California-based start-up Univfy is looking to personalise in vitro fertilisation (IVF) by using a patient’s own stem cells and blood cells. Univfy's predictive analytics platform factors in variables such as age, body mass, semen analysis and clinical diagnosis to help improve both IVF success rates and cost transparency. Many more patients can have a baby if they could afford to do more than one IVF treatment. Univfy operates by taking existing clinical data on a patient before integrating the success prediction model into a clinic's IVF fee schedule to produce more affordable pricing plans.
California-based start-up Univfy is looking to personalise in vitro fertilisation (IVF) by using a patient’s own stem cells and blood cells. Univfy's predictive analytics platform factors in variables such as age, body mass, semen analysis and clinical diagnosis to help improve both IVF success rates and cost transparency. Univfy operates by taking existing clinical data on a patient before integrating the success prediction model into a clinic's IVF fee schedule to produce more affordable pricing plans.