Regenerative medicine in the treatment of idiopathic pulmonary fibrosis: current position

Autor: Álvarez D, Levine M, Rojas M

Publikováno v: Stem Cells and Cloning: Advances and Applications, Vol 2015, Iss default, Pp 61-65 (2015)

Diana Álvarez,1,2 Melanie Levine,1 Mauricio Rojas1–3 1Dorothy P and Richard P Simmons Center for Interstitial Lung Disease, 2Pulmonary, Allergy, and Critical Care Medicine, 3McGowan Institute for Regenerative Medicine, University of Pittsburgh Med

Externí odkaz: https://doaj.org/article/517cbed9b1b74d7584fd16df60f4dc27

Immunovirological status in people with perinatal and adult-acquired HIV-1 infection: a multi-cohort analysis from France

Autor: Aumaitre, H., Froguel, E., Caby, F., Dellion, S., Gerard, L., Lucht, F., Chirouze, C., Dupon, M., Schmit, Jl, Goujard, C., Allegre, T., Cazenave, B., Hittinger, G., De Truchis, P., Cailhol, J., Duvivier, C., Canestri, A., Bouchaud, O., Karmochkine, M., Salmon-Ceron, D., Zucman, D., Mortier, E., Tubiana, R., Girard, P.M., Pintado, C., Cabie, A., Rabier, V., Morlat, P., Neau, D., Genet, C., Makhloufi, D., Ronot, S Bregigeon, Ghosn, J., Reliquet, V., Perré, P., Pellegrin, Jl, Arvieux, C., Cheneau, C., Bernard, L., Delobel, P., Verdon, R., Jacomet, C., Piroth, L., Ajana, F., Bevilacqua, S., Debab, Y., Lecapitaine, A.L., Cotte, L., Mokhtari, S., Mercie, P., Poubeau, P., Garrait, V., Khuong, Ma, Beck-Wirth, G., Blum, L., Blanche, S., Boccara, F., Prazuck, T., Barbuat, C., Viard, J.P., Stegmann-Planchard, S., Martha, B., Treluyer, J.M., Dore, E., Gaud, C., Niault, M., Fernandes, E., Hitoto, H., Compagnucci, A., Elenga, N., Faye, A., Dollfus, C., Chace, A., Levine, M., Martha, S.A., Floch-Tudal, C., Kebaïli, K., Entz-Werle, N., Tricoire, J., Mazingue, F., Bolot, P., Brazille, P., Goetghebuer, T., Gennotte, A.F., Van Der Linden, D., Schmitz, V., Moutschen, M., Crenn-Hebert, C., Habibi, F., Coursol, A., Guesdon, E., Ceccaldi, P.F., Dehlinger – Paul, M., Pannier, E., Marcou, V., Elleau, C., Achkar, M., Vareil, M.O., Couderc, S., Routier, C., Bouldouyre, M.A., Selleret, L., Chabrol, A., Bellahcene, C., Pluchart, C., Yangui, A., Vignes, D., Alissa, A., Johnson, A., Lachassinne, E., Benbara, A., Karaoui, L., Bongain, A., Yakeu, B., Schmit, J.L., Cravello, L., Hubert, C., Faucher, P., Pinquier, D., Borie, C., Rocchi, D., Brunet-Cartier, C., Briandet, C., Brouard, J., Chalvon-Demersay, A., Rajguru, M., Billiemaz, K., Fresard, A., Moulin, A., Fialaire, P., Mesnard, L., Werner, E., Vintejoux, E., Marian, J., Ranaivojaona, S., Bissuel, F., Abdelhadi, M., Hammou, Y., Genet-Villeger, C., Hatchuel, Y., Bachelard, G., Medus, M., Dendale – Nguyen, J., Guimard, T.S., Martha, A., Rouha, M., Perfezou, P., De Saint Martin, L., Jaffuel, S., Buzele, R., Gousseff, M., Cudeville, C., Vitrat, V., Michau, C., Palenzuela, G., Driessen, M., Heller-Roussin, B., Labaune, J.M., Muanza, B., Massardier, J., Partisani, M., Hau, I., Runel-Belliard, C., Brehin, C., Kebaili, K., Lalande, M., Lagree, M., Lacombe, K., Molina, J.-M., Reynes, J., Robineau, O., Raffi, F., Becker, A., Weiss, L., Allègre, T., Pialoux, G., Souala, F., Rami, A., Katlama, C., Cabié, A., Viard, J.-P., Bastides, F., Michel, C., Salmon, D., Lièvre, J-D Le, Sotto, A., Rouveix, E., Naqvi, A., Brégigeon, S., Rodet, R., Simon-Coutelier, A., Esnault, J.-L., Buzelé, R., Stein, A., Godin-Colet, C., Pichancourt, G., Caraux-Paz, P., Zadeh, M Mohseni, Gérard, L., Lascaux-Cametz, C., Bodard, L., Pellegrin, J.