Our mission is to increase the probability of success of fertility treatments, by adjusting the entire treatment plan to the specific woman, based on big data and machine learning algorithms.
As a consequence, substantially decrease the number of required treatments until reaching success – aiming for a healthy-born child.
Vast number of women overgo fertility treatments, including both IUI and IVF – there are over three million IVF cycles per year worldwide. Treatments – consisted of several aspects with various alternatives – require some trial-and-error to be adjusted – true for other medical fields as well. However, such a big data can be utilized wisely.
Supported by a grant from the Israel Innovation Authority