes
Professor,
University of Virginia

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Theodora Chaspari
Assistant Professor,
Texas A&M University

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Caroline Chung
Vice President and Chief Data Officer, Radiation Oncology;

Associate Professor, UT MD Anderson Cancer Center

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Richard Gibbs
Founding Director, Human Genome Sequencing Center, Baylor College of Medicine

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Charles (Chuck) Green
Professor, UT Medical
School at Houston

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Xia (Ben) Hu
Director, Data to Knowledge Lab (D2K); Associate Professor, Rice University

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Yejin Kim
Assistant Professor, 
UT Health Science Center at Houston

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Diego R. Martin
Chair of Radiology, Translational Imaging Center; Director, Houston Methodist Research Institute 

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Badri Roysam
Chair and Professor, University of Houston

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Akane Sano
Assistant Professor,
Rice University

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Jon Tamir
Assistant Professor,

UT Austin

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Sonia Villapol
Assistant Professor, Houston Methodist Research Institute

Fei Wang
Associate Professor,

Weill Cornell Medicine, Cornell University

Huiyuan Yang
Postdoctoral Research Associate, Rice University

INVITED SPEAKERS

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ABSTRACTS

TECHNICAL PROGRAM

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.

HEALTHCARE
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MENTAL HEALTH
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AI
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IMAGING
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PUBLIC HEALTH
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GENOMICS
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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.

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Nicholas Navin
Department of Genetics, Division of Basic Sciences, UT MD Anderson Cancer Center

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Sergey Koren
National Human Genome Research Institute, NIH

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Todd Treangen
Computer Science,
Rice University

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Vicky Yao
Computer Science,
Rice University

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