Biologically informed deep neural network for prostate cancer ...

P-NET design. We introduce P-NET, an artificial neural network with biologically informed, parsimonious architecture that accurately predicts ...

The determination of molecular features that mediate clinically aggressive phenotypes in prostate cancer remains a major biological and clinical challenge 1 ...

Biologically informed deep neural network for prostate cancer ...

We developed a biologically informed deep learning model (P-NET) to stratify PrCa patients by treatment resistance state and evaluate molecular drivers of ...

Biologically informed deep neural network for prostate cancer ...

Biologically informed deep neural network for prostate cancer discovery ... Despite advances in prostate cancer treatment, including androgen deprivation therapy, ...

A systematic review of biologically-informed deep learning models ...

As an explainability method, Grad-CAM [66] was used to identify pathways impacting cancer survival predictions by identifying the parts of an ...

Abstract 1637: Biologically informed deep neural network for ...

Conclusion: P-NET, a biologically informed deep neural network, accurately classifies metastatic vs. primary prostate cancers. Visualizing the ...

Biologically Informed Deep Neural Network for Prostate Cancer ...

Recorded on November 11, 2021 by the Stanford Center for Artificial Intelligence in Medicine and Imaging as part of the AIMI Journal Club ...

Biologically informed deep neural network for prostate cancer ...

Here we developed P-NET—a biologically informed deep learning model—to stratify patients with prostate cancer by treatment-resistance state and ...

P-Net - a biologically informed deep neural network for prostate ...

introducing a deep learning model for predicting clinical outcome in prostate cancer. The model uses molecular data (specifically mutation ...

(PDF) Biologically informed deep neural network for prostate cancer ...

Broadly, biologically informed fully interpretable neural networks enable preclinical discovery and clinical prediction in prostate cancer and ...

Biologically informed deep neural networks provide quantitative ...

The differentiation of proliferative/recurrent tumor (Pro) and treatment-induced reactive/inflammatory cells (Inf) is crucial for evaluating ...

[2309.16645] Reusability report: Prostate cancer stratification with ...

Abstract:In Elmarakeby et al., "Biologically informed deep neural network for prostate cancer discovery", a feedforward neural network with ...

AIMI Journal Club: Biologically Informed Deep Neural Network for ...

AIMI Journal Club: Biologically Informed Deep Neural Network for Prostate Cancer Discovery - Haitham Elmarakeby, PhD · Event Details: · This event ...

Biologically informed deep neural network for prostate cancer ...

Dive into the research topics of 'Biologically informed deep neural network for prostate cancer discovery'. Together they form a unique fingerprint. Sort by ...

Biologically informed deep neural network for genomic discovery ...

primary prostate cancers. Visualizing the trained model generates novel hypotheses of mechanisms of metastasis. This represents a novel approach to integrating ...

marakeby/pnet_prostate_paper: P-NET, Biologically informed deep ...

P-NET, Biologically informed deep neural network for prostate cancer classification and discovery - marakeby/pnet_prostate_paper.

Biologically-informed deep neural networks provide quantitative ...

Glioblastoma (GBM) exhibits pronounced intratumoral heterogeneity, which can confound diagnosis and clinical management, and is a leading driver of tumor ...

Biologically informed deep neural network for prostate cancer ...

The model was designed to incorporate biological information and explainability algorithms to enhance predictive performance and identify ...

New Deep Learning Network to aid Prostate Cancer Discovery

Using biologically informed neural networks also allows for a level of interpretability not present in other deep learning models. P-NET can ...

Biologically informed deep neural network for prostate cancer ...

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