Cycle Clarity uses cognitive computing to improve fertility analysis by using machine learning (ML) and artificial intelligence (AI) to understand multifactorial causes of infertility. It uses patient information such as an embryology lab's reproductive data and combines this data with published medical literature to develop a customized approach to a patient's ovarian stimulation and endometrial preparation. Cycle Clarity received a USD 50,000 grant from the South Carolina Research Authority in May 2020.
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