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Department of Biomedical Informatics News and Stories

Faculty

Research    Innovation    Faculty    Medical imaging

Novel Technology Designed to Increase MRI Speeds

Nicholas Dwork, PhD, assistant professor in the Department of Biomedical Informatics at the University of Colorado School of Medicine, has filed a provisional patent for a technology that could increase scan speeds of three-dimensional magnetic resonance imaging (MRI). The invention could lead to faster results, increase the clinical applications of MRIs, and ultimately improve patient care.


Author Toni Lapp | Publish Date December 05, 2022
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Community    Faculty    Diversity    Health equity    Social Justice

Breaking Barriers and Creating Opportunities for Underrepresented People in Data Science

Janani Ravi, PhD, assistant professor in the Department of Biomedical Informatics at the University of Colorado School of Medicine, didn’t intend to challenge the status quo when she began her career in data science. But after several years of working diligently on her research in computational biology as a graduate student at Virginia Tech, as a postdoc at Rutgers Biomedical and Health Sciences, and then as an independent researcher/faculty member at Michigan State University (MSU), she began to see a pattern emerge, particularly on the conference circuit.


Author Toni Lapp | Publish Date November 11, 2022
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Research    COVID-19    Faculty    Public Health

How a COVID-19 Mortality Prediction Model Created by CU Data Scientists Could Provide Insights for the Next Pandemic

Overflowing intensive care units. A shortage of personal protective equipment. A scramble for hospital beds and ventilators. Health care workers pushed to the brink. The COVID-19 pandemic laid bare many well-documented vulnerabilities of health care systems. The need for accurate and early clinical assessment of severity related to COVID-19 was vital to developing crisis standards of care to meet the growing pandemic. These standards of care are informed by mortality prediction models, which assess the risk of imminent death in patients.


Author Toni Lapp | Publish Date September 22, 2022
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Department of Biomedical Informatics In the News

GenomeWeb

Building off ChatGPT Popularity, Generative AI Starts Finding its Place in Genome Informatics

news outletGenomeWeb
Publish DateSeptember 22, 2023

Shawn O’Neil, a data engineer at the Translational and Integrative Sciences Lab (TISLab) at the University of Colorado School of Medicine and training coordinator with the US National Institutes of Health’s National COVID Cohort Collaborative, recently joined the Monarch Initiative, an open-source bioinformatics platform for matching phenotypes to genotypes.

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Nature

Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms

news outletNature
Publish DateSeptember 13, 2023

Transcriptome-wide association studies have helped uncover the role of individual genes in disease-relevant mechanisms, explain researchers from the CU Department of Biomedical Informatics. However, modern models of the architecture of complex traits predict that gene-gene interactions play a crucial role in disease origin and progression. Researchers introduce PhenoPLIER, a computational approach that maps gene-trait associations and pharmacological perturbation data into a common latent representation for a joint analysis and observe that diseases are significantly associated with gene modules expressed in relevant cell types, and our approach is accurate in predicting known drug-disease pairs and inferring mechanisms of action.

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Health Day

Low-Cal vs. Fasting Diets: How Does Each Affect the Microbiome?

news outletHealth Day
Publish DateAugust 25, 2023

After tracking calorie-control dieters and intermittent fasters for three months, both had improved microbiome diversity, said study author Maggie Stanislawski, an assistant professor in the CU Department of Biomedical Informatics.

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9News

Hate cilantro? It's possible it could be in your genes

news outlet9News
Publish DateAugust 25, 2023

DBMI geneticist Joanne Cole, PhD, explains the role of genetics and other factors in food preference. 

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