May 17, 2020

Why India needs to adopt mHealth to enhance traditional models

2 min
mHealth makes care more accessible, faster and less expensive.
The Indian health care system still lags behind other nations in terms of mHealth adoption, but as the global adoption becomes a reality, the next few y...

The Indian health care system still lags behind other nations in terms of mHealth adoption, but as the global adoption becomes a reality, the next few years are exciting times for India—specifically to solve the issue of caring for a population of 1.3 billion.

mHealth makes care more accessible, faster and less expensive. Both factors of cost reduction and accessibility will primarily drive the adoption of mHealth in India since, as of now, 70 to 80 percent of health care expenses are out of pocket, according to Advisor Healthcare.

RELATED TOPIC: Why you should invest in the medical device and mHealth market

Health care has to be very personal in order to provide the best care possible, and mHealth allows for that via increased preventive care, participatory care and better communication between patients and doctors.

What are the barriers to adoption?

While mHealth seems like an overall positive adoption for the Indian health care system, there are still a few concerns from industry professionals.

RELATED TOPIC: 6 ways to successfully drive an mHealth project

One being that some doctors perceive mHealth as a disruption to their traditional models. With a more patient-focused model where independence begins to thrive, doctors are resistant to this loss of control.

There is also the importance of the need to balance privacy and convenience. While other nations who have already adopted mHealth are also learning how to optimize data security while also maintaining accessibility and ease of use, being a new health model in India, this concept will have to be explored greatly in India.

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Leveraging the full potential of mHealth in India will take some time, but it is an area of growth and opportunity that can enhance the level of care provided. 

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Jun 22, 2021

NeuTigers: edge AI in healthcare

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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