Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer
2022 · Nature Cancer · 337 citations
https://doi.org/10.1038/s43018-022-00416-8
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Andrew Aukerman
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Andrew Aukerman is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & AI in cancer detection & Cancer Genomics and Diagnostics. The author has an h-index of 6, co-authored 19 publications.
ORCID: 0000-0003-1944-769XPapers by this author
worksKaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
2021 · Communications Biology · 15 citations
https://doi.org/10.1038/s42003-021-01651-y
Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations
2022 · Radiology · 12 citations
https://doi.org/10.1148/radiol.210817
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