-L., Ettahar, N., Uludag, A., Rosenthal, E., Prevoteau du Clary, F., Jaureguiberry, S., Philibert, P., Lecapitaine, A.-L., Chakvetadze, E., Champagne, H., Daneluzzi, V., Goupil de Bouillé, J., Leprêtre, A., Lamaury, I., Darasteanu, I., Abraham, B., Garipuy, D., Berger, J.-L., Schmit, J.-L., Diallo, K., Gourdon, F., Vaillant, O., Gaborieau, V., Doll, J., Quinsat, D., Geffray, L., Girard, J.-J., Houlbert, D., Perronne, V., Klement, E., Antioniotti, O., Rouzioux, C., Avettand-Fenoel, V., Lortholary, O., Boucly, S., Maignan, A., Thiebaut, R., Meyer, L., Boufassa, F., Charles, M.A., Dray-Spira, R., Legeai, C., Amon, V., Benammar, N., Seng, R., Slama, L., Bonnard, P., Chakvetadze, C., L’Yavanc, T., Capeau, J., Vigouroux, C., Fellahi, S., Bastard, J.P., Oksenhendler, E., Bourge, J.F., Bajzik, V., Sereni, D., Lascoux-Combe, C., Taulera, O., Dien, L.V., Delgado, J., Molina, J.M., Saint-Marc, T., Ferret, S., Pavie, J., Bergmann, J.F., Parrinello, M., BLefebvre, Boudraa, C., Diallo, B., Lupin, C., Herson, S., Simon, A., Edeb, N., Guillevin, L., Tahi, T., Pietri, M.P., Tisne-Dessus, D., Jalbert, C., Yeni, P., Matheron, S., Pahlavan, G., Phung, B., El-Alami Talbi, N., Ramani, Z., Catalano, G., Godard, C., Boue, F., Chambrin, V., Bornarel, D., Schoen, H., Carlier, R., Fantin, B., Poder, C., Dhote, R., Bentata, M., Honore, P., Tuyet, Xuan, Delfraissy, J.F., Chaix, F., Rannou, M.T., Levy, Y., Sobel, A., Dumont, C., Abel, S., Pierre-François, S., Beaujolais, V., Poizot-Martin, I., Zaegel-Faucher, O., Debreux, C., Moreau, J., Van Der Gheynst, E., Thiebaut-Drobacheff, M.C., Foltzer, A., Hoen, B., Faucher, J.F., Gil, H., Ragnaud, J.M., Raymond, I., Louis, I., Hessamfar, M., Baillat, V., De Boever, C Merle, Tramoni, C., Soufflet, A., Guadagnin, P., Choutet, P., Mounoury, O., Brosseau, D., Hue, H., May, T., Wassoumbou, S., Stenzel, M., Bouillon, M.P., Yazdanpanah, Y., Huleux, T., Aissi, E., Pavel, S., Rey, D., Fischer, P., Blaison, G., Martinot, M., Pachart, A., Jeanblanc, F., Touraine, J.L., Trepo, C., Miailhes, P., Kouadjo, K., Thoirain, V., Brochier, C., Perre, P., Leautez, S., Esnault, J.L., Suaud, I., Seng, Rémonie, Frange, Pierre, Faye, Albert, Dollfus, Catherine, le Chenadec, Jérôme, Boufassa, Faroudy, Essat, Asma, Goetghebuer, Tessa, Arezes, Elisa, Avettand-Fènoël, Véronique, Bigna, Jean-Joël, Blanche, Stéphane, Goujard, Cécile, Meyer, Laurence, Warszawski, Josiane, Viard, Jean-Paul

Publikováno v: In The Lancet Regional Health - Europe May 2024 40

The Parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems

Autor: Albers, DJ, Levine, M, Mamykina, L, Hripcsak, G

One way to interject knowledge into clinically impactful forecasting is to use data assimilation, a nonlinear regression that projects data onto a mechanistic physiologic model, instead of a set of functions, such as neural networks. Such regressions

Externí odkaz: http://arxiv.org/abs/1902.01978

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Estrogen Withdrawal Increases Postpartum Anxiety via Oxytocin Plasticity in the Paraventricular Hypothalamus and Dorsal Raphe Nucleus

Autor: Hedges, Valerie L., Heaton, Elizabeth C., Amaral, Claudia, Benedetto, Lauren E., Bodie, Clio L., D’Antonio, Breanna I., Davila Portillo, Dayana R., Lee, Rachel H., Levine, M. Taylor, O’Sullivan, Emily C., Pisch, Natalie P., Taveras, Shantal, Wild, Hannah R., Grieb, Zachary A., Ross, Amy P., Albers, H. Elliott, Been, Laura E.

Publikováno v: In Biological Psychiatry 1 May 2021 89(9):929-938