12 acute GDEs to receive share of £200m investment for cancer tech
Twelve of the acute Global Digital Exemplars (GDEs) are to receive a share of £200m investment to upgrade cancer testing and detection technology.
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Imaging, robotics and AI to form part of new international cancer research
Charities and universities have teamed up to form the International Alliance for Cancer Early Detection to develop new strategies for detecting cancer.
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Sensyne Health CEO believes data sharing confidence ‘will increase’
The Sensyne Health CEO was asked at Giant Health whether he thought the public would become “more relaxed” about sharing their health data.
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Digital health and genomics ‘should form new pillars of life science industry’
Three industries, genomics; digital health; and early diagnosis be critical to the UK continuing to lead in the field of life sciences, Sir John Bell said.
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Microsoft reports ‘encouraging increase’ of AI in UK healthcare
Nearly half of UK healthcare leaders reported that their organisation used artificial intelligence, reflecting an 8% increase compared to 2018.
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BHF launches £10m national cardiovascular data science centre
The centre will draw data from NHS medical records, national registries and other datasets to explore new therapies and medical breakthroughs.
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Beyond skin deep: using machine learning to prevent 250,000 cancer deaths
SkinVision is on a mission to 250,000 lives in next decade through the early detection of skin cancer using machine learning. Digital Health’s Owen Hughes caught up with SkinVision CEO, Erik de Heus, at the Intelligent Health conference in Basel to find out more.
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SilverCloud and Microsoft apply AI smarts to digital therapeutics
The companies hope to identify patterns of successful therapy and support that could be used to improve the effectiveness of digital therapeutics.
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NHS Vale of York rolls out predictive analytics to cut A&E admissions
Health Navigator uses analytics and machine learning techniques to identify patients who may benefit from health coaching.
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Diversity in digital health ‘is a matter of patient safety’
Without a diverse and inclusive team “unconscious bias” can be built into technology, ultimately putting patients at risk.
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