Conference Agenda
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Session Overview |
Session | ||
Plenary 2: Prof. Denis Wirtz, John Hopkins University, USA
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Session Abstract | ||
Our group has recently developed CODA, an AI-based platform to map whole diseased and healthy organs and organisms in 3D and at single-cell resolution. CODA solves the challenge of imaging large volume samples, while preserving high spatial resolution. Through integration with other multi-omic approaches – such as spatial transcriptomics and proteomics - CODA allows for unprecedented cellular and molecular profiling of tissues. I will discuss the new biological insights into tumor onset and progression gained from the use of CODA, including ovarian and pancreatic cancers, and associated biomedical implications for early detection of cancer. I will also introduce our new deep learning-based optical flow tool InterpolAI, developed to virtually restore damaged tissues and replace missing input images for enhanced 3D imaging, such as MRI, 3D histology, ssTEM, and light-sheet microscopy. Finally, I will describe our efforts to make CODA accessible to the wider community. | ||
No contributions were assigned to this session. |
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