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 gene-expression deltas across the stress-profile domains — inflammatory load, metabolic efficiency, recovery & repair demand — so you can see what actually shifted since the last screen and adjust load with molecular evidence.

See what it costs
✓ Up to 5 athletes at the founding pilot rate ✓ 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
Founding Practitioner Pilot · fifty places

Up to five of your own patients at $2,095 $1,800 each, for Core Plus.

14% below standard Invoiced only for the ones you send.All in: kit, shipping and the blood draw.A sample that fails lab QC is not invoiced.Decide at the end of a 30-day review.
Per patient
$1,800

Core Plus, 14% below the $2,095 standard rate.

How many
One to five

Your own patients. Invoiced only for the ones you send.

Billing
On delivery, net 30

All in: collection kit, shipping and the phlebotomy draw. A failed QC sample is not invoiced.

Your decision
30-day review

Full module access from your last report, then decide whether to carry on.

Fifty founding places.Full pricing and terms
What it actually solves

Why serum markers fail the daily training call.

The decisions creatine kinase can't actually support.

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

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

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
Rotates every few seconds. Hover to pause, click a headline to hold it.
Training stress switches on inside immune cells.

Protein-folding (ER) stress and monocyte cytokine tone are programmes inside the cells, a read that creatine kinase doesn't give. Real data from 26 reference donors with no known diagnosis: each column is one person, each row one gene in one cell type, coloured against people of the same sex.

ER stress (UPR) on in 2 of 26 donors 26 reference donors, no known diagnosis. One column per person. ER stress (UPR) ↑ switched on when the state is present DDIT3 · NK cells PPP1R15A · CD14 monocytes ERN1 · other T cells EIF2AK3 · B cells HSPA5 · NK cells XBP1 · NK cells Inflammasome and IL-1 ↑ switched on when the state is present IL1B · CD14 monocytes CXCL8 · CD14 monocytes NLRP3 · CD14 monocytes CASP1 · CD14 monocytes
Lower than reference Higher than reference not read Robust z-score of each gene in its cell type against same-sex reference donors (colour capped at ±5). Hover a square for the value.
  • ER-stress genes switching on (DDIT3/CHOP, PPP1R15A): protein-folding strain in NK cells, monocytes, T and B cells.
  • Inflammasome and IL-1 in monocytes: the inflammatory load a training block can leave behind, read in the cells that carry it.
  • Re-assay across a block to see whether the switch turns back as load changes.
Everything in the portal

Seven modules, one clinical workspace.

Health Analysis ReportIllustrative preview
SemaglutideGLP-1 receptor agonist · mapped with tirzepatide
Strong match
  1. Cell stateInnate inflammation on, in CD14 monocytes
  2. Genes4 move with the state, 1 against
  3. PathwayNF-κB and IL-1β
  4. MechanismLowered IL-1β and TNF in mononuclear cells in a randomised trial; pooled trials lower CRP. Human data
  5. Check firstA recent infection or vaccine, or hard exercise before the draw
In line with the state
IL1B ↑CXCL8 ↑NLRP3 ↑TNF ↑
Moving against it
CCL2 ↓

Read in this patient's CD14 monocytes against people of the same sex in the reference set.

Mechanism: human dataResponse: CellWise prediction, not yet validated
Module 01

Health Analysis Report

The clinical home base: risk-rated health domains, immuno-metabolic phenotyping, and mechanism-based peptide pairing, each call traced from cell state to genes, pathway and mechanism.

Clinicians see
Each peptide call explained: the cell state, the genes moving with it and against it, the pathway, the evidence tier and what to check first.
Licensees get
Report templates in your brand, under co-brand or white-label.
Biomarker AnalyticsIllustrative preview
S100A12
IL1B
ISG15
CCR7
TCF7
PRF1
HSPA5
same-sex reference rangethis patient
Module 02

Biomarker Analytics

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

Clinicians see
Every panel gene placed against the same-sex reference population, the outliers first.
Licensees get
The same views themed to your interface, or piped through the API.
Data ExplorerIllustrative preview
IL1B
Cell populationDirectionSignal
CD14 monocytes↑
CD16 monocytes↑
pDCs↑
CD4 T cells·
Module 03

Data Explorer

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

Clinicians see
Filter by gene, cell type or direction and see which populations carry each signal.
Licensees get
Gene-level data your scientific team can query, not just a PDF.
Clinical Scenario SimulatorIllustrative preview
HypothesisWhat if this patient starts a GLP-1 receptor agonist?
Re-running against this patient's data
Inflammasome tone
Insulin signalling
Interferon response
Module 04

Clinical Scenario Simulator

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

Clinicians see
Pose a clinical hypothesis against the patient's own data and re-run it in seconds.
Licensees get
A consult tool that keeps clinicians working inside your platform.
Outcomes & MonitoringIllustrative preview
BaselineLoadingMaintenance
Peptide-specific labWearable trend (HRV)
Module 05

Outcomes & Monitoring

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

Clinicians see
Peptide-specific labs and wearable trends tracked across dosing phases, between screens.
Licensees get
A monitoring loop that brings patients back to your menu between draws.
Cellular Aging ProfileIllustrative preview
Immune agewhich compartments are aging fastest, and which hallmarks drive it
Genomic instabilityTelomere attritionEpigenetic alterationProteostasisAutophagyNutrient sensingMitochondriaSenescenceStem-cell exhaustionCommunicationInflammationDysbiosis
Module 06

Cellular Aging Profile

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

Clinicians see
Immune age, senescence and the 12 hallmarks of aging from one PBMC sample.
Licensees get
A preventative-health line item you can list under your own name.
Longitudinal ScreeningIllustrative preview
IL1B · CD14 mono
↓
ISG15 · CD16 mono
·
CCR7 · CD4 T
↑
DDIT3 · NK
↓
Screen 1Screen 2
Module 07

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.

Clinicians see
Re-assay and see exactly which genes moved, in which cells, since the last screen.
Licensees get
Re-assay built into the product, so the second test is part of the plan.
Hover or tap a module to stop on it. Previews are illustrative.
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
◆ Illustrative, not testimonial. These show the kind of read the report supports, drafted from clinician personas during beta design rather than quoted from named practitioners. Reviews from the founding pilot will replace them.

Benchmark up to five athletes, at the founding rate.

Join the founding pilot: up to five of your own athletes at $1,800 each, 14% below the standard rate, invoiced only for the ones you send. Founding rates lock for twelve months if you go forward, and every pilot practice is a design partner with a say on what gets built. Open to a limited cohort of sports and performance practices.