Google has launch an open-source cloud API to help address interoperability challenges in the healthcare industry, and enable organisations to run machine learning an analytics on clinical data.
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Ahead of HiMSS18, Microsoft has announced a slew of projects aimed at helping global healthcare providers harness the power of artificial intelligence and the cloud.
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A British health tech start-up has signed a Memorandum of Understanding (MoU) with Johns Hopkins University to explore new healthcare solutions using machine learning and patient monitoring technologies.
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At least 15 trusts in England are said to be interested in new machine learning software designed to support the diagnosis of heart disease, which its developer is planning to offer for free to the NHS.
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Merck Sharp & Dohme and Wayra UK are seeking startups using machine learning and artificial intelligence to support disease and illness prevention.
Researchers say machine learning could offer insight into how individual patients respond to different medication, based on the structure of their brain.
Staff from Hyland Software enthused about the potential of machine learning in healthcare as they displayed the firm’s new suite of enterprise imaging applications at the OnBase Summit in Berlin last week.
Imagining quite where technology will take healthcare is far from a straightforward task. But when Claire Read visited exhibiters in the innovator zone at last week’s Health and Care Innovation Expo, a few key themes emerged: predictive AI, self-care apps and tech, and e-referrals among them.
Machine learning is starting to show its potential in multiple fields. According to Gareth Baxendale, head of technology for the NIHR Clinical Research Network, clinical trials are no exception. He explains how machine learning holds the promise of faster and more effective trials – at every step of the process.
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