AIMC Topic: Prostatic Neoplasms, Castration-Resistant
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Using Machine Learning to Predict Survival in Patients with Metastatic Castration-Resistant Prostate Cancer.
Studies in health technology and informatics
Apr 8, 2025
Non-specific clinical biomarkers have been shown to help identify prognostic risks in cancer patients. However, the accuracy of prognostic biomarkers for predicting survival in patients with metastatic castration-resistant prostate cancer (mCRPC) sti...
Pilot study of an artificial intelligence-based deep learning algorithm to predict time to castration-resistant prostate cancer for metastatic hormone-naïve prostate cancer.
Japanese journal of clinical oncology
Sep 18, 2022
The object in this study is to develop an artificial intelligence-based deep learning algorithm for prediction of time to castration-resistant prostate cancer by combined androgen blockade therapy in metastatic hormone-naïve prostate cancer. We inclu...
[Down-regulated PTTG1 expression promotes the senescence of human prostate cancer LNCaP-AI].
Zhonghua nan ke xue = National journal of andrology
Mar 1, 2019
OBJECTIVE: To investigate the effect of the down-regulated expression of pituitary tumor-transforming gene 1 (PTTG1) on the senescence of human castration-resistant prostate cancer LNCaP-AI cells.
Hematopoiesis is prognostic for toxicity and survival of Radium treatment in patients with metastatic castration-resistant prostate cancer.
Hellenic journal of nuclear medicine
Jan 1, 2017
OBJECTIVE: We evaluated the impact of pre-therapeutic hematopoiesis on survival, hematotoxicity (HT) and number of Radium (Ra) treatments in patients with metastatic castration-resistant prostate cancer.
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