This page highlights selected publications and ecosystem resources that illustrate a broader field trend: independent groups are converging on the idea that voice can carry measurable, clinically relevant signal. These references are not presented as proprietary evidence for The Brain Call.
IEEE Transactions on Biomedical Engineering
Early evidence that telephone-quality voice signals can support remote pathology-related classification, with measurable performance differences by feature set and disorder subtype.
PMID: 16532773
Journal article metadata page (ScienceDirect)
Recent publication example in the broader voice biomarker research ecosystem (article landing page referenced for evidence tracking).
Open Sourceb2ai-voice.org
Program-level initiative focused on ethically sourced voice datasets, multi-disorder cohorts, and translational voice-AI methods for health applications.
Open Sourceb2ai-voice.org
Public tools, protocols, educational resources, and governance/ethics materials supporting reproducible, responsible voice biomarker work.
Open SourceGitHub: eipm/bridge2ai-redcap
Operational study infrastructure artifact with metadata, instruments, and implementation details relevant to multi-site voice-health data collection.
DOI: 10.5281/zenodo.12760724
GitHub: bridge2ai
Open repositories spanning standards, schemas, and tooling that support interoperability and machine-readable biomedical AI data practices.
Open SourceNote: metadata may evolve over time at the source. For regulatory or manuscript use, verify bibliographic fields directly from publisher/PubMed records.