
Scott Lowe
Articles
BenthicNet: A global compilation of seafloor images for deep learning applications - Scientific Data
Feb 6, 2025 |
nature.com | Scott Lowe |Benjamin Misiuk |Ove Hoegh-Guldberg |Kathryn Markey |Pedro Menandro |Jacquomo Monk | +1 more
AbstractAdvances in underwater imaging enable collection of extensive seafloor image datasets necessary for monitoring important benthic ecosystems. The ability to collect seafloor imagery has outpaced our capacity to analyze it, hindering mobilization of this crucial environmental information. Machine learning approaches provide opportunities to increase the efficiency with which seafloor imagery is analyzed, yet large and consistent datasets to support development of such approaches are scarce.
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Nov 12, 2024 |
nature.com | Alvaro Curiel-Garcia |Margo I Orlen |Clint A. Stalnecker |Julien Dilly |Marie C. Hasselluhn |Stephanie Chang | +16 more
Correction to: Nature https://doi.org/10.1038/s41586-024-07379-z Published online 8 April 2024In the version of the article initially published, in the Data availability section, the GEO accession number was incorrect and has now been amended to GSE252002 in the HTML and PDF version of the article.
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Apr 8, 2024 |
nature.com | Alvaro Curiel-Garcia |Margo I Orlen |Clint A. Stalnecker |Julien Dilly |Marie C. Hasselluhn |Stephanie Chang | +16 more
AbstractBroad-spectrum RAS inhibition holds the potential to benefit roughly a quarter of human cancer patients whose tumors are driven by RAS mutations1,2. RMC-7977 is a highly selective inhibitor of the active GTP-bound forms of KRAS, HRAS, and NRAS, with affinity for both mutant and wild type (WT) variants (RAS(ON) multi-selective)3.
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Aug 10, 2023 |
nature.com | Miguel Foronda |Eric Gardner |Bianca Diaz |Kevin Holden |Scott Lowe
AbstractAlthough single-nucleotide variants (SNVs) make up the majority of cancer-associated genetic changes and have been comprehensively catalogued, little is known about their impact on tumor initiation and progression. To enable the functional interrogation of cancer-associated SNVs, we developed a mouse system for temporal and regulatable in vivo base editing.
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