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It feels as if a superhuman effort is needed to help ease the global pandemic killing so many.

Artificial intelligence may have been hyped - but when it comes to medicine, it already has a proven track record.

So can machine learning rise to this challenge of finding a cure for this terrible disease?

There is no shortage of companies trying to solve the dilemma.

Oxford-based Exscientia, the first to put an AI-discovered drug into human trial, is trawling through 15,000 drugs held by the Scripps research institute, in California.

And Healx, a Cambridge company set up by Viagra co-inventor Dr David Brown, has repurposed its AI system developed to find drugs for rare diseases.

Source: www.bbc.com

A system that uses machine learning to predict upcoming demand for intensive care beds and ventilators is being trialled by the NHS.

The Covid-19 Capacity Planning and Analysis System (CPAS) aims to support hospitals to more accurately plan and ensure resources are deployed where they’re most needed to treat patients.

It will focus on demand in individual hospitals and across regions in England, as the NHS looks to mitigate the unprecedented pressure placed on services by the coronavirus outbreak.

The tool is designed to help hospitals predict how many patients may need an ICU bed, how many may require ventilators and how long patients are likely to be in hospital. First stage trials have begun in four hospitals.

Professor Jonathan Benger, NHS Digital’s chief medical officer, said: “With the pressure being placed on intensive care by the current coronavirus pandemic it is essential to be able to predict demand for critical care beds, equipment and staff.

Source: www.digitalhealth.net

Seven witnesses submitted statements and answered questions, leaving Senators with promising tech ideas, legislative priorities and words of caution.

Source: www.mobihealthnews.com