Summarized by Masters of Longevity from Fight Aging!.
Speech-based aging research that uses acoustic and linguistic patterns to estimate age and flag aging-related changes; invites readers to learn how speech can serve as a scalable biomarker.
Key Takeaways
- A multimodal speech-based aging clock estimated chronological age using acoustic and linguistic features across diverse Latin American cohorts.
- Speech age gaps (SAGs) distinguished healthy controls from MCI, Alzheimer's, and frontotemporal dementia groups, indicating diagnostic sensitivity.
- SAGs correlated with biological aging markers including phosphorylated tau, brain imaging clocks, and several epigenetic age measures.
