For sports & performance medicine · longitudinal deltas

Read recovery before serum CK catches up.

Creatine kinase is slow and non-specific. CellWise re-assays your athletes and computes the gene-expression deltas across the stress-profile domains like inflammatory load, metabolic efficiency, and recovery & repair demand, so you can see what actually shifted since the last screen and adjust training load with molecular evidence.

✓ Free proof-of-concept on 5 athletes ✓ Benchmark every cycle ✓ Founder pricing locked in
CellWise · Longitudinal Screening
Biological load · avg
0.7 optimal
Screens on file
4
Stress profile · load by domain (Δ vs last screen)
Systemic Balance
0.9
Inflammatory Load
0.9
Metabolic Efficiency
0.8
Recovery & Repair Demand
0.6
Immune Power
0.5
Longitudinal read
Recovery & repair demand easing vs last screen, so training load can step up this cycle
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.
What it actually solves

Why serum markers fail the daily training call.

The decisions creatine kinase can't actually support.

01

Creatine kinase lags and blurs

CK is slow to respond and non-specific, which makes it weak for day-to-day load decisions. CellWise reads post-exercise transcriptomic change directly, resolved to the domains carrying the load.

→ A recovery read you can act on this cycle
02

Overtraining you can't see coming

Fatigue and overuse build before they surface. The stress profile breaks biological load into domains, from inflammatory load to recovery and repair demand, each traced to the genes driving it.

→ See the load before it becomes an injury
03

No objective benchmark between screens

Progress is guesswork without a baseline. Longitudinal re-assays compute the gene-expression deltas since the last screen, so every cycle is measured, not estimated.

→ Benchmark every cycle on molecular evidence
Everything in the portal

Seven modules, one clinical workspace.

Health Analysis Report

The clinical home base. Use-case assessments, immuno-metabolic phenotyping, the therapeutic target map, stress profiling, and more, all in one report.

Biomarker Analytics

The quantitative, visual view of the patient's raw biomarker data, shown as a population-vs-patient overview.

Data Explorer

A filterable, gene-level interface over the patient's complete dataset, exposing the top cell populations carrying each signal.

Clinical Scenario Simulator

Test a clinical hypothesis against the patient's own molecular data and re-run it in seconds.

Outcomes & Monitoring

Assay-independent surveillance across dosing phases, peptide-specific labs, and wearable trends, with no repeat sequence required.

Cellular Aging Profile

Immune age, senescence, and the 12 hallmarks from one PBMC sample, for cell-resolved biological aging.

Δ

Longitudinal Screening

Re-assay a patient and see the gene-expression deltas across key biomarkers, so you see what has shifted since the last screen.

What the beta measured

Recovery, resolved to the transcript.

Where serum markers lag days behind, single-cell deltas show the mobilization and stress response as it resolves.

Δ
Gene-expression deltas across the stress-profile domains like inflammatory load, metabolic efficiency, and recovery demand, screen over screen.
days
Faster than creatine kinase, which is slow to respond and non-specific for daily training decisions.
every cycle
Re-assay cadence is the point, and chronic-condition athletes and performance rosters benchmark continuously.
6
Stress-profile domains scored and traced to the driving genes, so biological load is resolved rather than lumped into a single marker.
0
Repeat single-cell sequencing needed to keep the surveillance layer running between screens.
load
Training load adjusted on molecular recovery evidence, not on how an athlete says they feel.
From the review room

Same athlete. Same recovery curve. Screen over screen.

Seeing recovery-and-repair demand ease on the re-assay before CK normalized would let me step training back up a full cycle earlier.

Sports Medicine MD
Beta review

A transcript-level delta between screens is exactly the daily-decision resolution serum markers have never given us.

Performance Physiologist
Beta review

For an athlete managing a chronic inflammatory issue, benchmarking the actual biological load each cycle changes how we periodize.

Team Physician
Beta review
◆ Placeholder quotes from simulated persona reviews. Replace with real practitioner testimonials before launch.

Benchmark five athletes, free.

We're now in beta testing, open to a limited cohort of sports and performance practices. It's a free proof-of-concept with founder-locked pricing.