Elizabeth M. Cherry
News
July 2023
- Accepted for publication: Arantes Berg L, Martins Rocha B, Sachetto Oliveira R, Sebastian R, Rodriguez B, Alves Bonfim de Queiroz R, Cherry EM, Weber dos Santos R.
Enhanced optimization-based method for the generation of patient-specific models of Purkinje networks.
Scientific Reports 2023, in press.
June 2023
- Our group had four abstracts accepted for the Computing in Cardiology Conference in October 2023, including as authors current students Darby Cairns and Max Comstock as well as graduates Shoale Badr and Shah Shahi. Congratulations!
May 2023
- New Ph.D. student Nikou Sefat joined our group. Welcome, Nikou!
- Darby Cairns presented "Forecasting cardiac dynamics using reservoir computing: Effect of training data length on prediction length and quality"
at the SIAM Conference on Applications of Dynamical Systems, Portland, OR.
- Max Comstock presented "Speeding up cardiac simulations with parallel-in-time methods"
at the SIAM Conference on Applications of Dynamical Systems, Portland, OR.
- Elizabeth Cherry co-organized a three-part minisymposium on "Nonlinear Dynamics of the Heart"
and presented "Predicting complex spatiotemporal electrical dynamics in live human hearts: a novel reservoir computing approach"
at the SIAM Conference on Applications of Dynamical Systems, Portland, OR.
- Two abstracts presented at
Heart Rhythm2023:
Long-time machine-learning prediction of complex spatiotemporal dynamics during fibrillation in live explanted pig and human hearts
and
Characterization of papillary muscle ablation with optical mapping at different transmural penetration depths in live human heart.
April 2023
- Shoale Badr successfully defended his M.S. thesis. Congratulations, Shoale!
- Elizabeth Cherry gave an invited plenary presentation on
"Machine-learning approaches for predicting cardiac voltage dynamics" at the
Nonlinear Data Analysis and Modeling: Advances, Applications, Perspectives Conference, Potsdam, Germany.
March 2023
- Elizabeth Cherry was part of a team that won the
Team Science Award of Distinction for Early Stage Research Teams,
Georgia Clinical and Translational Science Alliance.
February 2023
- Presented at the Biophysical Society Annual Meeting:
Reconstructing action potential and ionic current dynamics of a mammalian ventricular cell using data assimilation.
January 2023
- Published: Nieto Ramos A, Fenton FH, Cherry EM.
Bayesian inference for fitting cardiac models to experiments: Estimating parameter distributions using Hamiltonian Monte Carlo and Approximate Bayesian Computation.
Medical & Biological Engineering & Computing 2023; 61: 75-95.
November 2022
- Published and selected as feature article: He J, Pertsov AM, Cherry EM, Fenton FH, Roney C, Niederer S, Zhang Z, Mangharam R.
Fiber organization has little effect on electrical activation patterns during focal arrhythmias in the left atrium.
IEEE Transactions on Biomedical Engineering 2023; 70: 1611-1621.
October 2022
- Elizabeth Cherry gave a talk on "Machine-learning approaches for predicting cardiac voltage dynamics" at the College of Sciences Data Science seminar, Georgia Tech.
September 2022
- Published: Munoz LM, Ampofo MO, Cherry EM.
Controllability of voltage- and calcium-driven alternans in a cardiac ionic model.
Computing in Cardiology 2022; 498: 10081785.
August 2022
- Max Comstock was selected to be part of the NIH T32 InQuBATE Training Program inaugural class of trainees. Congratulations, Max!
- Published: Mendez MJ, Hoffman MJ, Cherry EM, Lemmon CA, Weinberg SH.
A data-assimilation approach to predict population dynamics during epithelial-mesenchymal transition.
Biophysical Journal 2022; 121: 3061-3080.
July 2022
- Max Comstock presented "Dynamics of large flocks of birds" at the SIAM Conference on the Life Sciences, Pittsburgh, PA.
