Our goal is to develop biomarkers of immunotherapy response using AI models from H & E-stained histology images

Ended Project Grant Awarded Last action

Award ID
W81XWH2210367
Recipient
Awarding agency
Obligated
$0

Award facts

Assistance listing
12.420 Military Medical Research and Development
Completion date
Originally
Place of performance
Morrisville, NC, USA

Award details come from USAspending.gov.

Description

We will first train our model to identify immune cell types on histology images, and then utilize the 2-D spatial patterns of these immune cells as features to predict response to immunotherapy. For the first part of our model, we will generate training labels for classifying the immune cells using multiplex immunofluorescence (MIF). For each cell type, we will develop a separate AI model to predict a probability map of the presence of that cell on the original histology image. These probability maps will serve as input feature sets for predicting response to immunotherapy. MIF data are only needed for training models to predict cell types and will not be needed when we test our model. Our two-staged model will then be applied to histological images with H & E stains to predict responders to immunotherapy.

Transactions

Action Obligated Date
Amendment Artificial intelligence analysis of histopathology slides to develop biomarkers of response to immunotherapy in kidney cancer extend the period of performance… $0
Amendment The purpose of this modification is to incorporate the modified abstracts document in the terms and conditions section. $0
Original award $0

Quick answers

Who received award W81XWH2210367?

W81XWH2210367 was awarded to Vindhya Data Science Inc. by Defense Health Agency (Department of Defense) on September 30, 2022.

How much is award W81XWH2210367 worth?

$0 has been obligated on W81XWH2210367.

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