IUS Publications

Found 2 results
Filters: Author is Satagopam, Venkata  [Clear All Filters]
2024
Y. Devaux, Zhang, L., Lumley, A. I., Kanita, K., Mooser, V., Rousseau, S., Shoaib, M., Satagopam, V., Adilović, M., Srivastava, P. Kumar, Emanueli, C., Martelli, F., Greco, S., Badimon, L., Padro, T., Lustrek, M., Scholz, M., Rosolowski, M., Jordan, M., Brandenburger, T., Benczik, B., Ágg, B., Ferdinandy, P., Vehreschild, J. Janne, Lorenz-Depiereux, B., Dörr, M., Witzke, O., Sanchez, G., Kul, S., Baker, A. H., Fagherazzi, G., Ollert, M., Wereski, R., Mills, N. L., and Firat, H., “Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortalityAbstract”, Nature Communications, vol. 15, no. 1, 2024.
2021
L. Badimon, Robinson, E. L., Jusic, A., Carpusca, I., deWindt, L. J., Emanueli, C., Ferdinandy, P., Gu, W., Gyöngyösi, M., Hackl, M., Karađuzović-Hadžiabdić, K., Lustrek, M., Martelli, F., Nham, E., Potočnjak, I., Satagopam, V., Schneider, R., Thum, T., and Devaux, Y., “Cardiovascular RNA markers and artificial intelligence may improve COVID-19 outcome: a position paper from the EU-CardioRNA COST Action CA17129Abstract”, Cardiovascular Research, vol. 117, no. 8, pp. 1823 - 1840, 2021.