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Multimodal + Healthcare

14.0

Create an OSS framework for multimodal medical prognosis that handles missing modalities natively using prototype-driven learning. This fills a critical gap in clinical machine learning research.

+0
emergingimplementation gap
prognosishealthcaremultimodalself-supervisedvae

Signals (3)

arXiv2h ago

MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE

arXiv2h ago

Depression Detection at the Point of Care: Automated Analysis of Linguistic Signals from Routine Primary Care Encounters

arXiv1d ago

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities