Research lab opens in India focused on deep learning
Medical equipment manufacturer Wipro GE Healthcare has partnered with the Indian Institute of Science (IISc) to open a research lab.
The lab is located at the Department of Computational and Data Sciences (CDS) in Bangalore. It will specialise in healthcare diagnostics, deep learning technology, ML and AI systems. Work will also be done on digital interfaces to produce sophisticated diagnostic and medical image reconstruction techniques.
This research unit will involve around fifty students and three faculty members of IISc to begin with. They will work closely with clinicians as well as Wipro GE Healthcare to integrate computational models into clinical workflows, to help doctors improve patient outcomes.
The partners are aiming for this collaboration between the worlds of industry and academia to solve some of the toughest challenges healthcare faces, using artificial intelligence and machine learning. One of their work streams will be exploring deep learning models to analyse lung lesions caused by COVID-19 via ultrasound and CT images.
Additionally they will apply deep learning models to improve opthalmology imaging, and medical image reconstruction methods.
The IISc was established in 1909 through a partnership between founder of the Tata group Jamsetji Nusserwanji Tata, the Maharaja of Mysore, and the Government of India. Over the 111 years since its establishment, IISc has become a major institution for advanced scientific and technological research and education in India.
Wipro GE Healthcare is supporting the research lab with a grant as part of its CSR efforts. This funding will be used to equip the lab with the necessary hardware and software. This includes state-of-the-art deep learning servers and an advanced visualization platform.
Commenting on the collaboration, Dileep Mangsuli, Chief Technology Officer at GE Healthcare South Asia said: “The world's healthcare is transforming through use of digital technologies which can enable precision health. This transformation can be accelerated by building a collaborative ecosystem of industry and academia partners.
"This Healthcare Innovation Lab at IISc will help bring to market unique digital solutions which will get integrated into our Edison platform and intelligent devices, helping clinicians solve some of the toughest healthcare challenges.”
Prof. Phaneendra Yalavarthy, convener of the lab as well as the Chair of the Office of Development and Alumni Affairs at IISc, said: “Private-Public partnership is in the DNA of IISc and this collaborative lab in the space of artificial intelligence in healthcare funded by Wipro GE Healthcare is timely, given the push for digital technologies.
"Translation of the research work carried out in the lab into the clinic will be the priority, and there is no better industry partner in India than Wipro GE Healthcare that can accelerate this. This is only the beginning of the collaboration and we are hoping to scale up the research activities in the near future.”
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.”