Efficient Computational Modeling of Human Ventricular Activation and Its Electrocardiographic Representation: A Sensitivity Study

por Cranford, Jonathan P., O’Hara, Thomas J., Villongco, Christopher T., Hafez, Omar M., Blake, Robert C., Loscalzo, Joseph, Fattebert, Jean-Luc, Richards, David F., Zhang, Xiaohua, Glosli, James N., McCulloch, Andrew D., Krummen, David E., Lightstone, Felice C., Wong, Sergio E.
Publicado 2018

Machine Learning-Driven Multiscale Modeling: Bridging the Scales with a Next-Generation Simulation Infrastructure

por Ingólfsson, Helgi I., Bhatia, Harsh, Aydin, Fikret, Oppelstrup, Tomas, López, Cesar A., Stanton, Liam G., Carpenter, Timothy S., Wong, Sergio, Di Natale, Francesco, Zhang, Xiaohua, Moon, Joseph Y., Stanley, Christopher B., Chavez, Joseph R., Nguyen, Kien, Dharuman, Gautham, Burns, Violetta, Shrestha, Rebika, Goswami, Debanjan, Gulten, Gulcin, Van, Que N., Ramanathan, Arvind, Van Essen, Brian, Hengartner, Nicolas W., Stephen, Andrew G., Turbyville, Thomas, Bremer, Peer-Timo, Gnanakaran, S., Glosli, James N., Lightstone, Felice C., Nissley, Dwight V., Streitz, Frederick H.
Publicado 2023

Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins

por Ingólfsson, Helgi I., Neale, Chris, Carpenter, Timothy S., Shrestha, Rebika, López, Cesar A., Tran, Timothy H., Oppelstrup, Tomas, Bhatia, Harsh, Stanton, Liam G., Zhang, Xiaohua, Sundram, Shiv, Di Natale, Francesco, Agarwal, Animesh, Dharuman, Gautham, Kokkila Schumacher, Sara I. L., Turbyville, Thomas, Gulten, Gulcin, Van, Que N., Goswami, Debanjan, Jean-Francois, Frantz, Agamasu, Constance, Chen, De, Hettige, Jeevapani J., Travers, Timothy, Sarkar, Sumantra, Surh, Michael P., Yang, Yue, Moody, Adam, Liu, Shusen, Van Essen, Brian C., Voter, Arthur F., Ramanathan, Arvind, Hengartner, Nicolas W., Simanshu, Dhirendra K., Stephen, Andrew G., Bremer, Peer-Timo, Gnanakaran, S., Glosli, James N., Lightstone, Felice C., McCormick, Frank, Nissley, Dwight V., Streitz, Frederick H.
Publicado 2022