Research has utilized graph neural network modeling to study spatial tumor-immune interactions in non-small cell lung cancer, identifying prognostic cellular niches. This approach is part of a broader trend of using artificial intelligence and multi-modal omics to understand the tumor microenvironment and immune evasion. Studies are also exploring similar concepts in other areas, including brain metastasis and liver cancer, with potential applications for precision drug discovery and immunotherapy response.