Cloud computing and machine learning to help give more personalised care

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It was recently reported at the AWS Healthcare and Life Sciences Virtual Symposium that using cloud computing, machine learning, and voice-controlled devices could help hospitals and businesses provide better and more personalized care for patients.

Indeed, the chief medical officer for Grail stated that his company was using cloud computing in order to detect cancer early, at a stage where it is still easy to treat. In order to do so, they use a blood test to screen for multiple cancers at once and identify more than 50 types of cancers.

This detection test is using genomic and machine learning to look for epigenetic changes in a person’s DNA that could be a sign of mutations caused by cancer. So far, the test is said to have a positive predictive value of 44%.

The company also noted that it had migrated its core processing and analytical infrastructure from on-premises to a cloud platform in order to better use storage, compute, and network services offered by AWS.

Other companies all over the world are also starting to use machine learning, artificial intelligence, and cloud computing to improve the care and treatments of patients as well as to find better and more promising solutions for illnesses.

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