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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

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Timon Citak

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#reinforcement learning Open access Oct 2026

Crowding governs resistance confinement and guides the improvement of adaptive therapy in a 2D melanoma model system

The emergence of treatment resistant mutants is one of the primary contributors to therapy failure in cancer. Evolution-based adaptive therapies aim to exploit the competition between sensitive and resistant cells to prolong therapeutic control. However, in the densely packed tissues of solid tumors, competition is not...

Jona Kayser, Maximilian Eiche, Elias Ferdinand Fischer et al. · 0 citations
#reinforcement learning Open access Oct 2026

Reinforcement Failing guides the discovery of emergent physical dynamics in adaptive tumor therapy

Abstract Artificial intelligence is revolutionizing scientific discovery in medicine, with reinforcement learning (RL) emerging as a promising tool for optimizing therapeutic strategies. Yet applying RL to complex scenarios such as therapy dynamics in solid tumors is constrained by the challenge of constructing trainin...

Serhii Aif, Maximilian Eiche, Nico Appold et al. · 0 citations

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