Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Regina C. Almeida"'
Autor:
Daniela S. Santurio, Emanuelle A. Paixão, Luciana R.C. Barros, Regina C. Almeida, Artur C. Fassoni
Chimeric Antigen Receptor (CAR)-T cell therapy long-term follow-up studies revealed non-durable remissions in a significant number of patients. Some of the mechanisms underlying these relapses include poor CAR T cell cytotoxicity or persistence, as w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::483cd150866d0a251de3a15fc649e2bd
https://doi.org/10.1101/2023.05.01.538974
https://doi.org/10.1101/2023.05.01.538974
Autor:
Regina C. Almeida, Emanuelle Arantes Paixão, Gustavo Taiji Naozuka, Maurício Pessoa da Cunha Menezes, Joao Vitor Oliveira Silva
Publikováno v:
Trends in Computational and Applied Mathematics. 22:495-514
Mathematical and computational modeling have been increasingly applied in many areas of cancer research, aiming to improve the understanding of tumorigenic mechanisms and to suggest more effective therapy protocols. The mathematical description of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8dae691dc7bd3f7211514814d53982b
https://doi.org/10.5540/tcam.2021.022.03.00495
https://doi.org/10.5540/tcam.2021.022.03.00495
Model selection for assessing the effects of doxorubicin on triple-negative breast cancer cell lines
Autor:
Anna Claudia M. Resende, Ernesto A. B. F. Lima, Regina C. Almeida, Matthew T. McKenna, Thomas E. Yankeelov
Publikováno v:
Journal of Mathematical Biology. 85
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e2fe30c59edb111edf0bb8499388759
https://doi.org/10.1007/s00285-022-01828-x
https://doi.org/10.1007/s00285-022-01828-x
Autor:
Diego Volpatto, Claudia Mazza Dias, Joao Vitor Oliveira Silva, L. dos Anjos, Anna Claudia M. Resende, Regina C. Almeida, Sandra M. C. Malta
Publikováno v:
Journal of Simulation. 17:178-192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69a00e0e166c8cde7a168216e7bddb6c
https://doi.org/10.1080/17477778.2021.1977731
https://doi.org/10.1080/17477778.2021.1977731
Publikováno v:
Computers & Mathematics with Applications. 98:1-9
This paper presents the numerical analysis for a variant of the nonlinear multiscale Dynamic Diffusion (DD) method for the advection-diffusion-reaction equation initially proposed by Arruda et al. [1] and recently studied by Valli et al. [2] . The ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e512e4fc43832075e1a70f4de9316158
https://doi.org/10.1016/j.camwa.2021.06.012
https://doi.org/10.1016/j.camwa.2021.06.012
Publikováno v:
Revista de Administração IMED, Vol 3, Iss 3, Pp 209-220 (2013)
Este artigo tem como objetivo apresentar um excerto de dissertação de mestrado sobre a importância dos estudos em PDV - ponto de venda - no varejo além de destacar o método de pesquisa calcado na observação do cliente no próprio meeting point
Externí odkaz:
https://doaj.org/article/37f70a06bb7f42369f70a1c6abfbdb67
Publikováno v:
Journal of Cellular Immunology. 2:31-37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8abb323b169de20c93a63ffa5aaae82e
https://doi.org/10.33696/immunology.2.016
https://doi.org/10.33696/immunology.2.016
Machine learning methods have revolutionized studies in several areas of knowledge, helping to understand and extract information from experimental data. Recently, these data-driven methods have also been used to discover structures of mathematical m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1582a6efd9e85c5ec9a56abc4a64f489
https://doi.org/10.21203/rs.3.rs-1317964/v1
https://doi.org/10.21203/rs.3.rs-1317964/v1
Publikováno v:
Nonlinear dynamics. 110(3)
Machine learning methods have revolutionized studies in several areas of knowledge, helping to understand and extract information from experimental data. Recently, these data-driven methods have also been used to discover structures of mathematical m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44c50cfa7689a97d53c4ee5412494854
https://pubmed.ncbi.nlm.nih.gov/36060282
https://pubmed.ncbi.nlm.nih.gov/36060282
Publikováno v:
Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782). 6
Cancer is a set of diseases whose mechanisms of emergence and growth are not completely known. Mathematical and computational models aim to contribute to a better understanding of these mechanisms in tumor dynamics. They can also be used to analyze t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9da68c6cd028a4f4860f0a787449a2ad
https://doi.org/10.21575/25254782rmetg2021vol6n31657
https://doi.org/10.21575/25254782rmetg2021vol6n31657