NIH-funded research Sbir 2 grant

Using a Conversational AI to Help Older Adults Prevent Falls at Home

Official title: Implementing and Scaling the STEADI Fall Prevention Algorithm Using a Conversational Relational Agent for Community-Dwelling Older Adults with and without Mild Cognitive Impairment (MCI).

Funded at Friendi.fi Corporation · NIH-11418945 · Data updated 2026-11-12

A small, practical project uses a chat-based AI coach to help people 65 and older follow proven steps to prevent falls, including those with mild cognitive impairment.

Quick facts

Grant typeSbir 2 grant
Study typeNIH-funded research
Funding institutionFriendi.fi Corporation
NIH-funded
Lab location1 site (Millbrae, United States)
Project startSeptember 26, 2023
Project endMay 31, 2029
Funding year2026
Award (this year)$852,676
NIH project number5R44AG085913-03
Project IDNIH-11418945 on NIH RePORTER

Who could benefit from this research

Could help

Older adults aged 65 and above, including those with mild cognitive impairment, who live in the community and have access to the conversational AI tool.

Less likely to help

Individuals without access to or comfort with AI-based guidance, or those needing acute medical management not addressed by this program, may not benefit.

What this research studies

If you are an older adult or caregiver, this project aims to make fall-prevention guidance more accessible through a friendly chat assistant that works with your routine. It builds on the STEADI framework—screening, assessment, and personalized advice—delivered via an easy-to-use conversational agent. The goal is to reduce fall risk and related injuries by supporting adherence to proven preventive steps in day-to-day life. The approach focuses on scalable, user-friendly deployment in community settings to reach many seniors without heavy in-person resource use.

Why it matters

Potential benefit: If successful, it could lower fall risk and improve independence for older adults, including those with mild cognitive impairment.

How similar studies have gone: Previous STEADI-based approaches reduce fall risk when well-implemented, but scaling with AI-enabled coaching is still being explored.

Where this research is happening

  • Friendi.fi Corporation
    Millbrae, United States
    Active

Researchers

  • Principal investigator: Kerssens, Chantal M — Friendi.fi Corporation
  • Study coordinator: Kerssens, Chantal M

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.