Pediatric Grand Rounds: Machine Learning in Medicine

Presenter: Marzieh Ayati, Ph.D.

Assistant Professor of Computer Science, College of Engineering and Computer Science, UT Rio Grande Valley

Clinical medicine has always required doctors to handle enormous amounts of data, from macro-level physiology and behavior to laboratory and imaging studies and, increasingly, “-omics” data (i.e. genomics, transcriptomics, proteomics…). The ability to manage this complexity and make the appropriate decision in diagnosis and prognosis requires extensive interpretation of these large datasets. In modern medicine, machine learning has become an indispensable tool to transform patients’ data to knowledge, and accelerate the transition to personalized medicine. As patients’ conditions and medical technologies become more complex, its role will continue to grow, and clinical medicine will be challenged to grow with it.

Objectives include:

  • Introducing the basic concepts of machine learning
  • Exploring the problems in medicine that can get benefit from machine learning
  • Reviewing some progress that machine learning is having in medicine
  • Discussing current pitfalls of machine learning approach in medicine

1.0 AMA PRA Category 1 CME Credit Avaliable

Light lunch provided at 12:15 p.m. for those who RSVP.

Please RSVP by Wed., April 24, 2019.

Join Via Zoom:

For more information, call 956-296-1604 or email

Friday, April 26 at 12:30pm to 1:30pm

Medical Education Building (EMEBL), Auditorium
1214 W Schunior St, Edinburg, TX 78541

Event Type

Health & Wellness, Training & Development

Target Audience

Students, Staff, Faculty



Computer Science, School of Nursing, School of Medicine



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