Home / Department of Immunology and Infectious Diseases / Events / What is virulence? Harnessing machine learning models of genomes, proteomes, and electronic medical records to assess the impact of host versus microbial factors in predicting the severity of 38,000 bloodstream infections

May 17, 2024

What is virulence? Harnessing machine learning models of genomes, proteomes, and electronic medical records to assess the impact of host versus microbial factors in predicting the severity of 38,000 bloodstream infections

Name: What is virulence? Harnessing machine learning models of genomes, proteomes, and electronic medical records to assess the impact of host versus microbial factors in predicting the severity of 38,000 bloodstream infections
Start: 2024-05-17T12:00:00-04:00
End: 2024-05-17T13:00:00-04:00
Location: room FXB 301

Location

room FXB 301

Time

12:00 pm – 1:00 pm

Event Type

Ian Lewis, PhD

Associate Professor of Biochemistry and
AIHS Chair
University of Calgary, Canada

This speaker will be in person in FXB 301. The event will be hybrid and we will have lunch for those that are present.

What is virulence? Harnessing machine learning models of genomes, proteomes, and electronic medical records to assess the impact of host ﻿versus microbial factors in predicting the severity of 38,000 bloodstream infections

Ian Lewis, PhD

What is virulence? Harnessing machine learning models of genomes, proteomes, and electronic medical records to assess the impact of host versus microbial factors in predicting the severity of 38,000 bloodstream infections