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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Languages: English
Types: Unknown
Subjects: QA75, R1

Classified by OpenAIRE into

mesheuropmc: urologic and male genital diseases
To present an innovative approach based on the methods of Artificial Intelligence to better predict N status in low risk prostate cancer pts, integrating some important clinical and herapeutic parameters (Gleason Score/sum, age, initial PSA, neoadjuvant or neoadjuvant/concomitant hormonal therapy vs no hormonal therapy), known before radiotherapy (RT).
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