Artificial intelligence in detecting ovarian cancer and predicting flu

Artificial intelligence used to detect women with deadliest ovarian cancer | #TpromoCom #AI #Health #Cancer | AI in predictive health care appears to have no limits. Here are two examples where it can save lives and predict illnesses.

Technique picks out worst forms of disease that would not be recognized by conventional methods. As you can imagine, there are some forms of cancer that cannot easily be detected by the usual means that doctors use. One of the most common methods of detecting cancer involves an analysis of white to red blood cells within the circulatory system. At the same time, knowing which kind of cancer involves is critical to a successful cure. –Al Colombo, Security eNews


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In research published in Nature Communications, the researchers used their computer tool to test tissue samples from more than 500 women with ovarian cancer. In total the AI scanned nearly 150 million cells. –Gabbatiss, Science Correspondent with the Independent.

Harnessing Multiple Data Streams And Artificial Intelligence To Better Predict Flu | #TpromoCom #AI #Flu #Health | Influenza is highly contagious and easily spreads as people move about and travel, making tracking and forecasting flu activity a challenge.

While the CDC continuously monitors patient visits for flu-like illness in the U.S., this information can lag up to two weeks behind real time. A new study, led by the Computational Health Informatics Program (CHIP) at Boston Children’s Hospital, combines two forecasting methods with machine learning (artificial intelligence) to estimate local flu activity. Results are published today in Nature Communications.

When the approach, called ARGONet, was applied to flu seasons from September 2014 to May 2017, it made more accurate predictions than the team’s earlier high-performing forecasting approach, ARGO, in more than 75 percent of the states studied. This suggests that ARGONet produces the most accurate estimates of influenza activity available to date, a week ahead of traditional healthcare-based reports, at the state level across the U.S. To read the remainder of this informative news article, click here.

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