Transforming Voice into a Monitoring Solution
for Clinical Trials and Beyond with AI
At Vocalive, our technology is developed by a world-class team of experts in vocal biomarkers and AI/ML. As leaders of an international consortium on vocal biomarkers, with over 70 global participants, we are driving innovation and collaboration in this groundbreaking field.
With 10 published papers and an ever-growing body of evidence, our research paves the way for the adoption of vocal biomarkers in clinical trials and healthcare, delivering precise, scalable, and non-invasive solutions to improve patient care worldwide.
The Imperative of Voice Data Collection in Clinical Trials
Guy Fagherazzi, Yaël Bensoussan
Karger, Digital Biomarkers, November 2024
Digital voice-based biomarker for monitoring respiratory quality of life:
findings from the Colive Voice study
Vladimir Despotovic, Abir Elbéji, Kevser Fünfgeld, Mégane Pizzimenti, Hanin Ayadi, Petr V. Nazarov, Guy Fagherazzi
Biomedical Signal Processing and Control, October 2024
Digital Vocal Biomarker of Smoking Status Using Ecological Audio Recordings:
Results from the Colive Voice Study
Hanin Ayadi, Abir Elbéji, Vladimir Despotovic, Guy Fagherazzi
Karger, Digital Biomarkers, August 2024
A voice-based biomarker for monitoring symptom resolution in adults with COVID-19:
Findings from the prospective Predi-COVID cohort study
Guy Fagherazzi, Lu Zhang, Abir Elbéji, Eduardo Higa, Vladimir Despotovic, Markus Ollert, Gloria A. Aguayo, Petr V. Nazarov, Aurélie Fischer
Plos Digital Health, October 2022
Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice
Guy Fagherazzi, Aurélie Fischer, Muhannad Ismael, Vladimir Despotovic
Karger, Volume 5, Issue 1 January – April 2021
A voice-based algorithm can predict type 2 diabetes status in USA adults: Findings from the Colive Voice study
Abir Elbéji, Mégane Pizzimenti, Gloria Aguayo, Aurélie Fischer, Hanin Ayadi, Franck Mauvais-Jarvis, Jean-Pierre Riveline, Vladimir Despotovic, Guy Fagherazzi
Plos Digital Health, December 2024
A Voice-Based AI Algorithm Can Predict Type 2 Diabetes Status—Findings from the Colive Voice Study on U.S. Adult Participants
Abir Elbéji, Mégane Pizzimenti, Gloria A. Aguayo, Aurélie Fischer, Hanin Ayadi, Franck Mauvais-Jarvis, Jean-Pierre Riveline, Vladimir Despotovic, Guy Fagherazzi
Diabetes, June 2024
Multimodal Fusion for Vocal Biomarkers Using Vector Cross-Attention
Vladimir Despotovic, Abir Elbéji, Petr V. Nazarov, Guy Fagherazzi
Interspeech, 2024
Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research
Aurélie Fischer, Abir Elbéji, Gloria A. Aguayo, Guy Fagherazzi
Interactive Journal of Medical Research, November 2022
Detection of COVID-19 from voice, cough, and breathing patterns: Dataset and preliminary results
Vladimir Despotovic, Maël Cornil, Roderick McCall, Guy Fagherazzi
Computers in Biology and Medicine, October 2021
