A joint research team affiliated with UNIST has developed a 3D-printed artificial tumor tissue capable of replicating the in vivo conditions of patient-derived cancer cells.
This innovative model not only simulates the tumor microenvironment but also integrates artificial intelligence (AI) technology that can predict patient prognosis solely from images of tumor growth.
The team developed an artificial tumor tissue called the Embedded Bioprinting-enabled Arrayed PDOs (Eba-PDOs).
This model accurately reproduces the high matrix stiffness and hypoxic conditions characteristic of real tumor tissues, particularly in colorectal cancer (CRC).
By analyzing the morphology of these artificial tumors with AI, the team achieved 99% accuracy in predicting the expression of key prognostic gene markers, such as CEACAM5, in colorectal cancer.
Furthermore, the model successfully replicated individual patient responses to 5-fluorouracil (5-FU) chemotherapy, highlighting its potential for personalized treatment planning.
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