Article ; Online: The 3D Revolution in Cancer Discovery.
2024 Volume 14, Issue 4, Page(s) 625–629
Abstract: Summary: The transition from 2D to 3D spatial profiling marks a revolutionary era in cancer research, offering unprecedented potential to enhance cancer diagnosis and treatment. This commentary outlines the experimental and computational advancements ... ...
Abstract | Summary: The transition from 2D to 3D spatial profiling marks a revolutionary era in cancer research, offering unprecedented potential to enhance cancer diagnosis and treatment. This commentary outlines the experimental and computational advancements and challenges in 3D spatial molecular profiling, underscoring the innovation needed in imaging tools, software, artificial intelligence, and machine learning to overcome implementation hurdles and harness the full potential of 3D analysis in the field. |
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MeSH term(s) | Humans ; Artificial Intelligence ; Machine Learning ; Software ; Neoplasms/diagnosis ; Neoplasms/genetics |
Language | English |
Publishing date | 2024-04-05 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 2625242-9 |
ISSN | 2159-8290 ; 2159-8274 |
ISSN (online) | 2159-8290 |
ISSN | 2159-8274 |
DOI | 10.1158/2159-8290.CD-23-1499 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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