- Elizbeth Cherry co-organized a two-part minisymposium on "Cardiac Modeling - Specialized Single Cell Models, from Subcellular Dynamics to Personalized Medicine"
and presented "Machine-learning approaches for predicting experimental cardiac voltage time series"
at the SIAM Conference on the Life Sciences, Pittsburgh, PA.
- Alejandro Nieto Ramos successfully defended his Ph.D. thesis. Congratulations, Alejandro!
- Shah Shahi successfully defended his Ph.D. thesis. Congratulations, Shah!
June 2022
- Selected as featured article! Shahi S, Fenton FH, Cherry EM.
A machine-learning approach for long-term prediction of experimental cardiac action potential time series using an autoencoder and echo state networks.
Chaos 2022; 32: 063117.
- Published: Shahi S, Fenton FH, Cherry EM.
Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study.
Machine Learning with Applications 2022; 8: 100300.
May 2022
- Max Comstock presented "Real-time interaction simulation of large bird flocks: Toward understanding murmuration" at the Biology and Medicine through Mathematics Conference, Richmond, VA.
- Five abstracts presented at
Heart Rhythm 2022:
Simultaneous optical mapping measurements of voltage and calcium in whole explanted human hearts,
First experimental observation of alternans-induced phase-2 reentry in Brugada syndrome by optical mapping on an explanted human heart, with numerical simulation validation,
Action potential restitution curves obtained from full explanted human hearts,
Optical mapping of explanted human hearts enables refined ionic models of action potential and conduction velocity restitution curves for arrhythmia simulation,
and
The spatiotemporal organization of ventricular fibrillation (vf) in explanted human hearts.
- Elizabeth Cherry participated as a selected participant in the Inclusive STEM Teaching Fellow program at Georgia Tech.
February 2022
January 2022
- Elizabeth Cherry co-organized Dynamics Days 2022, held virtually.
- Chris Marcotte presented "Predicting minimally invasive quenching of localized states in excitable media" at Dynamics Days 2022.
- Alejandro Nieto Ramos presented "Employing Gaussian process priors for studying spatial variation in parameter space for cardiac action potential models" at Dynamics Days 2022.
December 2021
- Darby Cairns successfully completed his qualifying exam. Congratulations, Darby!
- Max Comstock successfully completed his qualifying exam. Congratulations, Max!
- Published: Borah M, Das D, Gayan A, Fenton F, Cherry E.
Control and anticontrol of chaos in fractional-order models of Diabetes, HIV, Dengue, Migraine, Parkinson’s and Ebola virus diseases.
Chaos, Solitons and Fractals 2021; 153: 111419.
October 2021
- Elizabeth Cherry presented the seminar "Data-driven approaches for predicting and recontructing cardiac electrical dynamics" at
the Florida State University.
September 2021
- Published: Shahi S, Marcotte CD, Herndon CJ, Fenton FH, Shiferaw Y, Cherry EM.
Long-time prediction of arrhythmic cardiac action potentials using recurrent neural networks and reservoir computing.
Frontiers in Physiology 2021; 12: 734178.
- Published: Nieto Ramos A, Herndon CJ, Fenton FH, Cherry EM.
Quantifying distributions of parameters for cardiac action potential models using the Hamiltonian Monte Carlo method.
Computing in Cardiology 2021; 48: 9662836.
- Published: Munoz LM, Ampofo MO, Cherry EM.
Empirical Gramian based controllability of alternans in a cardiac map model.
Computing in Cardiology 2021; 48: 9662867.
- Published: Kaboudian A, Cherry EM, Fenton FH.
Real-time interactive simulations of complex ionic cardiac cell models in 2D and 3D heart structures with GPUs on personal computers.
Computing in Cardiology 2021; 48: 9662759.
- Published: Berman JP, Kaboudian A, Uzelac I, Iravanian S, Iles T, Iaizzo PA, Lim H, Smolka S, Glimm J, Cherry EM, Fenton FH.
Interactive 3D human heart simulations on segmented human MRI hearts.
Computing in Cardiology 2021; 48: 9662948.
- Published: Iravanian S, Uzelac I, Cairns DI, Cherry EM, Kaboudian A, Fenton FH.
