Rongrong Xiao

This paper develops a co-culture chip to model colorectal cancer TME with CAFs, showing improved drug response prediction and tumor recurrence compared to organoid-only models.

Oakuloid combines a structural machine learning model with a 3D liver-on-chip assay to predict drug-induced liver injury, achieving high AUROC on external benchmarks and offering orthogonal confirmation signals.

This paper develops a tumor organoid-CAF co-culture model to evaluate CAR-T drug efficacy by mimicking the tumor microenvironment's complexity.