arXiv (All)
open access
BioSync: Transformer-Based Cross-Modal Fusion for a Multimodal Physiological Digital Biomarker
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. T
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Multimodal Digital Biomarker for Asthma: Complementary Roles of Vocal, Clinical and Demographic Factors#924109
- Multimodal Digital Biomarker for Asthma: Complementary Roles of Vocal, Clinical and Demographic Factors#919880
- Assessing current capabilities for incorporating lipidomics in multiomics data integration.#288712
- Cross-Spectral Dense Correspondence for Multimodal Spectral Medical Imaging#618619
- A multi-modal deep learning framework for enhanced breast cancer diagnosis using mammograms and clinical data.#263076
Record · ID 927789
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive