Abstract: A method of administering elagolix to a patient in association with an artificial reproductive technology (ART) protocol involves orally administering 150 to 400 mg elagolix per day. In accordance with certain embodiments, the method further involves the co-administration of exogenous gonadotropins (rFSH or HMG) with a subsequent ovulatory trigger. In an embodiment, the patient is administered 150 to 200 mg Elagolix PO daily or twice per day. In an embodiment, the patient is administered 150 to 200 mg Elagolix PO per day at a dosing duration of a minimum of one day and a maximum of six days. In an embodiment, the ART protocol involves administering 150 to 200 mg Elagolix PO per day based upon a patient's transvaginal ultrasound and hormone levels.

Abstract: Adaptive image processing, image analysis, pattern recognition, and time-to-event prediction in various imaging modalities associated with assisted reproductive technology. The reference image may be processed according to one or more adaptive processing frameworks for de-speckling or noise processing of ultrasound images. The subject image is processed according to various computer vision techniques for object detection, recognition, annotation, segmentation, and classification of reproductive anatomy, such as follicles, ovaries and the uterus. An image processing framework may also analyze secondary data along with subject image data to analyze time-to-event progression of the subject image.

Abstract: Adaptive image processing, image analysis, pattern recognition, and time-to-event prediction in various imaging modalities associated with assisted reproductive technology. The reference image may be processed according to one or more adaptive processing frameworks for de-speckling or noise processing of ultrasound images. The subject image is processed according to various computer vision techniques for object detection, recognition, annotation, segmentation, and classification of reproductive anatomy, such as follicles, ovaries and the uterus. An image processing framework may also analyze secondary data along with subject image data to analyze time-to-event progression of the subject image.

Abstract: Adaptive image processing, image analysis, pattern recognition, and time-to-event prediction in various imaging modalities associated with assisted reproductive technology. The reference image may be processed according to one or more adaptive processing frameworks for de-speckling or noise processing of ultrasound images. The subject image is processed according to various computer vision techniques for object detection, recognition, annotation, segmentation, and classification of reproductive anatomy, such as follicles, ovaries and the uterus. An image processing framework may also analyze secondary data along with subject image data to analyze time-to-event progression of the subject image.