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Machine learning assists with healthcare cancer screening

IBM’s Watson, has made progress in the scanning and detection of cancer.

At present Watson has been deployed as part of a proof-of-concept study within the field of genomic sequencing of cancerous material. This has involved a variant of the cognitive computing technology called Watson for Genomics.

Watson for Genomics is an analytic tool that functions to locate relevant information relating to potential targeted therapeutic options. Watson for Genomics will aid medical staff in analyzing a patient’s tumor’s genomic data and then use this analysis to provide information on potential therapeutic options.

To test out the feasibility of Watson further aiding the digital transformation of healthcare, a new study has been conducted. The study was performed by researchers working at the New York Genome Center at The Rockefeller University. The study involved comparing Watson for Genomics against traditional genome sequencing techniques, looking at how well Watson performed in its ability to derive treatment options from the genomic data. This related to samples of glioblastoma patient cells. Glioblastoma is the most aggressive cancer that begins within the brain.

The trial was declared successful, with Watson for Genomics fully able to provide whole genome sequencing data from the tumour cells within 10 minutes. The traditional method takes 160 hours.

The success has led to IBM entering into partnership with Illumina to use the gene sequencing data to improve Watson’s cancer treatment decisions.

A similar project is taking place at the Jupiter Medical Center in Florida.

These projects not only show the benefits of the digitalization of healthcare they also fit neatly with Joe Biden’s Cancer Moonshot 2020 initiative, which targets cancer cases in U.S. veterans.

In addition, in June 2017 it was announced that the Baheal Pharmaceutical Group will bring Watson for Genomics to clinicians across China.

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