Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Debora M. Nazato"'
Autor:
Debora M. Nazato, Evandro Portes, C. Marques, Paula Conde Lamparelli Elias, Nina R. C. Musolino, B. G. Sant’ Anna, Marcello D. Bronstein, Cesar Luiz Boguszewski, Mauro Antonio Czepielewski, M. L. C. Fontana, Ruy Lyra, Miguel Franklin de Castro, C. Bueno, Vania dos Santos Nunes-Nogueira, Lucio Vilar, Mônica R. Gadelha, Julio Abucham, Manoel Ricardo Alves Martins, Ana Rosa Pinto Quidute, Antônio Ribeiro-Oliveira, Heraldo Mendes Garmes, Andrea Glezer, Rossana Pulcineli Vieira Francisco
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2020-12-12T02:23:37Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-04-01 Objective: To evaluate the maternal–fetal outcomes of CAB-induced pregnancies in patients with prolactinoma in a large cohort. Methods: The
Autor:
Martha K.P. Huayllas, Tânia Longo Mazzuco, Renan Lyra Miranda, Mônica R. Gadelha, Tobias Skrebsky de Almeida, Antônio Ribeiro-Oliveira, Ana Beatriz Winter Tavares, Julio Abucham, Debora M. Nazato, Cesar Luiz Boguszewski, Margaret de Castro, Leila Chimelli, Marcello D. Bronstein, Aline Helen da Silva Camacho, Evandro Portes, Mauro Antonio Czepielewski, Jose Italo S Mota, Paula Conde Lamparelli Elias, Nina R. C. Musolino, Luiz Eduardo Wildemberg, Lucio Vilar, Vania dos Santos Nunes-Nogueira, Carolina Garcia Soares Leães Rech, Leandro Kasuki, Raquel S. Jallad, Nelma Veronica Marques
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2022-04-29T08:29:59Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-07-01 Context: Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-gen
Autor:
Priscila Regina Torres Bueno, Debora M. Nazato, Fernando Fernandes, Renato Hideo Nakagawa Santos, Julio Abucham, Lucas P. Damiani, Alessandra Gorgulho, Antonio A.F. De Salles, Alexandre Biasi, Camila M. R. Lasagno, Juliana D Oliveira, Daniel A N Barbosa, Abrão Cury, Ronaldo Rossi
Publikováno v:
Neurosurgery. 83:800-809
BACKGROUND Human morbid obesity is increasing worldwide in an alarming way. The hypothalamus is known to mediate its mechanisms. Deep brain stimulation (DBS) of the ventromedial hypothalamus (VMH) may be an alternative to treat patients refractory to
Autor:
Olivia Faria, Daniel Gomes Henriques, Mônica R. Gadelha, Julio Abucham, Leila Chimelli, Luiz Eduardo Wildemberg, Lucio Vilar, Martha K.P. Huayllas, Leandro Kasuki, Margaret de Castro, Debora M. Nazato, Paula Conde Lamparelli Elias, Nina R. C. Musolino, Carlos Henrique de Azeredo Lima, Aline Helen da Silva Camacho, Jose Italo S Mota
Publikováno v:
Cancers
Volume 13
Issue 19
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Cancers, Vol 13, Iss 4857, p 4857 (2021)
Volume 13
Issue 19
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Cancers, Vol 13, Iss 4857, p 4857 (2021)
Background: It is still controversial if activating mutations in the stimulatory G-protein α subunit (gsp mutation) are a biomarker of response to first generation somatostatin receptor ligands (fg-SRL) treatment in acromegaly. Thus, we aimed to eva
Autor:
Alessandra Casagrande, Debora M. Nazato, Lucio Vilar, Mauro Antonio Czepielewski, Paula Conde Lamparelli Elias, Antônio Ribeiro-Oliveira, Aline Barbosa Moraes, Marcello D. Bronstein, Mônica R. Gadelha, Julio Abucham, Júnia R O L Schweizer, Artur Boschi, Margaret de Castro, Raquel S. Jallad
Publikováno v:
Neuroendocrinology. 104:273-279
Background: Long-term remission of acromegaly after somatostatin analog withdrawal has been reported in 18-42% of patients in studies with a relatively small number of patients using different inclusion and remission criteria. The objectives of this