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Craig H Mermel

Showing results (21-30 of 46) with videos related to

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Nature Genetics|September 28, 2013
Pan-cancer patterns of somatic copy number alterationTravis I Zack, Stephen E Schumacher, Scott L Carter, et al.
Communications Medicine|April 24, 2023
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learningJustin D Krogue, Shekoofeh Azizi, Fraser Tan, et al.
Communications Medicine|May 23, 2022
Determining breast cancer biomarker status and associated morphological features using deep learningPaul Gamble, Ronnachai Jaroensri, Hongwu Wang, et al.
NPJ Digital Medicine|November 23, 2019
Erratum: Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancerKunal Nagpal, Davis Foote, Yun Liu, et al.
NPJ Digital Medicine|July 16, 2019
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancerKunal Nagpal, Davis Foote, Yun Liu, et al.
Nature Biomedical Engineering|October 2, 2025
Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulationMark Hettick, Elton Ho, Adam J Poole, et al.
NPJ Digital Medicine|April 20, 2021
Interpretable survival prediction for colorectal cancer using deep learningEllery Wulczyn, David F Steiner, Melissa Moran, et al.
JAMA Network Open|November 12, 2020
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesDavid F Steiner, Kunal Nagpal, Rory Sayres, et al.
Communications Medicine|May 23, 2022
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason gradingEllery Wulczyn, Kunal Nagpal, Matthew Symonds, et al.
Cancer Discovery|June 15, 2013
Systematic interrogation of 3q26 identifies TLOC1 and SKIL as cancer driversDaniel Hagerstrand, Alexander Tong, Steven E Schumacher, et al.
Pageof 5

Showing results (21-30 of 46) with videos related to

Sort By:
Pageof 5
Nature Genetics|September 28, 2013
Pan-cancer patterns of somatic copy number alterationTravis I Zack, Stephen E Schumacher, Scott L Carter, et al.
Communications Medicine|April 24, 2023
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learningJustin D Krogue, Shekoofeh Azizi, Fraser Tan, et al.
Communications Medicine|May 23, 2022
Determining breast cancer biomarker status and associated morphological features using deep learningPaul Gamble, Ronnachai Jaroensri, Hongwu Wang, et al.
NPJ Digital Medicine|November 23, 2019
Erratum: Publisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancerKunal Nagpal, Davis Foote, Yun Liu, et al.
NPJ Digital Medicine|July 16, 2019
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancerKunal Nagpal, Davis Foote, Yun Liu, et al.
Nature Biomedical Engineering|October 2, 2025
Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulationMark Hettick, Elton Ho, Adam J Poole, et al.
NPJ Digital Medicine|April 20, 2021
Interpretable survival prediction for colorectal cancer using deep learningEllery Wulczyn, David F Steiner, Melissa Moran, et al.
JAMA Network Open|November 12, 2020
Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate BiopsiesDavid F Steiner, Kunal Nagpal, Rory Sayres, et al.
Communications Medicine|May 23, 2022
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason gradingEllery Wulczyn, Kunal Nagpal, Matthew Symonds, et al.
Cancer Discovery|June 15, 2013
Systematic interrogation of 3q26 identifies TLOC1 and SKIL as cancer driversDaniel Hagerstrand, Alexander Tong, Steven E Schumacher, et al.
Pageof 5