Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Katherine Caley

2PUBLICATIONS

18CO-AUTHORS

Deep learningPredictive and prognostic markers

Featured researcher

Get your video featured.

Publish with JoVE

Featured researcher

Get your video featured.

Publish with JoVE

Publications (2)

Sort by Publication Date:

|Jul 03, 2024

A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics.

Danh-Tai Hoang, Gal Dinstag, Eldad D Shulman

|Oct 04, 2023

Prediction of cancer treatment response from histopathology images through imputed transcriptomics.

Danh-Tai Hoang, Gal Dinstag, Leandro C Hermida

Pageof 1

Frequent Collaborators

2 joint publications

Doreen S Ben-Zvi

2 joint publications

Sanju Sinha

2 joint publications

Christopher H Dampier

2 joint publications

Arun Rajan

2 joint publications

Clint Allen

2 joint publications

Peng Jiang

2 joint publications

Scott Wilkinson

2 joint publications

Adam G Sowalsky

2 joint publications

Sharon R Pine

2 joint publications

Carlos Caldas

Frequent Collaborators

2 joint publications

Doreen S Ben-Zvi

2 joint publications

Sanju Sinha

2 joint publications

Christopher H Dampier

2 joint publications

Arun Rajan

Top Related Videos

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Published on : Mar 01, 2024

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on : Oct 10, 2018

See more related videos

Top Related Videos

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets

Published on : Mar 01, 2024

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on : Oct 10, 2018

See more related videos