Dermal Biomarker Patch

Simple, rapid, and painless extraction of biomarkers from skin cells

A pharma-ready, minimally invasive route to skin molecular biology.

Mindera Health developed a proprietary platform that enables simple, rapid, and painless extraction of RNA from skin using a dermal biomarker patch. The extracted RNA can be sequenced to generate a transcriptomic snapshot of the skin at the moment of sampling—supporting translational studies and drug-development decisions.

What it collects:

  • RNA-first molecular readout suitable for transcriptomic profiling.
  • Additional biomarker classes include DNA, protein, and small molecules depending on workflow (in development).
  • Lesional or non-lesional sampling to compare diseased vs. baseline states.
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Competitive Advantage

competitive advantage

Example Indications

Non-invasive skin sampling opens the door to a range of potential insights into various dermatological conditions. This innovative approach is particularly valuable for assessing diseases such as atopic dermatitis, psoriasis, and melanoma, enabling researchers and clinicians to gather critical data while minimizing discomfort for patients. By analyzing skin samples, we gain a deeper understanding of underlying biological mechanisms, paving the way for more effective treatments and personalized care. Programs using non-invasive skin sampling commonly include (biomarker sampling and analytics workflows):

Actinic Keratoses

Atopic Dermatitis

Basal Cell Carcinoma

Lymphoma

GVHD

Hidradenitis Suppurativa

Melanoma

Lupus

Psoriasis

T-cell Lymphoma

Vitiligo

Squamous Cell Carcinoma

Why It Matters

Skin disease evaluation often relies on subjective visual assessment, and traditional biopsies can be invasive and not justified for some inflammatory indications. A patch-based approach aims to improve access to molecular signals with a patient-friendly procedure.

Example Workflow (High Level)

Exact protocols vary by study design and assay requirements. Always follow validated procedures.

1

Apply patch to selected skin site(s) and collect sample.

2

Extract biomarkers

3

Analyze molecular signatures with statistical or ML models.

4

Integrate with imaging + metadata in SkinAtlas™ for deeper insight.