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Mar 24, 2021

Data science, machine learning, and AI can be applied to a wide spectrum of healthcare tasks, from modeling the spread of COVID across a city to arrhythmia detection on an individual patient.

Using these tools requires data and expertise from both engineering and medical communities. While these groups often collaborate on worthwhile projects, it can be difficult to start new projects across industries and institutions due to a variety of factors including geography, contracting, and regulations. 

Motivated by a desire to train the next generation of data workers, the Data2Knowledge Lab at Rice University has created an ecosystem that brings together clinical and engineering researchers in the service of answering healthcare questions with data. 

Join Genevera Allen, PhD, the founder and director of the D2K Lab, as she discusses how she developed the program, leveraging the largest industries in Houston to find interesting problems and foster research opportunities. Particular projects with institutions in the Texas Medical Center have included:

  • Detecting arrhythmias in pediatric populations
  • NLP chatbot for actively monitoring COVID symptoms with University of Health Science Center at Houston
  • Detecting cardiac instability in children prior to cardiac arrest (with Texas Children’s Hospital)
  • Finding genomic signatures in age-related macular degeneration (with Baylor College of Medicine)
  • Impact of COVID-19 on EMS services (with City of Houston Fire Department)

Learn more about how the program was built and best practices for working with academic universities in your area to create a similar program. 

For a full replay of the webinar with accompanying slides please visit:

Season 1, Episode 6
Aired live on March 16, 2021 at 12:30pm CT
Audio: 9:07