Recent research published in Nature Scientific Reports from Klick Labs reports links to blood glucose levels and voice, suggesting potential for voice-based blood sugar monitoring, building on their pioneering work using vocal biomarkers and artificial intelligence (AI) to detect type 2 diabetes.
This innovative Voice Tech which combines voice technology with AI is a huge leap forward in diabetes detection and could be a game changer, determining if a person is diabetic could become as easy as having them speak into a smartphone. The groundbreaking study has confirmed the link between blood glucose levels and voice pitch and opened the door to future advancements in non-invasive glucose monitoring for type 2 diabetes.
“Our research highlights significant vocal variations between individuals with and without Type 2 diabetes and could transform how the medical community screens for diabetes,” said Jaycee Kaufman, first author of the paper published in October 2023 and research scientist at Klick Labs. “Current methods of detection can require a lot of time, travel, and cost. Voice technology has the potential to remove these barriers entirely.”
Revolutionizing detection and management
The October 2023 paper described how the researchers used six to 10 seconds of over 18,000 recordings of people’s voices, along with basic health data, including age, sex, height, and weight, to create an AI model that can distinguish whether that individual has Type 2 diabetes, and the model was reported to have an 89% accuracy for women and 86% accuracy for men.
This study is part of an ongoing exploration of vocal biomarkers and the role they can play in enhancing health outcomes. For this study, the team examined how blood glucose levels influence the voice frequency of 505 participants across three glycemic statuses: non-diabetic, prediabetic, and Type-2 diabetic. Participants were fitted with continuous glucose monitors (CGMs) and their voices were recorded multiple times daily over 2 weeks. According to the researchers, “The analysis revealed a linear relationship where an increase in CGM glucose levels corresponded to an increase in the fundamental frequency in the voice.”
Milestones in this Voice Tech
“By establishing a significant positive association between glucose levels and fundamental frequency, our study provides compelling justification for more research on using voice to predict and monitor glucose levels,” said Jaycee Kaufman, lead author, and scientist at Klick Labs. “Whereas current glucose monitoring methods are often invasive and inconvenient, voice-based glucose monitoring could be as easy as talking into a smartphone, which could change the game for the estimated 463 million people around the world living with Type 2 diabetes.”
This study marks another milestone in revolutionizing the detection and management of diabetes using Voice Tech and machine learning. Klick Labs 2023 study published in Mayo Clinic Proceedings: Digital Health demonstrated that voice and AI can screen for Type 2 diabetes with high accuracy. Prior to this “Screening for Impaired Glucose Homeostasis: A Novel Metric of Glycemic Control” research appeared in Mayo Clinic Proceedings: Digital Health, and their 2020 study “Homeostasis as a proportional–integral control system” was published in Nature Digital Medicine.
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References/Sources/Materials provided by:
https://www.mcpdigitalhealth.org/article/S2949-7612(23)00073-1/fulltext
https://www.nature.com/articles/s41598-024-69620-z
https://worldhealth.net/news/type-2-diabetes-can-be-prevented-with-diet-and-exercise/
