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Blogs

Department of Biomedical Informatics News and Stories

Data analysis

Research    Awards    Data analysis

CU Data Scientists Developing Novel Mechanism to Expand NF1 Treatments

The Gilbert Family Foundation has awarded data scientists in the Department of Biomedical Informatics (DBMI) at the University of Colorado School of Medicine $1.2 million to develop a microscopy assay and analysis pipeline for organoids derived from patients with Neurofibromatosis 1 (NF1), a complex rare disease that causes tumors to grow along nerves and produces a range of symptoms.  


Author Kara Mason | Publish Date May 17, 2024
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Research    Cancer    Genetics    Data analysis

Could Creating a Genetic Risk Score Improve Thyroid Cancer Diagnosis?

Researchers at the University of Colorado School of Medicine are hopeful new research could prevent up to 130,000 unneeded fine-needle aspiration (FNA) biopsies of thyroid nodules and subsequent surgeries each year in the United States by better understanding the genetic risk associated with thyroid cancer.


Author Kara Mason | Publish Date April 01, 2024
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Research    Data analysis

Why Share Data? Scientific Discovery Thrives on Collaboration

Programming can be a language of its own.


Author Kara Mason | Publish Date March 26, 2024
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Research    Diabetes    Data analysis

Can a Mother’s Type 1 Diabetes Reduce a Baby’s Chance of Developing the Condition?

Epidemiologist and researcher Randi K. Johnson, PhD, MPH, assistant professor of biomedical informatics at the University of Colorado School of Medicine, is diving into how maternal pregnancy factors impact the offspring’s risk of developing type 1 diabetes (T1D) with the assistance of a $500,000 grant from JDRF Australia. The grant is supported by funding from The Leona M. and Harry B. Helmsley Charitable Trust to JDRF Australia.


Author Kara Mason | Publish Date February 12, 2024
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Patient Care    Pediatrics    Data analysis   

CU Researchers Unveil Modernized Criteria for Pediatric Sepsis and Septic Shock

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.


Author Kara Mason | Publish Date January 21, 2024
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Research    Data analysis

How Software Gardening Can Benefit Researchers

While software development has long been compared to the craft of carpentry due to the need for a sturdy foundation and clear instructions, many in the field say garden analogies offer a way to address gaps and enhance practices.


Author Kara Mason | Publish Date September 28, 2023
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DNA    Genetics    Data analysis

What is Genomics?

Genes are at the center of nearly every human disease and symptom, and until the past few decades, medical researchers had a much narrower interpretation of the human body’s entire genetic makeup, also called the genome.


Author Kara Mason | Publish Date August 30, 2023
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Research    Data analysis

CU Data Researchers Connect Diet to Changes in the Microbiome

“Should I be taking a probiotic?” is a question that Maggie Stanislawski, PhD, assistant professor in the University of Colorado Department of Biomedical Informatics (DBMI), gets asked often.  


Author Kara Mason | Publish Date August 17, 2023
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Research    Advancement    Data analysis

Altitude Research Reaches New Heights

Anybody who has ever experienced altitude sickness, even the mildest form known as acute mountain sickness, knows how debilitating it can be. Symptoms, which include lightheadedness, nausea, fatigue, and headache, most often occur at altitudes above 8,000 feet.


Author Kara Mason | Publish Date July 25, 2023
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Research    Rheumatoid Arthritis    Data analysis

CU Data Scientist Receives Funds to Study Precision Medicine for Rheumatoid Arthritis

With no cure or widely successful therapeutic options for patients with rheumatoid arthritis (RA), Fan Zhang, PhD, is looking to computational machine learning to identify new target treatments.


Author Kara Mason | Publish Date July 12, 2023
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Research    Equity Diversity and Inclusion    Data analysis

Researchers Amplify Diverse Sourcing in Science Journalism

Following an analysis of more than 20,000 articles by researchers in the Department of Biomedical Informatics (DBMI) at the University of Colorado School of Medicine, a major science publication is implementing new policies to improve the diversity of its sources.


Author Kara Mason | Publish Date April 05, 2023
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Department of Biomedical Informatics In the News

IEEE Xplore

Deep Learning with Enforced Data Consistency

news outletIEEE Xplore
Publish DateJuly 10, 2024

In this manuscript we explore a computationally efficient approximation to hard data consistency. We present results when adding this data consistency layer into two existing networks designed for MRI reconstruction. After retraining with the additional consistency layer, the networks show improved out-of-distribution performance and suppression of hallucinations.

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JAMIA

phoenix: an R package and Python module for calculating the Phoenix pediatric sepsis score and criteria

news outletJAMIA
Publish DateJuly 10, 2024

The publication of the Phoenix criteria for pediatric sepsis and septic shock initiates a new era in clinical care and research of pediatric sepsis. The phoenix R package and Python module enable researchers to apply the Phoenix criteria to electronic health records (EHR) datasets and derive the relevant indicators, total scores, and sub-scores.

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JAMIA

MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance

news outletJAMIA
Publish DateJuly 10, 2024

The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven’s Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline.

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SPIE

Accelerated parallel magnetic resonance imaging with compressed sensing using structured sparsity

news outletSPIE
Publish DateJuly 03, 2024

Nick Dwork, PhD, and co-authors present a method that combines compressed sensing with parallel imaging that takes advantage of the structure of the sparsifying transformation.

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