Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Juan Francisco, Morales"'
Autor:
Juan Francisco Morales, Marian Klose, Yannick Hoffert, Jagdeep T. Podichetty, Jackson Burton, Stephan Schmidt, Klaus Romero, Inish O'Doherty, Frank Martin, Martha Campbell‐Thompson, Michael J. Haller, Mark A. Atkinson, Sarah Kim
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 13, Iss 8, Pp 1309-1316 (2024)
Abstract Clinical trials seeking to delay or prevent the onset of type 1 diabetes (T1D) face a series of pragmatic challenges. Despite more than 100 years since the discovery of insulin, teplizumab remains the only FDA‐approved therapy to delay pro
Externí odkaz:
https://doaj.org/article/8b4ca31b57414e94973b9675f895a590
Autor:
Arteaga, Juan Francisco Morales, Vodnik, Dominik, Kastelec, Damijana, Zupanc, Mojca, Dular, Matevž, Ortar, Jernej, Đurić, Marija, Kaurin, Anela, Mihelic, Rok, Lestan, Domen
Publikováno v:
In Science of the Total Environment 1 May 2024 923
Autor:
Sarah Kim, Rebecca J. Willcocks, Michael J. Daniels, Juan Francisco Morales, Deok Yong Yoon, William T. Triplett, Alison M. Barnard, Daniela J. Conrado, Varun Aggarwal, Ramona Belfiore‐Oshan, Terina N. Martinez, Glenn A. Walter, William D. Rooney, Krista Vandenborne
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 12, Iss 10, Pp 1437-1449 (2023)
Abstract Although regulatory agencies encourage inclusion of imaging biomarkers in clinical trials for Duchenne muscular dystrophy (DMD), industry receives minimal guidance on how to use these biomarkers most beneficially in trials. This study aims t
Externí odkaz:
https://doaj.org/article/4d70ad360e114fe3be45ffb256d0e944
Autor:
Juan Francisco Morales, Rhoda Muse, Jagdeep T. Podichetty, Jackson Burton, Sarah David, Patrick Lang, Stephan Schmidt, Klaus Romero, Inish O'Doherty, Frank Martin, Martha Campbell‐Thompson, Michael J. Haller, Mark A. Atkinson, Sarah Kim
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 12, Iss 7, Pp 1016-1028 (2023)
Abstract Clinical trials seeking type 1 diabetes prevention are challenging in terms of identifying patient populations likely to progress to type 1 diabetes within limited (i.e., short‐term) trial durations. Hence, we sought to improve such effort
Externí odkaz:
https://doaj.org/article/f29e4953b25f4d88b03fbbb1b32d2233
Publikováno v:
In Chemosphere November 2022 307 Part 2
Autor:
Karthik Lingineni, Varun Aggarwal, Juan Francisco Morales, Daniela J. Conrado, Diane Corey, Camille Vong, Jackson Burton, Jane Larkindale, Klaus Romero, Stephan Schmidt, Sarah Kim, the Cooperative International Neuromuscular Research Group investigators and Duchenne Regulatory Science Consortium members
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 11, Iss 3, Pp 318-332 (2022)
Abstract Early clinical trials of therapies to treat Duchenne muscular dystrophy (DMD), a fatal genetic X‐linked pediatric disease, have been designed based on the limited understanding of natural disease progression and variability in clinical mea
Externí odkaz:
https://doaj.org/article/9a5c7e29fe9d4a999c3b88d80d68d01e
Publikováno v:
Acta Agriculturae Slovenica, Vol 118, Iss 4 (2022)
Odpadno blato iz čistilnih naprav (ČN) ima zaradi velike hranilne vrednosti potencial za uporabo v kmetijstvu, vendar je pogosto onesnaženo s potencialno strupenimi kovinami (PSK). V raziskavi smo preverili ali ReSoil® tehnologija, ki temelji na
Externí odkaz:
https://doaj.org/article/fa62d549bc1b489c806f385c3877f23c
Autor:
Juan Francisco Morales, Alejandro Jankelevich, Héctor Lacassie, Diana Carolina Carmona, Claudio Nazar
Publikováno v:
Revista Chilena de Anestesia, Vol 49, Iss 3, Pp 317-321 (2020)
Externí odkaz:
https://doaj.org/article/c1ca27e52f604f35b51ce453d830015c
Autor:
Alan Talevi, Juan Francisco Morales, Gregory Hather, Jagdeep T. Podichetty, Sarah Kim, Peter C. Bloomingdale, Samuel Kim, Jackson Burton, Joshua D. Brown, Almut G. Winterstein, Stephan Schmidt, Jensen Kael White, Daniela J. Conrado
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 9, Iss 3, Pp 129-142 (2020)
Artificial intelligence, in particular machine learning (ML), has emerged as a key promising pillar to overcome the high failure rate in drug development. Here, we present a primer on the ML algorithms most commonly used in drug discovery and develop
Externí odkaz:
https://doaj.org/article/d5208d0836bd4fb5b198a9feaf57dd9b
Publikováno v:
Acta Botânica Brasílica, Vol 34, Iss 1, Pp 107-116 (2019)
ABSTRACT Two new species of Mandevilla endemic to inselbergs of the state of Espírito Santo, Brazil, are described. Mandevilla alata resembles M. callista but differs by having winged stems, shorter petioles, shorter pedicels, and a white corolla wi
Externí odkaz:
https://doaj.org/article/924f27c8b071457fa40278ab213e6bb5