Mathematical tools to study tumors

Researchers from the Department of Cellular Biology at the University of Seville and the Seville Institute of Biomedicine (IBiS), Pablo Vicente and Doctor Luisma Escudero, in close collaboration with the researcher Rebecca Burgos and other members of the group of Doctor Rosa Noguera (University of Valencia—INCLIVA, CIBERONC) have published a study aimed at developing new therapies to fight childhood cancer. […]

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New mathematical parameters to model the impact of Wolbachia infection for disease control

LSTM’s Dr. Gabriela Gomes is senior author on a new study which outlines the importance of using variation in mosquito susceptibility as a parameter in mathematical modelling to realistically assess the impact of Wolbachia infection on disease transmission. The Aedes aegypti mosquito is a disease vector for a number of arboviruses including, chikungunya, dengue and Zika. Wolbachia, a bacterial symbiont, […]

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Using mathematical models to determine the best chemotherapy schedules

Can mathematical models predict how can cancer cells respond to varied chemotherapy schedules? In other words, should cancers associated with fast-growing tumors, like brain cancer, be treated using a low drug dose administered continuously, as opposed to a high drug dose given periodically? Professor Paul Newton and Ph.D. recipient Jeffrey West have developed a tool that can predict the best […]

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Mathematical modeling offers new way to understand variable responses to targeted therapy

Cancer therapies that target a specific protein have improved outcomes for patients. However, many patients eventually develop resistance to these targeted therapies and their cancer comes back. It is believed that differences among tumor cells, or heterogeneity, may contribute to this drug resistance. Moffitt Cancer Center researchers are using a unique approach by combining typical cell culture studies with mathematical […]

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