1. The 'News in Brief' post for w/c 4th Nov can be read by clicking here.
    Dismiss Notice
  2. Welcome! To read the Core Purpose and Values of our forum, click here.
    Dismiss Notice

Press Release: IQuity Launches Healthcare Analytics Platform (predicts MS with 90% accuracy)

Discussion in 'Health News and Research unrelated to ME/CFS' started by Webdog, Jul 26, 2018.

  1. Webdog

    Webdog Senior Member (Voting Rights)

    Messages:
    1,628
    Likes Received:
    10,811
    IQuity has been covered in the forums before, but this looks like new news. IQuity claims they can predict Multiple Sclerosis with 90% accuracy at least 8 months before traditional methods. They also claim their approach "can be applied to any disease".

    IQuity Launches Healthcare Analytics Platform
    Machine learning platform predicts, detects and monitors chronic disease across patient populations
    https://www.prnewswire.com/news-rel...-healthcare-analytics-platform-300685630.html
    Multiple Sclerosis News Today also covers the story from an MS perspective:
    https://multiplesclerosisnewstoday....tform-can-accurately-predict-ms-company-says/
     
    Inara, adambeyoncelowe, Wonko and 2 others like this.
  2. Wonko

    Wonko Senior Member (Voting Rights)

    Messages:
    3,086
    Likes Received:
    22,623
    Location:
    UK
    This concerns me.
    Presumably the reason for increased spending prior to diagnosis is that people have something wrong and are being tested, are they suggesting that with machine learning models money will be saved at this point due to no/reduced testing?
     
    Inara, Skycloud and adambeyoncelowe like this.
  3. mariovitali

    mariovitali Senior Member (Voting Rights)

    Messages:
    324
    Likes Received:
    1,760
    OTOH Machine Learning is going to be disruptive for being able to suggest Biological Targets that are more likely to be relevant to the actual origin of a Disease or Syndrome.
     
  4. Inara

    Inara Senior Member (Voting Rights)

    Messages:
    2,708
    Likes Received:
    10,964
    Or prior to correct diagnosis people are misdiagnosed and go to several doctors in order to get it right?

    Maybe the money-saving-argument has to be mentioned; it's standard nowadays.

    Personally I think machine supported diagnosis has chances. There are so many diseases, so many publications etc. Nobody can be up to date everyday. The doctors I met didn't read new publications or medicine news (with one exception). A computer can check huge databases in a short time. So as a support in diagnosis it could be a great help amd maybe it will avoid some misdiagnoses.

    But it depends on the algorithm and database. If only psychological illnesses are checked or are given higher priority, for instance, it's useless.
     
    Wonko, Trish and adambeyoncelowe like this.

Share This Page