OCTCube-M: A 3D multimodal optical coherence tomography foundation model for retinal and systemic diseases with cross-cohort and cross-device validation

no code implementations • 20 Aug 2024 • Zixuan Liu, Hanwen Xu, Addie Woicik, Linda G. Shapiro, Marian Blazes, Yue Wu, Verena Steffen, Catherine Cukras, Cecilia S. Lee, Miao Zhang, Aaron Y. Lee, Sheng Wang

It then exploits a novel multi-modal contrastive learning framework COEP to integrate other retinal imaging modalities, such as fundus autofluorescence and infrared retinal imaging, into OCTCube, efficiently extending it into multi-modal foundation models.

Contrastive Learning Diagnostic +1

BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction

no code implementations • 14 Feb 2023 • Cai Yang, Addie Woicik, Hoifung Poon, Sheng Wang

Instead of obtaining features from language models, we propose BLIAM, a literature-based data synthesis approach to directly generate training data points that are interpretable and model-agnostic to downstream applications.

Data Augmentation Language Modeling +2