A contrastive multimodal fusion model with TabPFN-v2 encoders predicts peak (AUROC 0.797) and durability (AUROC 0.755) of pertussis booster responses in 158 subjects, outperforming baselines with task-specific modality contributions matching immunology.
Scikit-learn: Machine Learning in Python
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Shape-based PCA on wearable sensor trajectories from 41 children identifies kinematic patterns that, when combined via PLS, yield a motor function index correlating r=0.78 with muscle fat infiltration, Brooke score, and age.
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Multitask Multimodal Fusion with Tabular Foundation Models for Peak and Durability Prediction of Pertussis Booster Response
A contrastive multimodal fusion model with TabPFN-v2 encoders predicts peak (AUROC 0.797) and durability (AUROC 0.755) of pertussis booster responses in 158 subjects, outperforming baselines with task-specific modality contributions matching immunology.
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A Shape-Based Functional Index for Objective Assessment of Pediatric Motor Function
Shape-based PCA on wearable sensor trajectories from 41 children identifies kinematic patterns that, when combined via PLS, yield a motor function index correlating r=0.78 with muscle fat infiltration, Brooke score, and age.