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Artificial Intelligence-Supported Colorimetric Multibiomarker Sensor to Enable Critical Neonatal Monitoring.

Alejandra Castelblanco^1,2, Elisabetta Ruggeri³, Giusy Matzeu³

¹Computational Health Center, Helmholtz Center Munich, Neuherberg 85764 Germany.

|May 28, 2026

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This summary is machine-generated.

A new noninvasive, AI-powered wearable sensor uses colorimetric analysis of body fluids to monitor vital signs in newborns. This silk-based patch tracks temperature, pH, sodium, and glucose, offering a less invasive alternative for neonatal care.

Area of Science:

Biomedical Engineering
Wearable Technology
Neonatal Monitoring

Background:

Current neonatal monitoring methods are often invasive, costly, and uncomfortable.
There is a critical need for noninvasive, real-time monitoring solutions for vulnerable neonates.

Purpose of the Study:

To develop and validate a noninvasive, AI-supported multibiomarker sensor for critically ill preterm neonates.
To enable real-time tracking of key physiological parameters through colorimetric analysis of body fluids.

Main Methods:

A silk-based wearable patch with twelve colorimetric inks was developed.
The sensor tracks temperature, pH, sodium, and glucose via colorimetric analysis of transepidermal fluid.
Deep learning algorithms were employed for precise quantification of colorimetric responses.

Keywords:

AI colorimetric readout biofluid colorimetric sensors computer vision newborns neonatal incubator newborn biomarker noninvasive monitoring transepidermal fluid wearable skin sensors

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Main Results:

The sensor demonstrated high precision and reproducibility in clinically relevant neonatal ranges.
AI-based quantification achieved high-precision estimates for all monitored biomarkers.
The sensor maintained performance under various challenging clinical conditions, including humidity and movement.

Conclusions:

This noninvasive, AI-supported sensor offers a promising new approach for intensified monitoring in neonatal intensive care.
The miniaturized, wearable design and robust performance cater to the critical needs of high-risk infant populations.
Transepidermal fluid analysis via this sensor opens new avenues for noninvasive clinical monitoring.