IBM has confirmed it cut an undisclosed number of jobs at Watson Health, but asserts the cognitive solutions unit is still its “moon shot”.
Sometimes a new company catches the eye, and this week that company is nference, a Cambridge MA-based start-up developing AI technology to discover and develop drugs more effectively. AI is no longer new in this space, so why does nference grab our attention?
The U.K. Prime Minister, Theresa May has made her first appearance in a series on industrial strategy, whereby she has pledged millions of pounds of government funding to develop artificial intelligence to transform outcomes through early diagnosis of cancer and chronic disease.
Researchers have learned that artificial intelligence resembles the working of a human brain, opening up new possibilities to test how the brain works.
The Allen Institute for Cell Science has launched the first predictive and comprehensive, 3D model of a live human cell.
While some people are warning about artificial intelligence leading to killer robots, researchers are showing the positive impact of A.I. in its potential to overcome disease.
SOPHiA GENETICS, has announced that its technology for clinical genomics has reached a key milestone in helping better diagnose 200’000 patients. Already deployed in over 430 hospitals across 60 countries SOPHiA analyses today 1 patient every 5 minutes.
Deep learning computers in a diagnostic imaging lab routinely defeat their human counterparts in diagnosing heart failure, detecting various cancers and predicting their strength.
We have achieved so much since the full human genome sequence was published for the first time, can you believe that was over fifteen years ago this month?
AI genomics company Freenome has announced a partnership with proteomics company Biognosys, to enhance its broad-signal approach to early-cancer detection and precision oncology.
The Food and Drug Administration (FDA) has, for the first time, approved an artificial intelligence diagnostic device that doesn’t need a specialised doctor to interpret the results.
The full benefit of using AI-tools to make predictions and take alternative actions can’t be realised without careful consideration of the accompanying ethical pitfalls, say researchers.