The business case for diversity: powering innovation in AI Med

Research has shown that, within industry, diverse teams yield better results than homogeneous ones [1,2]. This is particularly true within creative or enterprising endeavors [3,4], which is characteristic of both research and entrepreneurship in the AI Med field. A well-rounded team representing multiple different backgrounds and perspectives will find better solutions to problems and will…

clinical genomics artificial intelligence healthcare medicine

AI moves Clinical Genomics to an era of Clinical Phenomics

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 it is disparate and often unstructured. Heterogeneity…