[MA 2025 07] AI-Driven Skin & Facial Assessment for Clinical Intake

MESH, 370 Sarphatistraat, 1018GW Amsterdam

Proposed by: Dr. Simon Haddadin (Medical Doctor, MESH Founder) [simon.haddadin@meshcare.co]

Introduction: MESH is an early-stage healthcare technology company seeking to deliver next-generation healthcare through AI diagnostics, robotics precision and human empathy. This SRP supports the development of SAPIEN, MESH’s AI-powered diagnostic intake platform. Your work contributes to its “first-line” triage layer, enabling non-invasive, real-time screening through facial and skin analysis using vision-based AI. The system will be CE-compliant and WBSO-funded.

Description of the SRP Project/Problem: Facial and skin features (pallor, redness, fatigue, asymmetry) are early clinical signals often missed in clinical intake. This project builds a lightweight, explainable vision model to support risk flagging based on skin tone, symmetry, and expressions.

Research questions:

1. Can visual features from webcam/smartphone or similar images be mapped to diagnostic flags (e.g., fatigue, inflammation)?

2. What model architecture balances real-time inference with clinical interpretability?

3. How can visual explanations enhance physician trust?

Expected results

? Working prototype (facial classifier for clinical traits)

? Validation on a structured test set or proxy

? Scientific report suitable for publication

? Optional: integration into MESH intake module (staging version)

Time period, please tick at least 1 time period

o November – June

o May – November

Preferred: Begin as working student asap and for academic period November 2025 – June 2026 (Full-time SRP).

Contact

External Organization: MESH R&D (Amsterdam, NL)

Clinical Supervisor: Dr. Simon Haddadin (Medical Doctor, MESH Founder)

Technical Supervisor: Denis Yakovlev, CTO

UvA-Affiliated Co-Supervisor: Prof. Iacer Calixto

MESH core contact: simon.haddadin@meshcare.co

References

Autonomous swab robot for naso- and oropharyngeal COVID-19 screening | Scientific Reports

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