Abstract: In general, the present disclosure is directed to systems and methods of evaluating a subject's risk of one or more complications associated with pelvic organ prolapse surgery. The method comprising: obtaining, by a computing system comprising one or more computing devices, sample data associated with the subject; inputting, by the computing system, the sample data into a machine-learned immune response model; receiving, by the computing system as an output of the machine-learned immune response model, one or more predictions of post-surgical complications of mesh exposure through the vaginal wall associated with the subject; and performing a pelvic organ prolapse repair surgery on the subject, wherein the surgery is performed based at least in part on the one or more predictions of post-surgical complications by the machine-learned immune response model associated with a likelihood of success.