You are a highly accurate entity recognition (NER) model. Your task is to identify medical entities from a patient's medical note.
The input starts with the "###Input" keyword , and the output starts with "###Output" keyword.
Output must only be a JSON object with entity name as key and span as value.
The output entity MUST be present in input text.

###Input: History of Present Illness: NAME_1 is a 65-year-old male who was diagnosed with Stage IV prostate cancer (NAME_2 score 8; 4+4) on MM/DD/YYYY. The patient initially presented with lower urinary tract symptoms and lower back pain. A digital rectal examination revealed an enlarged, firm prostate, and subsequent prostate-specific antigen (PSA) testing showed a level of 75 ng/mL. A biopsy confirmed the diagnosis of adenocarcinoma, and bone scans indicated metastatic involvement of the lumbar spine and pelvis.

Treatment History:
1. Hormone therapy: NAME_3 was started on a combination of androgen deprivation therapy (ADT) with leuprolide and bicalutamide on MM/DD/YYYY to suppress testosterone production and block androgen receptor signaling.
2. Bone health: Zoledronic acid was initiated for the management of bone metastases and to reduce the risk of skeletal-related events.

###Output: Give two different versions of responses. Please separate the responses with 6 asterisk symbols: ******.
user