Jun 1, 2020

AWS, Patriot One collaborate on COVID-19 AI project

Technology
Artificial intelligence
William Smith
2 min
Defence technology firm Patriot One technologies has announced it is collaborating with a number of organisations on a COVID-19 AI project
Defence technology firm Patriot One technologies has announced it is collaborating with a number of organisations on a COVID-19 AI project.

Patriot One...

Defence technology firm Patriot One technologies has announced it is collaborating with a number of organisations on a COVID-19 AI project.

Patriot One Technologies’ subsidiary Xtract AI, Amazon Web Services, Vancouver General Hospital, the University of British Columbia and SapienML are using data from CT and X-ray scans, labelled by radiologists, to train an AI network to identify abnormalities in the lungs, a key indicator for COVID-19. 

Martin Cronin, CEO of Patriot One Technologies said in a press release: “This is an incredibly important project, which we are proud to be a collaborator on, and we hope that our team and technology can provide a meaningful addition to the ongoing efforts to minimise COVID-19’s impact on the world.”

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“AI models are not magic, but this model we’ve developed is an open source gift to start answering questions,” said Dr. William Parker, who is leading the project, and is a radiology resident at UBC. “If we are going to get to the point of helping patients, we need to know the strengths and weaknesses of the models, and we need to have an understanding that not all models are created equal. The goal of our AI model is to drive feedback so that we can improve the model and make it available for clinical use in the fall of 2020.”

This is far from the only example of technology firms bringing their AI and data credentials to bear on the pandemic. Recently, technology firm NVIDIA expanded its Clara healthcare platform - a framework for AI-powered imaging, genomics, and for the development and deployment of smart sensors - with genome sequencing software, AI models to help with disease detection and video analytics and speech recognition software to reduce staff exposure in hospitals.

Elsewhere, Hitachi Vantara and healthcare blockchain firm BurstIQ collaborated on exposing datasets on COVID-19 to researchers and clinicians, in order to establish its relationship with other health conditions.

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Jun 22, 2021

NeuTigers: edge AI in healthcare

edgecomputing
edgeAI
AI
prediction
3 min
We take a look at edge AI and how NeuTigers is driving this forward in healthcare

What is edge AI? 

Edge AI is essentially a combination of edge computing and artificial intelligence. Algorithms are processed locally - directly on a mobile device or server - rather than in the cloud. This reduces cost, computing power and energy requirements. There are also claims that edge AI is so fast it is possible to reach near real-time analytics

Edge AI devices include smart speakers, smart phones, laptops, robots, self-driven cars, drones, and surveillance cameras that use video analytics. 

Who is NeuTigers? 

NeuTigers is a spin-off company from Princeton University, formed in 2018 to apply edge AI and machine learning to solve challenges in healthcare, energy, productivity, and security. 

With offices in Princeton, NJ, the company is based at one of the top AI accelerator programs of FutureLabs in New York, and has also established a subsidiary in Nice, France.

How is NeuTigers applying edge AI to healthcare? 

The NeuTigers AI Technology Stack uses deep  neural networks that mimic how the human brain perceives and interprets the world. The company has developed the StarDeepTM Smart Health Platform for health monitoring and biomedical imaging, to improve the accuracy and speed of diagnosing diseases. 

NeuTigers say the platform has the potential to monitor and screen for thousands of conditions,  when used in combination with medical devices and  smart sensors already deployed in healthcare settings. 

Are there any real world examples? 

In January NeuTigers launched CovidDeep, a tool that predicts COVID-19 with more than 90% accuracy, using physiological data from a wristband along with blood pressure and blood oxygen readings. It then analyses the data and gives a prediction within two minutes. 

This week NeuTigers announced a new study to detect the early signs of  complications with sickle cell anaemia.  Conducted at a hospital in Paris, the research will begin by looking at changes to skin response, heart beat, sleep and temperature to predict an acute episode of sickle cell anaemia, and how this impacts on the patients’ disease conditions and quality of life. 

The second phase of the project is to expand with prospective studies across different sites in EU, Africa  and the US to explore the models' accuracy and clinical effectiveness. 

They say...

Adel Laoui, CEO and founder of NeuTigers, says: “The best way to deal with a crisis is to avoid it happening in the first place. We are now entering a new era where medical early warning systems have become a reality. 

“We are excited at the possibility of deploying a technology that can save lives of patients dealing with sickle cell anaemia. The potential of the StarDeep platform to dramatically improve patient outcomes while slashing some of the highest costs of healthcare makes it one of the most exciting developments in preventative personal medicine.”

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