AI-generated image. Image: Adobe Stock
SAFIR
Skin AI-based Frailty Scoring for Early Health Insights and Risk-Stratification
Motivation
Skin frailty makes the skin more vulnerable to bruising, tearing, and delayed wound healing and affects around 30% of adults aged 65 and older. It is also associated with other age-related conditions such as osteoporosis, cardiovascular disease, and neurodegenerative disorders. However, no standardized digital tool currently exists to objectively assess skin frailty. This project will evaluate the market, regulatory, and technical feasibilty of an AI-assisted tool for automated skin frailty assessment.
Goals and Approach
To assess the feasibilty of an AI-assisted Skin Frailty Assessment tool, the project team will evaluate the U.S. market, technology and regulatory environment. This includes market and competition analysis, identification of user needs and potential partners, assessment of intellectual property and technology opportunities, and verification of legal and regulatory requirements. The findings will be used to define product requirements and inform the next steps for future development.
Innovations and Perspectives
The project will strengthen the foundation for an AI-assisted approach to skin frailty assessment and support future market access in the U.S. It will provide new insights into market needs, user requirements, and regulatory pathways while establishing contacts with potential partners. In the long term, the solution could support more accessible, objective, and data-driven assessment of skin frailty for clinicians, patients, and researchers.
Project Coordinator
avisé labs GmbH
Marius Khan
Springmorgen 8c
44227 Dortmund
Tel.: +49 176 60878167
E-Mail: khan@aviselabs.de
Project Partner / Subcontractor
- Stanford School of Medicine
Project Volume
60.000 €
Project Duration
from July 2026 until December 2026