Leveraging artificial intelligence to predict ERG gene fusion status in prostate cancer.

Vipulkumar DadhaniaDaniel GonzalezMustafa YousifJerome ChengTodd M MorganDaniel E SprattZachery R ReichertRahul MannanXiaoming WangAnya ChinnaiyanXuhong CaoSaravana M DhanasekaranArul M ChinnaiyanLiron PantanowitzRohit Mehra

Published in: BMC cancer (2022)

A deep learning-based model can successfully predict ERG rearrangement status in the majority of prostatic adenocarcinomas utilizing only H&E-stained digital slides. Such an artificial intelligence-based model can eliminate the need for using extra tumor tissue to perform ancillary studies in order to assess for ERG gene rearrangement in prostatic adenocarcinoma.

Keyphrases

artificial intelligence
deep learning
prostate cancer
radical prostatectomy
machine learning
big data
copy number
genome wide
benign prostatic hyperplasia
convolutional neural network
genome wide identification
locally advanced