The future of tumor models lies in the development of more sophisticated and predictive systems. Advances in bioengineering, such as microfluidic devices and bioprinting, are enabling the creation of complex tumor models that better mimic the human tumor environment. Additionally, the integration of multi-omics data and artificial intelligence in computational models is enhancing our ability to predict treatment responses and personalize cancer therapy.
