Lab News

Digital Twin opinion piece live

February 3, 2023

Randles's latest opinion piece on creating digital twin for use in healthcare is now live on healthtechnology.net and [...]

Machine Learning with Heart: Article on RTInsights.com

January 24, 2023

Guest article discussing our work combining machine learning and physics-based modeling to target cardiovascular disease is available at RTInsights.com.

Sayan completed his thesis proposal/progress report

January 10, 2023

PhD candidate Sayan Roychowdhury completed his thesis proposal/progress report, leaving him one step closer to his defense. Congratulations Sayan!

Our work quantifying the effect of constitutive law on modeling RBC response to large strain is published

January 3, 2023

Marianna and John's paper quantifying the effect of three common constitutive laws for modeling erythrocyte membrane response to large strains is published in Computers & Mathematics with Applications.  

Guest article on machine learning live on Healthcare Weekly

December 16, 2022

Our lab is excited for the potential shown by applying machine learning to improve different stages of medical care from diagnosis to intervention.  Read more in a recent guest post invited at Healthcare [...]

ML giving treatment planning a boost

December 15, 2022

Professor Randles's article in Nashville Medical News provides on overview of how machine learning is being used to improve treatment planning. 

Research minimizing governing parameters needed for FFR clinical accuracy published in Frontiers in Medical Technology

December 8, 2022

Our latest manuscript on cardiovascular hemodynamics just came out in Frontiers of Medical Technology.

Randles article on machine learning at Troy Media

December 8, 2022

Randles contributed an article to Troy Media entitled 'How machine learning can produce better health outcomes'.

DOE INCITE Award to support 800k node-hours at ORNL

December 2, 2022

We are pleased to announce that we've received a DOE INCITE award providing critical compute time to support our research developing digital twins of [...]

Professor Randles presents at the UT Center for Computational Oncology

October 20, 2022

Professor Randles presented a talk entitled "Establishing high-resolution digital twins to both study cancer cell transport and optimize treatment strategies" at the Center for Computational Oncology at the Oden Institute for Computational Engineering [...]

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