Search
01/01/2023
Ambulatory blood pressure monitoring, an essential tool to identify blood pressure patterns in heart failure
de Juan Bagudá J., Rodríguez Chaverri A., Caravaca Pérez P., Aguilar-Rodríguez F., García-Cosío Carmena M.D., Mirabet Pérez S., López M.L., de La Cruz J., Guerra J.M., Segura J., Arribas Ynsaurriaga F., Ruilope L.M., Delgado Jiménez J.F.. Ambulatory blood pressure monitoring, an essential tool to identify blood pressure patterns in heart failure. REVISTA ESPANOLA DE CARDIOLOGIA. 2023; 76(11)DOI:10.1016/j.recesp.2023.02.018. PMID:. IF:(Q/D).
01/01/2023
The current clinical practice for management of post-infarction ventricular septal rupture: a European survey
Ronco D., Ariza-Solé A., Kowalewski M., Matteucci M., Di Mauro M., López-De-Sá E., Ranucci M., Sionis A., Bonaros N., De Bonis M., Russo C.F., Uribarri A., Montero S., Fischlein T., Kowalówka A., Naito S., Obadia J.-F., Martín-Asenjo R., Aboal J., Thielmann M., Simon C., Andrea-Riba R., Parra C., Folliguet T., Martínez-Sellés M., Fernández M.S., Al-Attar N., Tejedor A.V., Serraino G.F., Palacios V.B., Boeken U., Roubin S.R., Buceta M.A.S., Fernández P.L.S., Scrofani R., Báez G.P., Pérez P.J., Dato G.A., Garcia-Rubira J.C., De Gea Garcia J.H., Massimi G., Musazzi A., Lorusso R.. The current clinical practice for management of post-infarction ventricular septal rupture: a European survey. European Heart Journal Open. 2023; 3(5)DOI:10.1093/ehjopen/oead091. PMID:. IF:(Q/D).
01/01/2023
Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data
Baseer, I, Valverde, I, Moustafa, AH, Blat, J, Camara, O. Evaluation of cinematic volume rendering open-source and commercial solutions for the exploration of congenital heart data. Ieee Visualization Conference. 2023; DOI:10.1109/VIS54172.2023.00024. PMID:. IF:(Q/D).
01/01/2023
Development of a predictive model of venous thromboembolism recurrence in anticoagulated cancer patients using machine learning
Muñoz A.J., Souto J.C., Lecumberri R., Obispo B., Sanchez A., Aparicio J., Aguayo C., Gutierrez D., Palomo A.G., Fanjul V., del Rio-Bermudez C., Viñuela-Benéitez M.C., Hernández-Presa M.Á.. Development of a predictive model of venous thromboembolism recurrence in anticoagulated cancer patients using machine learning. THROMBOSIS RESEARCH. 2023; 228DOI:10.1016/j.thromres.2023.06.015. PMID:37348318. IF:3.700(Q1/3D).
01/01/2023
Methods for the identification and characterization of extracellular vesicles in cardiovascular studies: from exosomes to microvesicles
Davidson S.M., Boulanger C.M., Aikawa E., Badimon L., Barile L., Binder C.J., Brisson A., Buzas E., Emanueli C., Jansen F., Katsur M., Lacroix R., Lim S.K., Mackman N., Mayr M., Menasché P., Nieuwland R., Sahoo S., Takov K., Thum T., Vader P., Wauben, MHM, Witwer K., Sluijter, JPG. Methods for the identification and characterization of extracellular vesicles in cardiovascular studies: from exosomes to microvesicles. CARDIOVASCULAR RESEARCH. 2023; 119(1)DOI:10.1093/cvr/cvac031. PMID:35325061. IF:10.400(Q1/1D).
01/01/2023
Type 2 Diabetes in Obesity: A Systems Biology Study on Serum and Adipose Tissue Proteomic Profiles
Arderiu G., Mendieta G., Gallinat A., Lambert C., Díez-Caballero A., Ballesta C., Badimon L.. Type 2 Diabetes in Obesity: A Systems Biology Study on Serum and Adipose Tissue Proteomic Profiles. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. 2023; 24(1)DOI:10.3390/ijms24010827. PMID:36614270. IF:4.900(Q1/3D).