Showing posts with label NHS. Show all posts
Showing posts with label NHS. Show all posts

Tuesday, 4 July 2017

Google may get access to genomic patient data - why we should worry

Artificial intelligence

Artificial intelligence is already being put to use in the NHS, with Google’s AI firm DeepMind providing technology to help monitor patients. Now I have discovered that Google has met with Genomic England – a company set up by the Department of Health to deliver the 100,000 Genomes Project – to discuss whether DeepMind could get involved.

If this were to happen, it could help bring down costs and speed up genetic sequencing – potentially helping the science to flourish. But what are the risks of letting a private company have access to sensitive genetic data?

Genomic sequencing has huge potential – it could hold the key to improving our understanding of a range of diseases, including cancer, and eventually help find treatments for them. The 100,000 Genomes Project was set up by the government to sequence genomes of 100,000 people. And it won’t stop there. A new report from the UK’s chief medical officer, Sally Davies, is calling for an expansion of the project.

However, a statement by the Department of Health in response to a freedom of information (FoI) request I made in February reveals this decision has already been made. The department said in this response that the project will be integrated into a single national genomic database. The purpose of this will be to support “care and research, and the acceleration of industrial usage”. Though it will “inevitably exceed the original 100,000 genomes, we do not anticipate that there will be a set target for how many genomes it should contain”, the statement reads.

The costs of sequencing the genome on a national scale are prohibitive. The first human genome was sequenced at a cost of US$3 billion. However, almost two decades later, Illumina, which is responsible for the sequencing side of the 100,000 Genomes Project, produced the first “$1,000 genome” – a staggering reduction in cost. Applying machine learning to genomics – that is, general artificial intelligence – has the potential to significantly reduce the costs further. By building a neural network, these algorithms can interpret huge amounts of genetic, health, and environmental data to predict a persons health status, such as their level of risk of heart attack.
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Sunday, 11 June 2017

Where it all went wrong for Theresa May

Theresa May, Phillip

When British prime minister Theresa May called a snap general election ahead of Brexit negotiations, it caught almost everyone by surprise. The expectation was that her Conservative party would gain a larger majority,supposedly in order to prevent opposition to any Brexit deal.

However, many suspected it was simply because the polling figures were irresistible. The Tories were far ahead in virtually every opinion poll and anticipated a parliamentary majority of between 80 and 100 if they went to the polls immediately.

As a prime minister without her own general election victory, May clearly hoped that her “hard Brexit” rhetoric would buy her plenty of votes from UKIP, strengthening her grip on Downing Street. However, the past eight weeks have been a disaster for her. She now finds herself the leader of a minority government, with Brexit negotiations due to start in less than two weeks.

A campaign crumbles
The campaign started well for the Conservatives. The expectation was that they would crush Jeremy Corbyn’s opposition. His Labour party was divided on key issues and suffering low poll ratings.

But a leak of the Labour manifesto should have been an early warning for May. With extra funding for the NHS, schools and public sector pay, the document appealed to those exasperated with austerity. As Corbyn began to be more exposed to the public at election rallies and television debates, voters also began to warm to him.

Conversely, the Conservative manifesto launch was shambolic. One of the key pledges was being undermined within 24 hours of publication. The manifesto pledge on social care, nicknamed the dementia tax by its critics, was concerning for many older voters. Coupled with a removal of the triple lock on pensions, the “grey” vote, which the Conservatives have relied upon in recent years, began to look less certain. Concerns were also raised over a more peripheral issue – fox hunting. While not a key issue for many, fox hunting certainly raises temperatures among some voters, and May’s pledge to hold another vote on the issue irritated some.
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