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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Aug 4, 2021

C. Light aim to detect Alzheimer's with AI and eye movements

alzheimers
AI
Technology
healthcare
3 min
C. Light aim to detect Alzheimer's with AI and eye movements
C. Light Technologies will use AI to study eye movements and monitor the progression of Alzheimer's

 C. Light Technologies, a neurotechnology and AI company based in Boston, has received funding for a pilot study that will assess changes in eye motion during the earliest stage of Alzheimer's, known as mild cognitive impairment. 

C. Light Technologies has partnered with the UCSF Memory and Aging Center for this research. As new therapeutics for Alzheimer’s are introduced to the clinic, this UCSF technology has the potential to provide clinicians a better method to measure disease progression, and ultimately therapeutic efficacy, using C. Light’s novel retinal motion technology.

Eye motion has been used for decades to triage brain health, which is why  doctors asks you to “follow my finger” when they want to assess whether you have concussion. In more than 30 years of research, studies have revealed that Alzheimer’s disease patients' eye movements are affected by the disease, though to date, these eye movements have only been measured on a larger scale.

C. Light’s research takes the eye movement tests to a microscopic level for earlier assessments. Clinicians can study and measure eye motion on a scale as small as 1/100th the size of a human hair, which can help them monitor a patient’s disease and treat it more effectively.

The tests are also easy to administer. Patients put their chin in a chinrest and  focus on a target for 10 seconds. The test does not require eye dilation, and patients are permitted to blink. A very low-level laser light is shown through the pupil and reflects off the patient’s retina, while a sensitive camera records the cellular-level motion in a high-resolution video. This eye motion is then  fed into C. Light’s advanced analytical platform.

“C. Light is creating an entirely new data stream about the status of brain health via the eye,” explains Dr. Christy K. Sheehy, co-founder of C. Light.  “Our growing databases and accompanying AI can change the way we monitor and treat neurological disease for future generations. Ultimately, we’re working to increase the longevity and quality of life for our loved ones." 

At the moment developing therapeutic treatments for the central nervous system is difficult, with success rates of only 8% to go from conception to market. One reason for this is the lack of tools to measure the progression of diseases that impact the nervous system. 

Additionally clinical trials can take a decade to come to fruition because the methods used to assess drug efficacy are inefficient. C. Light believe they can change this. 

“Before this year, it had been almost 20 years since an Alzheimer’s drug was brought to market" explains Sheehy. "Part of the reason for this very slow progress is that drug developers haven’t had viable biomarkers that they can use to effectively stratify patients and track disease on a fine scale. The ADDF’s investment will allow us to do that." 

C. Light has received the investment from the Alzheimer’s Drug Discovery Foundation (ADDF) through its Diagnostics Accelerator, a collaborative research initiative supported by Bill Gates, the Dolby family, and Jeff Bezos among other donors. 

C. Light recently completed its second and final seed round raising $500,000, including the ADDF investment, which brings their total seed funding to more than $3 million. Second round seed funders included: ADDF, the Wisconsin River Business Angels, Abraham Investments, LLC and others.
The ADDF’s Diagnostics Accelerator has made previous investments in more than two dozen world-class research programmes to explore blood, ocular, and genetic biomarkers, as well as technology-based biomarkers to identify the early, subtle changes that happen in people with Alzheimer’s. 

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