Using AI & deep learning to tackle skin cancer, asthma, allergies and eczema

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2y ago update
In Sweden, about 20% of all children are born with atopic dermatitis, commonly known as atopic eczema – a chronic skin condition, closely linked to asthma, allergies and hay fever, that causes suffering and severely limits the quality of life of those afflicted. Until recently, a biopsy (skin sample) has been the only method of examining the skin barrier and detecting atopic skin, making it too expensive and invasive for all children. 

By utilizing AI and Electrical Impedance Spectroscopy (EIS), the Swedish based SciBase have been able to develop methods for analyzing the state of the skin barrier using an AI powered pen.

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.

Attributes

Health
Production, Research & Development
Better Customer Experience, Better Quality, Smarter Product or Service
Professional
Prediction, Vision
Clustering, CNN, Machine Learning, Supervised
Image Data, Sensor Data, Unstructured Data
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Resources

2021-11-19 20:16 Image
2021-11-19 20:03 Video

Measuring the barrier to detect atopic dermatitis

SciBase have conducted extensive research together with Prof. Dr. Cezmi Akdis, MD from University Zurich, SIAF in Davos. By utilizing AI and Electrical Impedance Spectroscopy (EIS), they have been able to develop methods for analyzing the state of the skin barrier.