Now in clinical development and validation

Predictive digital twins built from individual patient data. Bringing patients from the future into the present.

See how it works Read the science
Patient Data
ID 4827-A | Female, 62 | Day 3 ICU
Heart Rate
104 bpm
Temp
38.9 °C
WBC
14.2 k/μL
0h
+8h
→
Digital Twin
Sepsis onset
78%
Organ failure
45%
Cardiac event
12%
Elevated risk detected Sepsis probability rising. Projected onset within 3.1 hours. Confidence 84%.
Patient Data
ID 7391-C | Male, 71 | Day 1 ICU
Heart Rate
132 bpm
MAP
58 mmHg
Lactate
3.8 mmol/L
0h
+8h
→
Digital Twin
Cardiac event
67%
Sepsis onset
22%
Organ failure
38%
Elevated risk detected Cardiac deterioration trending. Projected event within 1.8 hours. Confidence 91%.
Patient Data
ID 2156-B | Male, 54 | Day 5 ICU
Creatinine
3.2 mg/dL
Bilirubin
4.1 mg/dL
SpO2
91%
0h
+8h
→
Digital Twin
Organ failure
81%
Sepsis onset
52%
Cardiac event
15%
Elevated risk detected Multi-organ risk escalating. Renal and hepatic markers diverging. Confidence 89%.
Featured & supported by
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The problem

Medicine collects data.
The tools to interpret it are decades behind.

10,000+
data points generated per ICU patient daily.
Schenck et al., J Biomed Inform 2021
~80%
of clinical data goes unused in decision-making.
Pickering et al., Crit Care Med 2013
6–48h
of warning signs typically precede deterioration events.
Tanii et al., Resuscitation Plus 2024
The solution

One engine.
A twin for every patient.

Chromatwin Clinical

ICU deterioration prediction

A continuously updating predictive digital twin built from each patient's own physiological data.

How it works

From data to foresight

01

Ingest

Continuous patient data collection

02

Model

Individualized digital twin creation

03

Simulate

Forward-looking trajectory prediction

04

Act

Actionable clinical insights

The science

Built on individual
physiology, not
population statistics

Traditional risk scores collapse a patient's entire physiological complexity into a single number derived from population averages. Chromatwin inverts this. Every prediction is generated from that individual's own longitudinal data, making each patient their own benchmark.

The future of your
patient is already here.

Request early access or connect with our clinical team.