£130m in new tech to provide faster diagnosis

Thousands of NHS patients could receive faster diagnosis and better treatment for life-changing diseases like cancer, dementia and Parkinson’s.

The government is investing £133 million in life-changing treatments for arthritis and cancer and for pioneering gene-based therapies for diseases including dementia and Parkinson’s.

As part of this, £50 million will be made available for NHS diagnostic services to boost the delivery of faster, more accurate diagnosis, and earlier interventions. The investment will also support the work of existing Centres of Excellence in digital pathology and imaging with artificial intelligence. The centres – based in Leeds, Oxford, Coventry and London – will be able to partner with more NHS trusts and further develop cutting edge products using digital systems and artificial intelligence that could ultimately save lives.

Health Secretary Matt Hancock said: “We’ve got to bring NHS technology into the 21st century. I’ve seen for myself how better technology and diagnosis can save clinicians’ time so they can concentrate on care. The NHS is now spearheading world-leading technologies that can transform and save lives through new treatments, diagnosis techniques and care. I’m determined that the benefits of these advances will improve the lives of thousands of patients whose conditions have long been considered life-limiting. Combined with this new funding, none of this would be possible without the long-term plan, backed by an extra £33.9 billion a year for the NHS.”

Business Secretary Andrea Leadsom said: “Chronic and painful illnesses like arthritis and Parkinson’s are dreadful and prevent people from living a full life. Curing these kinds of debilitating illnesses is one of the great challenges we face globally, and today’s commitment will play a vital role in ensuring that our scientists and thinkers have the tools they need to find new treatments that will support people to lead longer, healthier lives.”

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This story was first published in digitalhealth.net

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