Objectives

By detecting which children have a compromised skin barrier at birth, there is a potential to identify those with a higher risk of developing eczema, allergies, or asthma. Then those children could be managed differently. 

Through preventive healthcare the risk could be reduced of children developing these conditions that severely affect their lives — and also become a huge burden to the healthcare system.

Solution

Through the combination of electrical impedance data emerging from sending electrical signals through the skin, and a convolutional neural network, Scibase were able to build an AI powered pen that can analyse the skin barrier’s likelihood of being compromised without the need of a biopsy.

Outcome

Through the power of AI, the Scibase invention provides a novel way of non invasively detecting the quality of skin barrier at birth, reducing the risk of developing conditions – massively improving quality of life.

Nevisense Go is a handheld and fully portable device the size of a large pen. It combines the company’s core EIS measurement technology with a new AI-based analysis platform embedded in the device. Each measurement gathers 220 datapoints, from 1 kHz to 1MHz at 10 permutations and 4 depth settings, providing comprehensive analysis of the area being measured.

The result is a flexible tool that will allow easy collection of data and development of new applications.