Unimapper: an online interactive analyzer/visualizer of optical mapping experimental data.
Computing in Cardiology 2021; 48: 9662942.
- Published: Ramirez Ortiz J, Kaboudian A, Uzelac I, Iravanian S, Cherry EM, Fenton FH.
Interactive simulation of the ECG: Effects of cell types, distributions, shapes and duration.
Computing in Cardiology 2021; 48: 9662928.
- Published: Uzelac I, Iravanian S, Cherry EM, Fenton FH.
Not all long-QTs are the same, Proarrhythmic quantification with action potential triangulation and alternans.
Computing in Cardiology 2021; 48: 9662721.
- Elizabeth Cherry gave a talk on "Data-driven approaches for predicting and recontructing cardiac electrical dynamics" at
the SIAM Southeastern Atlantic Section Conference.
August 2021
- Published: Uzelac I, Kaboudian A, Iravanian S, Siles-Paredes JG, Gumbart JC, Ashikaga H, Bhatia N, Gilmour RF Jr., Cherry EM, Fenton FH.
Quantifying arrhythmic long-QT effects of hydroxychloroquine and azithromycin with whole heart optical mapping and simulations.
Heart Rhythm O2 2021; 2: 394-404.
May 2021
- Max Comstock was awarded the Red Sock Best Poster award at the SIAM Conference on Applications of Dynamical Systems. Congratulations, Max!
"Simulating bird flocks using a distributed declarative model interactively with WebGL"
at the SIAM Conference on Applications of Dynamical Systems.
- Chris Marcotte presented
"Robust data assimilation with noise: Applications to cardiac dynamics"
at the SIAM Conference on Applications of Dynamical Systems.
- Alejandro Nieto presented
"Bayesian approaches for parameter estimation: Reproducing alternans dynamics in cardiac models"
at the SIAM Conference on Applications of Dynamical Systems.
- Shahrokh Shahi presented
"Cardiac action potential prediction using recurrent neural networks and reservoir computing techniques: A comparative study"
at the SIAM Conference on Applications of Dynamical Systems.
- Chris Marcotte organized the two-part minisymposium
"Applied Cardiac Modeling: Individualized and Holistic Perspectives on Arrhythmias"
at the SIAM Conference on Applications of Dynamical Systems
- Published: Belletti R, Romero L, Martinez-Mateu L, Cherry EM, Fenton FH, Saiz J.
Arrhythmogenic effects of genetic mutations affecting potassium channels in human atrial fibrillation: a simulation study.
Frontiers in Physiology 2021; 12: 681943.
April 2021
- Chris Marcotte was awarded the Georgia Tech College of Computing Outstanding Post-Doctoral Research Award!
See announcement here.
Congratulations, Chris!
- Max Comstock received a Travel Award to attend the SIAM Conference on Applications of Dynamical Systems. Congratulations, Max!
- Chris Marcotte received a Travel Award to attend the SIAM Conference on Applications of Dynamical Systems. Congratulations, Chris!
- Alejandro Nieto Ramos received a Travel Award to attend the SIAM Conference on Applications of Dynamical Systems. Congratulations, Alejandro!
- Shahrokh Shahi received a Travel Award to attend the SIAM Conference on Applications of Dynamical Systems. Congratulations, Shah!
- Elizabeth Cherry presented the seminar "Data assimilation for reconstructing cardiac electrical dynamics" at the University of Colorado at Boulder (Applied Mathematics).
March 2021
- Chris Marcotte presented "Robust data assimilation with noise: Applications to cardiac dynamics" at the SIAM Conference on Computational Science and Engineering.
- Shahrokh Shahi presented "Robust reservoir computing approaches for predicting cardiac wave dynamics" at the SIAM Conference on Computational Science and Engineering.
- Elizabeth Cherry presented the seminar "Data assimilation approaches for reconstructing cardiac electrical dynamics" at Kings College London.
February 2021
January 2021
- Published: Marcotte CD, Fenton FH, Hoffman MJ, Cherry EM. Robust data assimilation with noise: Applications to cardiac dynamics. Chaos 2021; 31: 013118.