As an angel investor interested in growing healthcare startups, Ari Kellen helps cultivate and guide novel technologies that address underserved medical needs. An example of such an innovative technology involves the use of artificial intelligence to predict newborns' odds of developing food or skin allergies. When implemented properly, AI can enhance physicians' and parents' abilities to provide targeted care for newborns.
Though prominent in a number of areas including neurology and preoperative care, AI and machine learning (ML) are not widely used in prenatal or perinatal care. To produce usable predictions, for example, an ML's creator must provide a large, representative data set, which Myor has now assembled for perinatal and prenatal fields.
AI's potential in perinatal and prenatal care lies in its ability to identify patterns humans cannot. ML can predict an infant's birth weight based on preexisting data, whereas deep learning AI can generate possible pregnancy outcomes. ML is especially promising because it can process multivariable data that cannot easily fit into a traditional statistical model.
