🧵 In observance of International Day of Women and Girls in Science, we're highlighting a few #HopkinsEngineers at the forefront of the fight against COVID-19.

#WomenInScience #WomenInSTEM
. @TexasDownUnder was recognized as one of @TIME's 100 most influential people in the world for her work developing the COVID-19 Dashboard, a leading source of centralized data on the pandemic.

#WomenInScience #HopkinsEngineer https://hub.jhu.edu/2020/09/22/lauren-gardner-time-100-influential-people/
Lauren Gardner among 'TIME 100' most influential people in the world

Civil engineer recognized for her work developing the COVID-19 Dashboard, a leading source of centralized data on the coronavirus pandemic

https://hub.jhu.edu/2020/09/22/lauren-gardner-time-100-influential-people/
Ashley Newton (pictured; a @JohnsHopkinsEHE postdoc) was part of a cross-divisional Hopkins team working to design and test plans for a mass-producible reusable respirator mask.

Read more: https://hub.jhu.edu/2020/06/26/wse-manufacturing-respirator-mask/

#WomenInScience #HopkinsEngineer
. @helen_xun (MD candidate; @HopkinsMedicine) worked with #HopkinsEngineer researchers to design and develop 3D-printed ventilator splitters to help treat patients with acute respiratory distress syndrome caused by COVID-19.

Learn more: https://hub.jhu.edu/2020/04/02/3d-printed-ventilator-splitters-for-covid-19/

#WomenInScience
. @KimiaGhobadi is using data from hospital systems around the country to develop mathematical models that determine optimal resource allocation for pandemic response.

#WomenInScience #HopkinsEngineer https://hub.jhu.edu/2020/10/27/models-help-hospital-systems-allocate-resources-during-covid-19-surge/
New models can help hospitals stay ahead of COVID-19 surges

Optimization models will help hospital systems better manage critical resources if coronavirus cases spike this fall and winter

https://hub.jhu.edu/2020/10/27/models-help-hospital-systems-allocate-resources-during-covid-19-surge/
. @juliekshade—a doctoral student in @NTrayanova's lab— is the lead author of a paper highlighting a new algorithm that could warn doctors in advance of cardiac arrest or blood clots in hospitalized COVID-19 patients.

#WomenInScience #HopkinsEngineer https://hub.jhu.edu/2021/01/13/machine-learning-predicts-covid-related-cardiac-arrest/
Machine learning tool gives early warning of cardiac issues in COVID-19 patients

New algorithm could warn doctors in advance of cardiac arrest or blood clots in hospitalized COVID-19 patients

https://hub.jhu.edu/2021/01/13/machine-learning-predicts-covid-related-cardiac-arrest/
The pandemic sparked a new sense of urgency to expand access to at-home dialysis, and the #HopkinsEngineers behind @RelavoMedical are developing a product that reduces the risk of contamination during at-home treatments.

Read more: https://engineering.jhu.edu/magazine/2021/02/making-at-home-kidney-dialysis-safer/

#WomenInScience
Beyond @JohnsHopkins, women are researching vaccines, pioneering treatments, and inspiring girls to be forces of good in #STEM.

Meet some of the #WomenInScience leading us to a safer future. (h/t @UN_Women) https://un-women.medium.com/women-in-science-are-making-a-difference-during-the-pandemic-d3ecc3eb1ca9
Women in science are making a difference during the pandemic

Celebrate the women and girls around the world who have made tremendous contributions during the ongoing crisis.

https://un-women.medium.com/women-in-science-are-making-a-difference-during-the-pandemic-d3ecc3eb1ca9
You can follow @HopkinsEngineer.
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