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Author

Daniel M. Low

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Preprint Sep 2026

Towards clinical adoption of voice and speech as measures of health: the need for harmonization

Speech and voice are multidimensional signals that capture both communicative intent and underlying physiological processes, providing a unique, non-invasive window into health. Analyzing these signals has the potential to yield digital biomarkers that (i) provide scalable, objective measurement tools for research and...

Nicholas Cummins, Vikram Ramanarayanan, Daniel M. Low et al. · 0 citations
Review Open access Sep 2026

Using large language models to create lexicons for interpretable text models with high content validity: the Suicide Risk Lexicon

This work demonstrates that LLMs –despite being black-boxes– can counterintuitively create interpretable models by generating lexicons, when this is preferred, and highlights the broader application of lexicons beyond measurement.

Daniel M. Low, Osiris Rankin, Daniel D. L. Coppersmith et al. · 0 citations

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