Allogeneic transplantation in advanced cutaneous T-cell lymphomas (CUTALLO): a propensity score matched controlled prospective study
de Masson, A., Beylot-Barry, M., Ram-Wolff, C., Mear, J. B., Dalle, S., d’Incan, M., Ingen-Housz-Oro, S., Orvain, C., Abraham, J., Dereure, O., Charbonnier, A., Cornillon, J., Longvert, C., Barete, S., Boulinguez, S., Wierzbicka-Hainaut, E., Aubin, F., Rubio, M. T., Bernard, M., Schmidt-Tanguy, A., … Société Française de Greffe de Moëlle et Thérapie Cellulaire (2023). Allogeneic […]
Artificial intelligence-enabled predictive model of progression from moderate to severe aortic stenosis
Moualla, S.K., McCarthy, P.M., Thomas, J.D., Dobbles, M., Petrescu, O.M., Loper, T., Barnhart, G.R., Brennan, J.M. (2022). Artificial intelligence-enabled predictive model of progression from moderate to severe aortic stenosis. Intelligence-Based Medicine, 6, 100062. https://doi.org/10.1016/j.ibmed.2022.100062. View article Abstract Progression from moderate to severe aortic stenosis (AS) warrants careful monitoring due to the increased risk of sudden […]