Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Ernesto A. B. F. Lima"'
Autor:
Hugo J. M. Miniere, Ernesto A. B. F. Lima, Guillermo Lorenzo, David A. Hormuth II, Sophia Ty, Amy Brock, Thomas E. Yankeelov
Publikováno v:
Cancer Biology & Therapy, Vol 25, Iss 1 (2024)
ABSTRACTTumor heterogeneity contributes significantly to chemoresistance, a leading cause of treatment failure. To better personalize therapies, it is essential to develop tools capable of identifying and predicting intra- and inter-tumor heterogenei
Externí odkaz:
https://doaj.org/article/0e280a58802b47fcb80eb711f4c69ab3
Autor:
Ernesto A. B. F. Lima, Patrick N. Song, Kirsten Reeves, Benjamin Larimer, Anna G. Sorace, Thomas E. Yankeelov
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 10, Pp 17625-17645 (2023)
The goal of this study is to develop a mathematical model that captures the interaction between evofosfamide, immunotherapy, and the hypoxic landscape of the tumor in the treatment of tumors. Recently, we showed that evofosfamide, a hypoxia-activated
Externí odkaz:
https://doaj.org/article/b4a6b342a4404b939a7de0f477b55c1f
Autor:
Anirban Chaudhuri, Graham Pash, David A. Hormuth, Guillermo Lorenzo, Michael Kapteyn, Chengyue Wu, Ernesto A. B. F. Lima, Thomas E. Yankeelov, Karen Willcox
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipatory personalized treatment that accounts for uncertainties in the und
Externí odkaz:
https://doaj.org/article/0033dc2ccbbf4cf4b2bfb36a88972137
Autor:
Juliane F. Oliveira, Daniel C. P. Jorge, Rafael V. Veiga, Moreno S. Rodrigues, Matheus F. Torquato, Nivea B. da Silva, Rosemeire L. Fiaccone, Luciana L. Cardim, Felipe A. C. Pereira, Caio P. de Castro, Aureliano S. S. Paiva, Alan A. S. Amad, Ernesto A. B. F. Lima, Diego S. Souza, Suani T. R. Pinho, Pablo Ivan P. Ramos, Roberto F. S. Andrade
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Low-resource settings can face additional challenges in managing the COVID-19 pandemic. Here, the authors use mathematical modelling to investigate transmission in the state of Bahia, Brazil, and quantify control measures needed to prevent the hospit
Externí odkaz:
https://doaj.org/article/7ac0b52971ed429ead95ba31036d770e
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
Autor:
Chengyue Wu, Casey E. Stowers, Zhan Xu, Ernesto A. B. F. Lima, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov
Publikováno v:
Cancer Research. 83:5569-5569
Introduction: Patients with locally advanced, triple-negative breast cancer (TNBC) typically receive neoadjuvant systemic therapy (NAST). However, the response of TNBC to NAST is varied and a prognostic marker is still lacking. Since angiogenesis pla
Autor:
Aureliano S. S. Paiva, Rosemeire L. Fiaccone, Luciana L. Cardim, Rafael V. Veiga, Caio P. de Castro, Moreno S. Rodrigues, Felipe A. C. Pereira, Pablo Ivan Pereira Ramos, Ernesto A. B. F. Lima, Suani Tavares Rubim de Pinho, Juliane F. Oliveira, Daniel C. P. Jorge, Diego S. Souza, Roberto F. S. Andrade, Alan A. S. Amad, Matheus F. Torquato, Nívea B. da Silva
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Nature Communications
Nature Communications
COVID-19 is affecting healthcare resources worldwide, with lower and middle-income countries being particularly disadvantaged to mitigate the challenges imposed by the disease, including the availability of a sufficient number of infirmary/ICU hospit
Autor:
Chengyue Wu, Guillermo Lorenzo, David A. Hormuth, Ernesto A. B. F. Lima, Kalina P. Slavkova, Julie C. DiCarlo, John Virostko, Caleb M. Phillips, Debra Patt, Caroline Chung, Thomas E. Yankeelov
Publikováno v:
Biophys Rev (Melville)
Biophysics Reviews
Biophysics Reviews
Digital twins employ mathematical and computational models to virtually represent a physical object (e.g., planes and human organs), predict the behavior of the object, and enable decision-making to optimize the future behavior of the object. While d
Autor:
Matthew T. McKenna, Angela M. Jarrett, Ernesto A. B. F. Lima, Thomas E. Yankeelov, David Fuentes, David A. Hormuth
Publikováno v:
JCO Clinical Cancer Informatics. :1-10
Multiparametric imaging is a critical tool in the noninvasive study and assessment of cancer. Imaging methods have evolved over the past several decades to provide quantitative measures of tumor and healthy tissue characteristics related to, for exam
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(6-7)
Doxorubicin is a chemotherapy widely used to treat several types of cancer, including triple-negative breast cancer. In this work, we use a Bayesian framework to rigorously assess the ability of ten different mathematical models to describe the dynam