AI and Pathology: Steering Treatment and Predicting Outcomes

AI and Pathology: Steering Treatment and Predicting Outcomes

The combination of data analysis methods, increasing computing capacity, and improved sensors enable quantitative granular, multi-scale, cell-based analyses. We describe the rich set of application challenges related to tissue interpretation and survey AI methods currently used to address these chal...

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Hauptverfasser: Gupta, Rajarsi, Kaczmarzyk, Jakub, Kobayashi, Soma, Kurc, Tahsin, Saltz, Joel
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Sprache:eng
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Computer Science - Artificial Intelligence
Quantitative Biology - Quantitative Methods
Quantitative Biology - Tissues and Organs
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creator Gupta, Rajarsi
Kaczmarzyk, Jakub
Kobayashi, Soma
Kurc, Tahsin
Saltz, Joel
description The combination of data analysis methods, increasing computing capacity, and improved sensors enable quantitative granular, multi-scale, cell-based analyses. We describe the rich set of application challenges related to tissue interpretation and survey AI methods currently used to address these challenges. We focus on a particular class of targeted human tissue analysis - histopathology - aimed at quantitative characterization of disease state, patient outcome prediction and treatment steering.
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subjects Computer Science - Artificial Intelligence
Quantitative Biology - Quantitative Methods
Quantitative Biology - Tissues and Organs
title AI and Pathology: Steering Treatment and Predicting Outcomes
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