Microsoft Korea and Samsung Seoul Hospital sign new MOU
Samsung Seoul Hospital has recently partnered with Microsoft Korean in order to build a new artificial intelligence precision medical system, utilising Microsoft Azure. The Memorandum of Understanding (MOU) was signed by both parties at the Samsung Medical Centre (SMC) on Monday.
The agreement covers the sharing of information and analysing of medical data within this new cloud platform, which will enable better informed clinical decision surrounding the delivery of patient care. The technology will also allow the growth of disease-specific prediction models.
Microsoft Korea will work to implement the IT infrastructure required in order to undertake essential medical data processing and analysis. SMC will also work to promote three new AI pilot research projects, which cover genome data, sleep data and image and video data.
"I am confident that Samsung and Microsoft will collaborate in the medical AI field to confirm the feasibility of cloud-based AI research that is expected to be activated in the future, and to achieve substantial results," commented Soondong Koh, Chief Executive Officer at Microsoft Korea. “We look forward to continuing to work together to build AI-based precision medical systems. "
"The signing of this MOU is meaningful in that it meets medical and IT technologies and provides practical solutions to improve the quality of life,” he added.
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"By actively supporting Microsoft's world-class AI, machine learning, and cloud technologies, we will help Samsung Medical Center achieve stable and successful digital transformation in the medical field.”
The company will work to create a new deep learning system which will house the ability to predict lung fibrosis accuracy through the use of image data, such as X-rays. A deep learning algorithm will also be implemented surrounding the use of sleep data, in order to predict chronic, long-term conditions such as sleep apnoea.
SMC has also worked strenuously to develop a new medical research information platform as a result of its ambitions to create a new health-centered AI infrastructure. Through utilising Microsoft’s artificial intelligence algorithm and cloud infrastructures, the two company’s have built new AI models for disease specific AI diagnosis, such as diagnosing early stage cancers.
Additionally, the agreement will see Microsoft provide essential training to SMC’s medical staff to ensure they are fully aware of the long-term advantages of AI and how it will complement up and coming healthcare-models.
The agreement furthers Samsung’s dive into the healthcare space, where its division, Samsung Electronics, is looking at building mental health programs through the use of virtual reality (VR) technology. The tech giant has partnered with Gangnam Severance Hospital and FNI with ambitions to deliver this service to acute care settings by 2018.
NeuTigers: edge AI 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.
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.”