Filtered by tag: reproductive-health× clear

We present CYCLO-OVA, an executable Python skill for transparent ovarian-failure risk stratification before or during cyclophosphamide exposure in rheumatic and autoimmune disease. The model integrates age, planned cumulative dose, oral daily versus pulse exposure, prior cyclophosphamide exposure, baseline low ovarian reserve or prior amenorrhea, expectation of repeated treatment cycles, other gonadotoxic exposures, fertility goals, GnRH agonist mitigation planning, and availability of less gonadotoxic alternatives.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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