AI is completely reshaping life sciences, medicine,
    and healthcare as an industry. To further that transformation, AXONEURE is democratizing deep learning by providing an end-to-end AI computing platform designed for the healthcare community.
    These solutions are helping to foster collaboration, while at the same time keeping each institution’s information secure.

  • DEEP


    Deep learning solutions can be used to design more sophisticated neural networks for healthcare and medical research applications—from real-time pathology assessment to point-of-care interventions to predictive analytics for clinical decision-making. Innovations in AI are advancing the future of precision medicine and population health management in unbelievable ways.



    AXONEURE believes machine learning is the life-saving technology that will transform healthcare. This technology challenges the traditional, reactive approach to healthcare. In fact, it’s the exact opposite: predictive, proactive, and preventative—life-saving qualities that make it a critically essential capability in every health system.



    Neuromorphic computing promises to dramatically improve the efficiency of important computational tasks, such as perception and decision making. While software and specialized hardware implementations of neural networks have made tremendous accomplishments, both implementations are still many orders of magnitude less energy efficient than the human brain.


Artificial intelligence (AI) in healthcare is the use of algorithms and software to approximate human cognition in the analysis of complex medical data. Specifically, AI is the ability for computer algorithms to approximate conclusions without direct human input. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes.[1] AI programs have been developed and applied to practices such as diagnosis processes, treatment protocol development, drug development, personalized medicine,and patient monitoring and care. Medical institutions such as The Mayo Clinic, Memorial Sloan Kettering Cancer Center[2], Massachusetts General Hospital[3], and National Health Service,[4] have developed AI algorithms for their departments. Large technology companies such as IBM[5] and Google[4], and startups such as Welltok and Ayasdi,[6] have also developed AI algorithms for healthcare..

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From advancing the fight against breast cancer to tracking vaccinations in developing countries, AI and deep learning are helping to solve today’s most urgent healthcare challenges.

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Listen to Dr. Bradley Erickson, a Mayo Clinic neuroradiologist, discussing the use of AI to predict tumor genomics using MRIs

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In this TedX talk, NVIDIA’s Abdul Hamid Al Halabi discusses the prospect of using artificial intelligence to open new possibilities in healthcare.

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Healthcare has struggled with data sharing for a long time but, even still, experts said the future will be robust as emerging technologies and standards become more common.

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The patient monitoring company says the technology, developed at the University of Chicago, will allow health systems to better manage patients' risk of adverse events.

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Hospitals say the AI method is in use today automating things humans do well but don't have the time for – and there's much more to come.

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Nvidia Partners With CSIR to Set-up AI Innovation Centre in Delhi

The CEERI-Nvidia Centre of Excellence (CNCoE) will be powered by a five-petaflop AI supercomputer, India's first industrial AI supercomputer, at CEERI's New Delhi campus, Nvidia said in a statement.

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Microsoft Acquires AI Startup Bonsai

Microsoft said its acquisition of the small startup is "another major step forward in our vision to make it easier for developers and subject matter experts to build the "brains -- machine learning model for autonomous systems of all kinds."

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Google Brings AI-Based 'Lens' Feature to Xperia Handsetsi

The upgraded "Google Lens" is an Artificial Intelligence (AI)-based platform that provides helpful features, links and instant details about whatever the user wishes to see in the viewfinder.

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New AI System Could Teach Robots to do Household Chores

The researchers demonstrated VirtualHome in a 3D world inspired by Sims - a life-simulation video game.

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