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Department of Biomedical Informatics News and Stories

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Nutrients

Nutrients

Department of Biomedical Informatics In the News

Healio

Diagnostic criteria for pediatric sepsis updated for first time since 2005

news outletHealio
Publish DateFebruary 09, 2024

“We leveraged a heavily data-driven approach in order to develop and validate these new criteria,” Tellen D.Bennett, MD, MS, a professor of biomedical informatics and pediatric critical care at the CU School of Medicine, said in a release.

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News Medical

Updated pediatric sepsis definition could save countless children's lives

news outletNews Medical
Publish DateJanuary 22, 2024

An international research team led by Tell Bennett, MD, MS, professor of biomedical informatics and pediatric critical care at the University of Colorado School of Medicine, released new diagnostic criteria for sepsis in children this week, marking the first update to the pediatric sepsis definition in nearly two decades.

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CU Anschutz News

The Colorado Center for Personalized Medicine Highlighted as a Leader in Precision Medicine in Research and Clinical Care

news outletCU Anschutz News
Publish DateJanuary 05, 2024

“We’re one of the only institutions in the world that has accomplished the dual-purpose of using genetic information to accelerate scientific discovery in research while providing actionable clinical results to patients that can lead to preventative measures for diseases or inform on potential medication reactions,” said the paper’s senior author Chris Gignoux, PhD, MS, professor of Biomedical Informatics at CU Anschutz and the Director of Research for CCPM.  

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Nature

Open source and reproducible and inexpensive infrastructure for data challenges and education

news outletNature
Publish DateJanuary 02, 2024

Given the potential to develop scientific and clinical knowledge and the NIH emphasis on data sharing and reuse, there is a need for inexpensive and computationally lightweight methods for data sharing and hosting data challenges. To fill that gap, DBMI researchers developed a workflow that allows for reproducible model training, testing, and evaluation.

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