Difference between revisions of "Chuang Lab"
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| − | {{banner|direction=right|title=Welcome |section= |section-link=Chuang_Lab|image=clab_banner2.jpg|width=20%|quote=Our lab uses computational and mathematical approaches to investigate the mechanisms that govern | + | {{banner|direction=right|title=Welcome |section= |section-link=Chuang_Lab|image=clab_banner2.jpg|width=20%|quote=Our lab uses computational and mathematical approaches to investigate the mechanisms that govern cancer cells and their spatial interactions. The lab specializes in problems in cancer image analysis, genomics, and evolution.}} |
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| − | {{banner|direction=right|title=Research Topics|section=|image=PDXpicture.png |width=15%|quote=The lab uses computational and mathematical approaches to understand | + | {{banner|direction=right|title=Research Topics|section=|image=PDXpicture.png |width=15%|quote=The lab uses computational and mathematical approaches to understand cancer cells nd their spatial interactions. We develop and apply techniques from a variety of disciplines, including deep neural networks, genomic and evolutionary analysis, and biophysical modeling. We are currently focused in: 1 1) Multiplex and histopathological cancer image analysis using deep learning, and 2)Cancer evolution in response to therapy.}} |
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Revision as of 10:40, 12 April 2024
Our lab uses computational and mathematical approaches to investigate the mechanisms that govern cancer cells and their spatial interactions. The lab specializes in problems in cancer image analysis, genomics, and evolution.
The lab uses computational and mathematical approaches to understand cancer cells nd their spatial interactions. We develop and apply techniques from a variety of disciplines, including deep neural networks, genomic and evolutionary analysis, and biophysical modeling. We are currently focused in: 1 1) Multiplex and histopathological cancer image analysis using deep learning, and 2)Cancer evolution in response to therapy.
Chuang Lab Awarded U24 for Data Coordination Center for NCI PDXNet
Together with Seven Bridges Genomics, we have been awarded a National Cancer Institute grant to coordinate data sharing and analysis for the PDXNet. We are working with esteemed collaborators at institutes including MD Anderson, the Huntsman Institute at the University of Utah, Baylor College of Medicine, the Wistar Institute, and Washington University. For this project we will be analyzing hundreds of new and existing PDX samples toward the goal of developing a clinical trial based on patient-derived xenografts.
