The science behind non-invasive hormonal wellness monitoring
Perimenopause affects 80% of women, yet clinicians have no objective tool to track it. Blood tests capture a moment. MARKABLE captures a trend.
- AI-powered facial biomarker analysis from a smartphone camera
- Cognitive performance battery calibrated to hormonal sensitivity
- 70+ symptom domains with algorithm-driven pattern detection
- Five independent channels fused into one provider-ready report
- Developed and tested on a 264-participant feasibility dataset
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Methodology, dataset, analysis approach, and findings.
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What's inside the paper
The Measurement Gap
Why blood tests fall short for tracking perimenopause, and why a new approach is needed.
Multi-Channel Methodology
How facial biomarkers, cognitive testing, sensory checks, and symptom capture combine into one signal.
Facial Biomarker Science
What facial patterns are associated with hormonal change, and how AI detects them.
Cognitive Battery Design
Which cognitive functions are sensitive to hormonal shifts, and how we measure them.
264-Participant Dataset
Study design, participant demographics, and hormonal status group definitions.
Feasibility Results
What the data showed across three hormonal status groups.
Provider Report Design
How hundreds of signals are distilled into a 2-minute clinical read.
Regulatory Positioning
General wellness product classification under FDA, MHRA, and MOH guidelines.
Turning hormonal chaos into clarity
MARKABLE is a non-invasive hormonal wellness monitoring platform. Using AI-driven facial analysis, cognitive testing, and structured symptom tracking, we give clinicians, employers, and health plans the first objective tool for tracking hormonal change over time.
No blood draw. No lab visit. Just a smartphone and 7 minutes.