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Biologically informed deep neural network for prostate cancer ...


ANZUP Mini ASM 2021: Convergence of Machine Learning and ...

Elmarakeby HA, Hwang J, Arafeh R, et al. Biologically informed deep neural network for prostate cancer discovery. Nature. 2021;598:348-352.

Genomics and Artificial Intelligence Prostate Cancer - Urologic Clinics

Commercially available machine learning (ML)-based genomic classifiers are now incorporated into clinical guidelines and recommendations for ...

Prostate cancer grading framework based on deep transfer learning ...

[32] carried out the DL approach of convolutional neural network (CNN) for predicting Lymph Node Metastasis from tumor histology of prostate ...

Optimal Deep Learning Enabled Prostate Cancer Detection Using ...

Moreover, the deep neural network (DNN) model can be applied as a classification model to detect the existence of prostate cancer in the ...

Biologically-informed neural networks guide mechanistic modeling ...

... prostate cancer cells with systematically varying initial cell densities [2]. ... A unified deep artificial neural network approach to partial differential ...

Biologically-Informed Shallow Classification Learning Integrating ...

Biologically informed deep neural network for prostate cancer discovery. Nature, 598:348–352. Esser-Skala, W. and Fortelny, N. (2023). Reliable.

Application of Machine Learning and Deep Learning Models in ...

The application of deep learning for prostate cancer detection has made significant advancements in recent years, and this study will expose readers to the ...

Deep learning in cancer genomics and histopathology

In this review, we summarize current and emerging applications of DL in histopathology and genomics, including basic diagnostic as well as advanced prognostic ...

Anatomically guided self-adapting deep neural network for clinically ...

PI-CAI (Prostate Imaging: Cancer AI) is a new grand challenge encompassing over 10,000 prostate MRI scans [20]. The challenge allows researchers ...

Opportunities and obstacles for deep learning in biology and medicine

For example, deep recurrent neural networks (RNNs) have been used to predict gene targets of microRNAs (miRNAs) [28], and CNNs have been applied ...

Primer by Felix Dietlein - YouTube

... Biologically informed deep neural network for prostate cancer discovery Haitham Elmarakeby (43:58-1:28:20) Van Allen Lab, Dana-Farber Cancer ...

Clinical-Prostate cancer Deep learning model for the detection of ...

Clinical-Prostate cancer. Deep learning model for the detection of prostate cancer and classification of clinically significant disease using multiparametric ...

Deep Learning - Erik Storrs

Paper Walkthrough: P-Net - a biologically informed deep neural network for prostate cancer discovery ... In which I cover a new biologically informed neural ...

An interpretable survival model for diffuse large B-cell lymphoma ...

27. Elmarakeby, H.A. ∙ Hwang, J. ∙ Arafeh, R. ... Biologically informed deep neural network for prostate cancer discovery. Nature. 2021 ...

Long Short-Term Memory-Deep Belief Network-Based Gene ...

INDEX TERMS Prostate cancer, deep learning, artificial intelligence, microarray gene expression, parameter tuning. I. INTRODUCTION. The ...

Prostate Cancer - Results from #5140 - UroToday

... prostate cancer: a prespecified subgroup analysis of the STRIVE trial. October 12, 2021. Biologically informed deep neural network for prostate cancer discovery ...

Harnessing artificial intelligence for prostate cancer management

Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is crucial for clinical decision-making, but traditional ...

Biologically informed neural network for subphenotype classification ...

1.7 Biologically informed neural network . . . . . . . . 16. 2 Introduction ... “Biologically informed deep neural network for prostate cancer discovery”.

AI Model for Prostate Biopsies Predicts Cancer Survival - MDPI

This study showed that a deep learning model not only can find and grade prostate cancer on biopsies comparably with pathologists but also can predict adverse ...

Biologically-informed neural networks guide mechanistic modeling ...

A PC-3 prostate cancer cell line was used. The image recording time is indicated on each subfigure and the scale bar corresponds to 300 μm. The green dashed ...