Y. Viossat

Preventing evolutionary rescue in cancer

This paper develops a theoretical framework to optimize cancer treatment scheduling by exploiting stochastic extinction of small tumors, showing that switching to a second treatment when the tumor is near its minimum size maximizes eradication probability.

Turnover modulates the need for a cost of resistance in adaptive therapy

This study investigates whether a cost of resistance is necessary for adaptive therapy to delay cancer progression, finding that cell turnover modulates this requirement depending on tumor growth conditions.

The logic of containing tumors

This paper shows that containing tumors at a maximum tolerable size can delay treatment failure better than eliminating them, using mathematical models and simulations.

Modeling adaptive therapy in non-muscle invasive bladder cancer

This study models adaptive therapy for non-muscle invasive bladder cancer to control tumor size and reduce recurrence by analyzing mutational heterogeneity and cytokine profiles.