Automated real-world data integration improves cancer outcome prediction
2024 · Nature · 123 citations
https://doi.org/10.1038/s41586-024-08167-5
K
Karl Pichotta
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Karl Pichotta is an academic researcher from Memorial Sloan Kettering Cancer Center. The author has contributed to research in topics: Topic Modeling & Natural Language Processing Techniques & Cancer Genomics and Diagnostics. The author has an h-index of 8, co-authored 18 publications.
ORCID: 0000-0001-7062-2970Papers by this author
worksSemisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations
2022 · Radiology · 12 citations
https://doi.org/10.1148/radiol.210817
Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations
2022 · Radiology · 12 citations
https://doi.org/10.1148/radiol.210817
Machine learning predictions improve identification of real-world cancer driver mutations
2024 · bioRxiv (Cold Spring Harbor Laboratory) · 0 citations
https://doi.org/10.1101/2024.03.31.587410
A Pan-Cancer Ex Vivo Drug Screen Atlas for Functional Precision Oncology
2026 · bioRxiv (Cold Spring Harbor Laboratory) · 0 citations
https://doi.org/10.64898/2026.02.14.705918
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