Translating caregiver narratives into decision-relevant care signals
(Inspired by translational medicine: translating lived experience into actionable care knowledge)
We build an AI system for narrative-to-signal translation in early dementia care.
Our system transforms caregivers’ everyday narratives—often informal, fragmented, and subjective—into structured, physiologically meaningful functional signals that can support earlier and more informed care decisions.
Rather than diagnosing disease, we focus on translating lived experience into decision-relevant knowledge, extending the principles of translational medicine beyond biomarkers to real-world caregiving contexts.
In early dementia care, many clinically meaningful signals already exist—but in the wrong form.
Caregivers notice subtle behavioral changes, functional decline, and contextual anomalies long before they become clinically codified. However, these observations remain trapped in unstructured narratives, frequently dismissed as subjective and rarely integrated into formal care workflows.
This creates a critical gap between lived caregiving experience and care decision-making.
Inspired by translational medicine, we treat caregiver narratives as a form of latent, pre-clinical knowledge.
Our AI-assisted system translates:
lived experience → structured functional cues
narrative patterns → decision-relevant signals
informal observations → care-supportive data
The system is designed to support care decisions without making medical diagnoses, preserving clinical boundaries while unlocking the value of narrative data.
Most digital health tools rely on checklists, surveys, or predefined symptoms.
We work upstream—at the level of narrative—where early, context-rich signals first appear. By combining clinical exposure, biomedical research training, and AI-based pattern analysis, we enable forms of knowledge translation that are inaccessible to purely technical or purely clinical approaches.
We are in an early implementation stage, actively refining system architecture and analytical frameworks through real-world engagement in dementia-related care and knowledge translation contexts.
Our long-term vision is to establish narrative translation as a core layer of care infrastructure—complementing traditional clinical data by making lived experience legible, comparable, and actionable within aging and dementia care systems.
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