As the field of Clinical Genomics continues to yield new insights into diseases we are also shifting to a paradigm of phenotypic interpretation. We have more access to health data than ever before with 80% of US hospitals adopting EHR systems and patient generated data growing exponentially. However
A British biomedical research charity is awarding £20 million ($26 million) to disruptive projects using digital technologies and artificial intelligence (AI) for global health. The Wellcome Trust, based in London, has just announced the launch of the Innovator Awards at the AIMed Europe conference
Dr. Spyro Mousses, CEO of Systems Oncology, LLC, announced the launch of the Expansive.AI project today at the AIMed Conference in London, UK to an international audience of leaders in artificial intelligence (AI). Systems Oncology, an AI-based biopharmaceutical company, and its partner, Systems Ima
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) across a larg
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 which
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. Doctors know how
The Promise 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 arrival at correc
Picture Credit: Duncan Hull ? By May D. Wang, PhD, Li Tong, Hang Wu Delivering predictive, precise, participatory, preventive, and personalized health, abbreviated as p-Health, is the primary goal of future healthcare systems to significantly improve care quality while reducing cost. To accomplish t