Abstract: Provided herein are methods and compositions relating to modified proteins of Anti-Müllerian hormone (AMH) for regulating folliculogenesis in a woman, and in particular regulating follicle activation and maturation and immature (primordial) follicle depletion. In certain embodiments, regulating or inhibiting folliculogenesis in a woman treats ovarian senescence, pauses or slows down ovarian aging and/or delays the onset of menopause and/or the symptoms related to menopause, premature ovarian decline induced by gonadotoxic treatment, or diseases or conditions caused by genetic mutations in genes regulating folliculogenesis and ovarian biology.

Abstract: Embodiments of the present disclosure relate to a machine-learning system for processing medical information. The system comprises a communications interface configured to access electronic medical data. An automated retrieval processor is configured to analyze the electronic medical data to identify and retrieve relevant electronic data based on predefined search criteria. A learning processor is configured to update and optimize the automated retrieval processor based on received electronic metadata associated with the identified relevant electronic data. Other embodiments relate to a machine-learning method for processing electronic medical information. The method comprises accessing electronic medical data from a public database and/or a private database. In addition, the method comprises analyzing the electronic medical data to identify and retrieve relevant electronic data based on predefined search criteria.