Experimental carbothermal reduction of MgO at low pressure using concentrated solar energy by Puig J., Balat-Pichelin M.

Get full text

Modulation of staphylokinase-dependent plasminogen activation by mono- and divalent ions by Yarzábal A., Serrano R.L., Puig J.

Get full text

Posibles problemas de falta de objetividad, transparencia, doble publicación y autoría en el análisis coste-efectividad de celecoxib by Peiró S., Meneu R., Ortún V., Puig J.

Get full text

Non-Native freshwater fish management in Biosphere Reserves by PUIG, J, PINO-DEL-CARPIO, A, MIRANDA, R

Get full text

UROMODULIN mutations cause familial juvenile hyperuricemic nephropathy. by Turner, J, Stacey, J, Harding, B, Kotanko, P, Lhotta, K, Puig, J, Roberts, I, Torres, R, Thakker, R

Genetic mapping studies of familial juvenile hyperuricemic nephropathy on chromosome 16p11-p13. by Stacey, J, Turner, J, Harding, B, Nesbit, M, Kotanko, P, Lhotta, K, Puig, J, Torres, R, Thakker, R

Influence of immune activation and inflammatory response on cardiovascular risk associated with the human immunodeficiency virus by Beltrán LM, Rubio-Navarro A, Amaro-Villalobos JM, Egido J, García-Puig J, Moreno JA

Get full text

Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain by Recalde M, Manzano-Salgado CB, Díaz Y, Puente D, Garcia-Gil MDM, Marcos-Gragera R, Ribes-Puig J, Galceran J, Posso M, Macià F, Duarte-Salles T

Get full text

Genome-wide study of familial juvenile hyperuricaemic (gouty) nephropathy (FJHN) indicates a new locus, FJHN3, linked to chromosome 2p22.1-p21. by Piret, SE, Danoy, P, Dahan, K, Reed, A, Pryce, K, Wong, W, Torres, R, Puig, J, Müller, T, Kotanko, P, Lhotta, K, Devuyst, O, Brown, M, Thakker, R

Genome-wide study of familial juvenile hyperuricaemic (gouty) nephropathy (FJHN) indicates a new locus, FJHN3, linked to chromosome 2p22.1-p21 by Piret, SE, Danoy, P, Dahan, K, Reed, A, Pryce, K, Wong, W, Torres, R, Puig, J, Müller, T, Kotanko, P, Lhotta, K, Devuyst, O, Brown, M, Thakker, R

Federated learning enables big data for rare cancer boundary detection by Pati, S, Baid, U, Edwards, B, Sheller, M, Wang, S-H, Reina, GA, Foley, P, Gruzdev, A, Karkada, D, Davatzikos, C, Sako, C, Ghodasara, S, Bilello, M, Mohan, S, Vollmuth, P, Brugnara, G, Preetha, CJ, Sahm, F, Maier-Hein, K, Zenk, M, Bendszus, M, Wick, W, Calabrese, E, Rudie, J, Villanueva-Meyer, J, Cha, S, Ingalhalikar, M, Jadhav, M, Pandey, U, Saini, J, Garrett, J, Larson, M, Jeraj, R, Currie, S, Frood, R, Fatania, K, Huang, RY, Chang, K, Balaña, C, Capellades, J, Puig, J, Trenkler, J, Pichler, J, Necker, G, Haunschmidt, A, Meckel, S, Shukla, G, Liem, S, Alexander, GS, Lombardo, J, Kamnitsas, K