Welcome to Quantitative Biomedical Research Center

Meet some of the talented faculty members, staff, and students in the Quantitative Biomedical Research Center (QBRC) at UT Southwestern Medical Center.

Members

In the QBRC, we have multiple research labs for interdisciplinary biological research. Collaboration and teamwork are our keywords here.

Research Labs

We provide online tools and packages for biological research. Our computational biology team is continually releasing software to aid with statistical analysis.

Softwares

We welcome talented students, postdoctoral researchers, and faculty members to join us. We also greatly welcome any questions or comments regarding the QBRC.

Contact Us

Bioinformatics Computer Model Predicts Deadliest Lung Cancers



Newswise — DALLAS – March 8, 2017 – After evaluating more than 900 differences in the shape and structure of cancer cells, UT Southwestern Medical Center researchers developed a computer model able to predict the most deadly lung cancers based on a fraction of those features.

“This computational approach should someday make it possible for doctors to tailor the treatment of individual patients based on risk predicted by computer algorithms, for instance choosing to treat patients at higher risk more aggressively,” said Dr. Guanghua “Andy” Xiao, Associate Professor of Clinical Sciences and Bioinformatics and senior author of a study outlining this approach.

Guanghua Xiao, Ph.D.

Associate Professor
Department of Clinical Sciences
UT Southwestern Medical Center

Class: Machine Learning and Artificial Intelligence in Medicine




  • This will be a project-focused course. Each student will be required to finish at least 2 projects. Basic data analysis and programming skills are pre-required for this course.
  • Course projects will cover different types of data and applications.
  • In the first 4 weeks, the course will cover the concepts of Machine Learning and Artificial Intelligence in Medicine, overview of different computational methods, project descriptions and assignments.
  • In the following 12 weeks, students will discuss and presents projects guided by instructors.


Download Class Materials:  chest_xray.zip  IDC_regular_ps50_idx5.zip