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- Title
Decoding Diseases in 3D: AI-powered Cell Level Imaging and Omics.
- Authors
Ertürk, Ali
- Abstract
Our research integrates cell-level imaging by tissue clearing and omics methods via deep learning to accelerate drug development. We focus on visualizing complex biological systems at the single-cell level, including whole mouse bodies and centimeter-size human tissues. We combine this 3D-imaging data with proteomics to characterize pathologies and therapeutic effects including toxicity and efficacy. Unbiased 3D cell-level imaging on complex biological systems leads to quicker discoveries for diseases such as neurodegeneration, cancer, and diabetes. Exemplary applications of cell level assessment in whole mouse body, organoids, and large monkey and human tissues.
- Subjects
IMAGING systems in biology; CELL imaging; ARTIFICIAL intelligence; BIOLOGICAL systems; THREE-dimensional imaging; ADRENAL insufficiency
- Publication
Gazi Medical Journal, 2024, Vol 35, p3
- ISSN
1300-056X
- Publication type
Article