Machine Learning is being used, to great effect, to enhance the value of medical data in the direct-to-consumer genomics space. The success of 23andMe shows the huge potential of consumer-led genomics analysis for scientific research: they recently used ML to collate 600,000 customers’ personalised
By John Cassidy and Harry Clifford
As technologies become ever more sophisticated, the amount of data they produce gets richer: the same is true for genomic data.
Whilst the first genome wide association studies (GWAS) relied on a finite number of single nucleotide polymorphisms (SNPs)
The future of medicine is tailored, bespoke care for each patient at an individual level, and deep learning (DL) is one of the tools which will allow healthcare to reach this lofty goal.
Currently healthcare is burdened by unconnected legacy systems and electronic medical record (EMR) machines wh
Engineers and physicians model systems, and solve problems, differently. It takes years of study and practical experience to learn the ways each field views and navigates the world, and how these differ from the way untrained, inexperienced people think about problems and solutions.
AI has huge potential in the diagnostics space — from improving sensitivity and specificity, to enabling clinicians to assess and measure dimensions that were not previously feasible or practical.
More accurate and consistent diagnostic results will then herald earlier arri
I’m a cancer patient, a cancer mom, and a medical device innovator. Over the past 7 years, I’ve gone from being terrified of needles and hospitals, to spending weeks on end in hospitals, injecting myself – and m