# MODAE+

Transferring drug sensitivity from cancer cell lines to patient tumours is hard because aligning the two domains can erase tumour-lineage structure. MODAE+ jointly optimizes domain alignment, deconfounding, drug-response prediction, survival prediction and lineage classification in one shared latent space, with adaptive multitask weighting to balance them. On matched treated TCGA subsets, its predicted sensitivity reached a 41.5% Cox-significant rate for overall survival, versus 4.9% for CODE-AE-ADV.

Transferring drug sensitivity from cancer cell lines to patient tumours is hard because aligning the two domains can erase tumour-lineage structure. MODAE+ jointly optimizes domain alignment, deconfounding, drug-response prediction, survival prediction and lineage classification in one shared latent space, with adaptive multitask weighting to balance them. On matched treated TCGA subsets, its predicted sensitivity reached a 41.5% Cox-significant rate for overall survival, versus 4.9% for CODE-AE-ADV.