Research use only until SaMD clearance

The science under the story.

CellWise reads gene expression at single-cell resolution and interprets it through peer-reviewed frameworks, so the story it tells is grounded in the biology rather than a black box.

✓ Peer-reviewed frameworks ✓ 400+ genes · immune populations ✓ Population-normalized
CellWise · Scientific basis
Biomarker genes
400+
Frameworks
4
Validated frameworks
sc-ImmuAgingimmune-aging clock
SenMayo125-gene senescence
12 HallmarksLópez-Otín
Immuno-metabolic axistherapy-response axis
Status
Research use only until SaMD clearance
Grounded inreal population datapeer-reviewed researchlegacy single-cell technology
Now in beta testing: a free proof-of-concept on five patients, at founder-locked pricing.
Why single-cell

Bulk panels average away the answer.

A standard panel measures analytes in bulk fluid. Single-cell reads the cells themselves.

The bulk panel

Averaged across billions of cells.

Standard blood work can tell you inflammation is elevated, but not which cells are inflamed, why they are dysregulated, or how they will respond to a therapy. DNA sequencing adds inherited risk but says nothing about real-time expression.

→ Real symptoms, 'normal' results
CellWise

Resolved to the cells driving it.

CellWise reads gene expression across immune cell populations, localizing the signal to the cells responsible and capturing the dynamic expression that adapts to lifestyle, environment, and treatment.

→ The mechanism, not just the marker
The frameworks

Interpreted through validated science.

Every read is anchored to peer-reviewed frameworks, not a proprietary score no one can check.

Immune-aging clock

sc-ImmuAging

A single-cell immune-aging clock that identifies which immune compartments are aging fastest from one PBMC sample.

Senescence

SenMayo

The 125-gene cellular-senescence panel, read at single-cell resolution across the immune compartment.

López-Otín

12 Hallmarks of Aging

The canonical hallmarks framework, mapped onto the patient's own cell-resolved biology.

Therapy-response axis

Immuno-metabolic phenotype

The glycolytic/inflammatory to oxidative/quiescent axis across cell types, a primary determinant of how a patient responds.

The method

Built so rare signal survives.

The statistics that keep a real anomaly from being averaged out of existence.

MAD
Median-absolute-deviation normalization against a dynamic population baseline, instead of mean and standard deviation that erase rare anomalies.
QC
Apoptotic cells are filtered out during ingestion, so dying-cell noise doesn't distort the biological signal.
Baseline
Every donor is read against a population reference, so a finding means something relative to a real distribution.
400+
Biomarker genes across immune cell populations, the panel behind every phenotype and report.
Batch cleared
Technical batch effects across sample runs are removed, preserving reproducibility across labs and time.
Rare kept
Functional anomalies that traditional methods erase are preserved and surfaced for interrogation.
Where we are

Honest about the stage.

CellWise is built and deployed, and being validated in the open with our design partners.

Regulatory

Research use only

CellWise is a software-as-a-medical-device on a clearance pathway. Today it is for research use until SaMD clearance, and we say so on every page.

In progress

Wet-lab validation

A structured validation program is running across the beta cohort, building the real-world evidence base sample by sample.

The ask

Validated with partners

Design partners contribute real-world cases that sharpen the models and become the evidence that supports clearance.

Validate it with us.

The strongest science is built on real cases. Join the design-partner cohort and help shape the evidence base, at founder terms.