Bioinformatics Computer Model Predicts Deadliest Lung
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,
Professor of Population and Data Sciences and Bioinformatics and senior author of a study outlining this
Dept. of Population and Data Sciences
Southwestern Medical Center
Class: Machine Learning and Artificial Intelligence in
- 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
- 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