October 1, 2020 — In the months since March 2020, the biotech community has rallied to identify how our unique perspectives and skills can help with the COVID-19 pandemic. The computational biologists at QuartzBio are no different. QuartzBio’s Renee Deehan discusses how using existing published data to build a disease model can answer questions and assist researchers in the fight against COVID-19. Read the article today.
In the months since March 2020, the biotech community has rallied to identify how our unique perspectives and skills can help with the COVID-19 pandemic. The computational biologists at QuartzBio are no different. QuartzBio’s Renee Deehan discusses how using existing published data to build a disease model can answer questions and assist researchers in the fight against COVID-19. Read the article today.
“There’s plenty of things that are necessary that I cannot do—like be a physician in the ER,” Renée Deehan-Kenney told Bio-IT World, but while doctors treated patients, researchers have been busy generating new data. “Science can sometimes be a very closed competitive world, [but] the speed and the volume with which people were really publishing data and papers or preprints around all of this was fantastic!” she said.
Deehan-Kenney is vice president of computational biology at Precision Medicine Group’s QuartzBio team. QuartzBio is the biomarker data science element of Precision Medicine Group, she explains. Datasets are the raw material at QuartzBio, so although the research team wasn’t generating their own COVID-19 data, the collaborative culture was generating and sharing raw data to play with.
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Author: Allison Proffitt
