Outputs (3)

In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times (2020)
Journal Article

© 2020 The Author(s) Background and Objective: Cancer tumors constitute a complicated environment for conventional anti-cancer treatments to confront, so solutions with higher complexity and, thus, robustness to diverse conditions are required. Alter... Read More about In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times.

Harnessing adaptive novelty for automated generation of cancer treatments (2020)
Journal Article

© 2020 The Authors Nanoparticles have the potential to modulate both the pharmacokinetic and pharmacodynamic profiles of drugs, thereby enhancing their therapeutic effect. The versatility of nanoparticles allows for a wide range of customization poss... Read More about Harnessing adaptive novelty for automated generation of cancer treatments.

Novelty search employed into the development of cancer treatment simulations (2020)
Journal Article

Conventional optimization methodologies may be hindered when the automated search is stuck into local optima because of a deceptive objective function landscape. Consequently, open ended search methodologies, such as novelty search, have been propose... Read More about Novelty search employed into the development of cancer treatment simulations.