AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

BioSync: Transformer-Based Cross-Modal Fusion for a Multimodal Physiological Digital Biomarker

arXiv · AI, language, vision and robotics · article · Sep 3, 2026 · UTC

Cardiac, neural, behavioral, and speech measurements from wearable and mobile devices provide partial, noise-sensitive views of physiological state. BioSync combines these measurements into the \textbf{BioSync Index (BSI)}, a continuous composite digital biomarker defined under the BEST framework. The model applies multi-head self-attention to modality tokens and adds a linear branch whose hypothesis class includes standard feature concatenation. This architecture is motivated by latent-variable measurement theory and by the possibility that joint observations contain information unavailable f

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.