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Detecting cancer in real-time with machine learning



Google

Learn more about our research efforts to create a machine learning and augmented reality-powered microscope for real-time detection of cancer, helping to make pathologists more efficient and ultimately to save patient lives.

Learn more: https://research.googleblog.com/2018/04/an-augmented-reality-microscope.html

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32 thoughts on “Detecting cancer in real-time with machine learning
  1. But is this possibly could make doctors lazy in order to streamline diagnoses. In order for this to be viable there would have to be experiments done that can prove this technology is, at the very least, more effective than humans at recognising these cancerous cells

  2. Cancer cells can be detected during its initial stages by d formation f grey anatomy ,however in d case f breast cancer its so evident dat it can be found by d formation f d cells surroundind d tissue,
    Chemotherapeutic treatments will give u a brief idea in detecting d type f cancer n d origin of d cells,
    PUNK

  3. I am recovering from kidney loss due to cancer. Had they detected my cancer sooner, I would not have lost my kidney. Way to go Google, Thank you for all of your hard work and dedication to this monsterous disease. We are all affected in some way, whether it be directly or indirectly. I never thought it could happen to me, but it has. Diligent, steadfast and preciseness are very important assets to productive research and development and I'm so proud to be a Google user. #cancerkills

  4. This is fake dont believe this ,cannabis is a perfect healer of DNA and endocrine system and balances your organism to not produce cancer,its called the endocannabinoid system

  5. There are patents already granted for the treatment and prevention of cancer in Canada and the USA.
    I have the patent numbers.

  6. I guess it was things like this that Vannevar Bush spoke about ….. the symbiotic relationship between man and machine ….. not one like SkyNet …. still good work Google.

  7. Note the camera on the microscope, made by Jenoptik. Another reason why I am proud to be one of the Jenoptik team.

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