Paulo Cesar De Morais

Title : Mathematical modeling the tumor heterogeneity using a nanoemulsion biodistribution

Abstract:

This plenary talk is addressed to the biodistribution description of a luminescent lipid nanoemulsion and its use as a model to assess the heterogeneous architecture of an implanted solid tumor. Moreover, the talk aims to describe the tumor tissue organization and examine how the tumor heterogeneity can interfere with the passive delivery of the lipid nanoemulsion. Two breast cancer preclinical models (4T1 and Ehrlich) were used to describe how one can assess the biodistribution data. Numerical analysis of the recorded data was performed using a comprehensive mathematical model, which describes the differential nanoemulsion biodistribution and sub-tumoral localization in the two different breast cancer models. Differential equations are formulated and solved within the approach of compartment model to account for the biodistribution data.

Audience Take Away:

• The talk will emphasize the benefits of mathematical modeling biological data.
• The audience interested in nanobiodistribution will learn the success of a case study.
• The talk content will stimulate the audience toward mathematical modeling biological data.
• The comprehensive data analysis presented will show how the accuracy can be improved and how the design of biological experiments can be better oriented.

Biography:

De Morais, PhD, was full Professor of Physics at University of Brasilia (UnB) – Brazil up to 2013, Appointed as: UnB’s Emeritus Professor (2014); Visiting Professor at HUST – China (2012-2015); Distinguished Professor at AHU – China (2016-2019); Full Professor at Catholic University of Brasília – Brazil (2018); CNPq-1A Research Fellow since 2010; 2007 Master Research Prize from UnB. He held two-years (1987-1988) post-doc position with Bell Communications Research – USA and received his Doctoral degree in Solid State Physics (1986) from the Federal University of Minas Gerais – Brazil. He has published about 500 papers (Web of Science).