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Main Menu - Block
Labs:
Project Teams:
- Overview
- Anatomy and Histology
- Cryo-Electron Microscopy
- Electron Microscopy
- Flow Cytometry
- Gene Targeting and Transgenics
- Immortalized Cell Line Culture
- Integrative Imaging
- Invertebrate Shared Resource
- Janelia Experimental Technology
- Mass Spectrometry
- Media Prep
- Molecular Genomics
- Primary & iPS Cell Culture
- Project Pipeline Support
- Project Technical Resources
- Quantitative Genomics
- Scientific Computing Software
- Scientific Computing Systems
- Viral Tools
- Vivarium
Export 2 results:
Author Title Type [ Year
Filters: Author is Cristofanilli, Massimo [Clear All Filters]
2025
Sun Y, Squires JR, Hoffmann A, Zhang Y, Minor A, Singh A, Scholten D, Mao C, Luo Y, Fang D et al..
2025. Abstract 2420: Deep learning enables automated detection of circulating tumor cell-immune cell interactions with prognostic insights in cancer. Cancer Research. 85:2420-2420.
Liu H, Squires J, Sun Y, Hoffmann ADaniel, Zhang Y, Platanias LC, Gradishar WJohn, Cristofanilli M, Stringer C.
2025. Analysis of deep learning for automated recognition of immune cells interacting with CTCs for prognostic assessment in cancer.. Journal of Clinical Oncology. 43:e13028-e13028.