Publications
Research papers and methodology from Verbasync.
Article-style white papers and research notes on Amigo, memoir creation, voice-based care, clinical signal extraction and older-adult engagement.
AI-Guided Memoir Creation as a Reminiscence-Inspired Intervention for Older Adults
A hypothesis-driven research white paper on emotional engagement, self-worth, cognitive stimulation, and longitudinal monitoring
Alain Briez, Chief Executive Officer, Verbasync
This white paper proposes that AI-guided memoir creation, delivered through repeated natural voice conversations, may function as a scalable reminiscence-inspired model of emotional and cognitive engagement for older adults. The model is positioned as a testable research hypothesis, not a diagnostic or therapeutic claim.
Research library
Available papers.
3 publication pages spanning research hypotheses, methodology, voice biomarkers and clinical signal extraction.
AI-Guided Memoir Creation as a Reminiscence-Inspired Intervention for Older Adults
A hypothesis-driven research white paper on emotional engagement, self-worth, cognitive stimulation, and longitudinal monitoring
Alain Briez, Chief Executive Officer, Verbasync
This white paper proposes that AI-guided memoir creation, delivered through repeated natural voice conversations, may function as a scalable reminiscence-inspired model of emotional and cognitive engagement for older adults. The model is positioned as a testable research hypothesis, not a diagnostic or therapeutic claim.
Naturalistic Daily Voice Sampling at Home for CNS Digital Biomarker Research
A hypothesis-driven research white paper on ecological validity, longitudinal measurement, and clinical trial data quality
Alain Briez, Chief Executive Officer, Verbasync
This white paper proposes that daily or high-frequency voice data collected through natural conversations in the participant home environment may provide complementary, ecologically valid, longitudinal data for CNS digital biomarker research. It positions home voice sampling as a hybrid layer alongside standardized clinic-based speech tasks, with validation requirements grounded in V3/V3+ digital measure methodology.
From Conversational Data to Clinical Signal
A multi-dimensional framework for detecting affective distress in geriatric telephone companionship calls
Alain Briez, Chief Executive Officer & Head of Technology, Verbasync
Late-life depression remains among the most under-diagnosed health conditions in the developed world. This methodology paper describes how Verbasync transforms regular geriatric telephone companionship conversations into structured, clinically grounded signals anchored on GDS-15, GAD-7 and C-SSRS, with privacy-preserving outputs designed for professional caregivers and family members.
Discuss the validation roadmap.
We are continuing validation work with institutional partners and can brief qualified clinical, operational and research teams.