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.

Abstract: Infrared light sources, along with their methods of formation, are provided. The infrared light source can include a base substrate defining an aperture; a filament extending through the aperture defined by the base substrate; a resistive metal wire wrapped around the filament to define a coil having a first end and a second end; a high temperature coating surrounding at least a portion of the filament and the coil; a first electrode electrically connected to the first end of the coil; and a second electrode electrically connected to the second end of the coil.