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Lab Goals: 3D image-based computer modeling of pediatric hearts and valves to inform precision medicine and intervention. PI: Matthew A. Jolley.

Philadelphia, PA
Joined October 2021
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Jolley Lab retweeted
Every child’s heart is different. The way doctors plan their care should account for that. At @ChildrensPhila, open source AI turns existing CT scans, MRIs and 3D ultrasounds into precise models of a child’s heart. A process that once required 6+ hours of manual modeling can now be completed in seconds. Built on MONAI, an open source medical imaging framework cofounded by NVIDIA, the models help doctors compare how different devices could fit and plan around each child’s unique anatomy before a procedure. Read more: blogs.nvidia.com/blog/childr…
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Welcome @WensiWu, Research Assistant Professor in @MEAM_Penn. Driven by a passion for modeling real-world mechanics, Wu uses digital twins to explore the human heart, personalizing cardiac diagnosis & surgery. bit.ly/4l7fHlT
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🏆Congratulations to Amanda Randles on receiving the 2023 #ACMPrize in Computing! Randles is recognized for her groundbreaking contributions to computational health through innovative algorithms, tools, and high-performance computing methods. Learn more: bit.ly/43oBu0D
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Learn more about how Clinical Futures' core faculty members, Drs. O'Byrne & Ruppel, are investigating skin color bias in pulse oximetry measurements to improve clinician decision-making & reduce disparities & inequities in healthcare: bit.ly/43wtvyY
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A new @NIH-funded study led by @ChildrensPhila aims to better understand the relationship between skin color & pulse oximeter accuracy to improve and inform clinicians' decision-making. Learn more on Cornerstone: ms.spr.ly/6013cctTH #HealthEquity #ChildrensHealth
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The mitral valve annuli of 100 children and young adults with normal findings on three-dimensional echocardiography were modeled in four different cardiac phases using the SlicerHeart extension for 3D Slicer. Read our @JournalASEcho article: bit.ly/3Uxts3j
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💻 We want your input! Respond to the Request for Information (RFI) on best practices for sharing NIH-supported research software. Help shape NIH's guidance on software development and sharing. Respond by Feb. 1, 2024. #ResearchSoftware #DataScience bit.ly/3M22jAt
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Interested in applying for a PhD in Bioengineering? Join @Penn_GABE for a virtual open house on Tuesday, November 14th. #PennBioengineering #BioMedicalEngineering Register here: bit.ly/3FEGseQ
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The renewal application for NIH grant that supports FEBio development will be submitted for Nov 5 deadline. If you are willing to contribute a letter of support, please message us. Also, if you use FEBio for teaching, we would love to hear from you!
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