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Publicaciones

Investigación y metodología de Verbasync.

Explore white papers en formato artículo y notas de investigación sobre Amigo, creación de memorias, atención basada en voz, extracción de señal clínica e interacción con adultos mayores.
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Publicación destacada
Research white paper
Research-facing draft
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
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Research hypothesis·May 2026·Version 0.1
Research white paper · Research-facing draft

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.

Memoir creationReminiscence-inspired interventionOlder adultsSelf-worthCognitive stimulationLongitudinal speech monitoring
Lista de publicaciones

Documentos disponibles

3 publicaciones · última actualización May 2026
Research white paper
Research-facing draft
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
Research hypothesis·Research white paper·May 2026

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.

Version 0.1Leer HTML
Research white paper
Lab-facing draft
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
Research hypothesis·Research white paper·May 2026

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.

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White paper
White Paper Series - Volume 1
From Conversational Data to Clinical Signal
A multi-dimensional framework for detecting affective distress in geriatric telephone companionship calls
Methodology·White paper·April 2026

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.

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