AI Case Study

Israel Institute of Technology researchers are developing a nano-array to automatically diagnose a number of diseases from exhaled breath

Israel Institute of Technology researchers are developing a nano-array to automatically diagnose 17 diseases from exhaled breath. The nano-array will be based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases. Tests so far have shown up to 86% accuracy.

Industry

Healthcare

Healthcare Equipment And Supplies

Project Overview

"Researchers at Israel Institute of Technology are working on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The molecules exhaled are different for each disease and diseases can be readily identified.
Analysis of the artificially intelligent nanoarray also showed that each disease has its own unique breathprint, and that the presence of one disease would not screen out others. Cluster analysis showed a reasonable classification power of diseases from the same categories.
This could be used for personalized screening, diagnosis, and follow-up of a number of diseases."

Reported Results

Non-invasive detection of 17 types of diseases with 86%(so far) accuracy.

Technology

Function

Strategy

Data Science

Background

Non-invasive diagnosis of diseases could help early diagnosis and help prioritise and speed up primary care.

Benefits

Data