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.
Artificial Intelligence has been going from strength to strength in recent weeks, but its potential doesn’t mean that the diagnostic is ready for the clinic.
A USD $5 million technology prize aims to crack the origin of the genetic code. The Evolution 2.0 Prize was announced at Arizona State University in August 2017. The largest “origin of life” prize to date, it seeks to bridge the gap between chemistry, genomics and modern computing.
The technology used by Facebook, Google and Amazon to turn spoken language into text, recognize faces and target advertising could help doctors combat one of the deadliest killers in American hospitals.
As new technologies power the drive to achieve personalised health care, doctors may find it difficult to keep up with the pace of discovery. However, a recent collaboration between FDNA and the Manchester Centre for Genomic Medicine could soon change this.
Google’s DeepMind has potentially made the first significant application of Artificial Intelligence (A.I.) in healthcare, after developing AI to diagnose disease by analysing medical images.