NIR-Laser Triggered Drug Release from Molybdenum Disulfide Nanosheets Modified with Thermosensitive Polymer for Prostate Cancer Treatment

2021 ◽  
Author(s):  
Elham Reza Soltani ◽  
Kambiz Tahvildari ◽  
Elham Moniri ◽  
Homayon Ahmad Panahi
Keyword(s):  
Prostate Cancer ◽  
Drug Release ◽  
Cancer Treatment ◽  
Molybdenum Disulfide ◽  
Thermosensitive Polymer ◽  
Prostate Cancer Treatment ◽  
Triggered Drug Release ◽  
Molybdenum Disulfide Nanosheets ◽  
Nir Laser

1077: A Novel Apoptosis-Inducing Gene and its Application in Prostate Cancer Treatment

2004 ◽  
Vol 171 (4S) ◽  
pp. 284-284
Author(s):  
Yi Lu ◽  
Jun Zhang ◽  
Ben Beheshti ◽  
Ximing J. Yang ◽  
Syamal K. Bhattacharya ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Treatment ◽  
Prostate Cancer Treatment

Lu-177 PSMA I&T Therapy for Prostate Cancer; Treatment Response, Treatment Toxicity, and Survival Results

2019 ◽  
Author(s):  
Emine Acar ◽  
Burak Sönmezer ◽  
Erkan Derebek ◽  
Recep Bekiş ◽  
Özhan Özdoğan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Treatment ◽  
Treatment Response ◽  
Prostate Cancer Treatment ◽  
Treatment Toxicity

scholarly journals Racial and Ethnic Variation in Health-Related Quality of Life Scores Prior to Prostate Cancer Treatment

2017 ◽  
Vol 5 (4) ◽  
pp. e219-e228 ◽  
Author(s):  
Stephanie R. Reading ◽  
Kimberly R. Porter ◽  
Jeffrey M. Slezak ◽  
Teresa N. Harrison ◽  
Joy S. Gelfond ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Prostate Cancer ◽  
Cancer Treatment ◽  
Ethnic Variation ◽  
Health Related Quality ◽  
Prostate Cancer Treatment ◽  
Related Quality ◽  
Health Related

scholarly journals PCN75 WHAT CHOICES DO MEN FEEL THEY HAVE IN SELECTION OF PROSTATE CANCER TREATMENT?

2007 ◽  
Vol 10 (6) ◽  
pp. A346
Author(s):  
SD Ramsey ◽  
SD Zeliadt ◽  
IJ Hall ◽  
JW Lee ◽  
DU Ekwueme ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Treatment ◽  
Prostate Cancer Treatment ◽  
Selection Of

scholarly journals Development and Validation of an Interpretable Artificial Intelligence Model to Predict 10-Year Prostate Cancer Mortality

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 3064
Author(s):  
Jean-Emmanuel Bibault ◽  
Steven Hancock ◽  
Mark K. Buyyounouski ◽  
Hilary Bagshaw ◽  
John T. Leppert ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Treatment ◽  
Cancer Mortality ◽  
Treatment Strategies ◽  
Gradient Boosting ◽  
Prostate Cancer Treatment ◽  
Prospective Data ◽  
Prostate Cancer Mortality ◽  
Development And Validation

Prostate cancer treatment strategies are guided by risk-stratification. This stratification can be difficult in some patients with known comorbidities. New models are needed to guide strategies and determine which patients are at risk of prostate cancer mortality. This article presents a gradient-boosting model to predict the risk of prostate cancer mortality within 10 years after a cancer diagnosis, and to provide an interpretable prediction. This work uses prospective data from the PLCO Cancer Screening and selected patients who were diagnosed with prostate cancer. During follow-up, 8776 patients were diagnosed with prostate cancer. The dataset was randomly split into a training (n = 7021) and testing (n = 1755) dataset. Accuracy was 0.98 (±0.01), and the area under the receiver operating characteristic was 0.80 (±0.04). This model can be used to support informed decision-making in prostate cancer treatment. AI interpretability provides a novel understanding of the predictions to the users.

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