Zobrazeno 1 - 10
of 11
pro vyhledávání: '"James M. Dole"'
Autor:
Divya Choudhury, James M. Dolezal, Emma Dyer, Sara Kochanny, Siddhi Ramesh, Frederick M. Howard, Jayson R. Margalus, Amelia Schroeder, Jefree Schulte, Marina C. Garassino, Jakob N. Kather, Alexander T. Pearson
Publikováno v:
EBioMedicine, Vol 107, Iss , Pp 105276- (2024)
Summary: Background: Deployment and access to state-of-the-art precision medicine technologies remains a fundamental challenge in providing equitable global cancer care in low-resource settings. The expansion of digital pathology in recent years and
Externí odkaz:
https://doaj.org/article/8abddce9a56d4c5aa460bd06647693f0
Autor:
James M. Dolezal, Sara Kochanny, Emma Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-29 (2024)
Abstract Deep learning methods have emerged as powerful tools for analyzing histopathological images, but current methods are often specialized for specific domains and software environments, and few open-source options exist for deploying models in
Externí odkaz:
https://doaj.org/article/6bb82f18fca04a3bb0dda2cd9c996a9f
Autor:
James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Jung Woo Kwon, Meghana Agni, Richard C. Simon, Chandni Desai, Raghad Kherallah, Tung D. Nguyen, Jefree J. Schulte, Kimberly Cole, Galina Khramtsova, Marina Chiara Garassino, Aliya N. Husain, Huihua Li, Robert Grossman, Nicole A. Cipriani, Alexander T. Pearson
Publikováno v:
npj Precision Oncology, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Artificial intelligence methods including deep neural networks (DNN) can provide rapid molecular classification of tumors from routine histology with accuracy that matches or exceeds human pathologists. Discerning how neural networks make th
Externí odkaz:
https://doaj.org/article/90c8d0f480c347d78a0bdd3a1cd68a11
Autor:
Robert B. Cameron, Jacobi B. Hines, Valter Torri, Luca Porcu, Jessica Donington, Christine M. Bestvina, Everett Vokes, James M. Dolezal, Alessandra Esposito, Marina C. Garassino
Publikováno v:
Therapeutic Advances in Medical Oncology, Vol 15 (2023)
Numerous clinical trials investigating neoadjuvant immune checkpoint inhibitors (ICI) have been performed over the last 5 years. As the number of neoadjuvant trials increases, attention must be paid to identifying informative trial endpoints. Complet
Externí odkaz:
https://doaj.org/article/68f1ae4490e14171883a3791e16df353
Autor:
James M. Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Brittany Cody, Aaron S. Mansfield, Sagar Rakshit, Radhika Bansal, Melanie C. Bois, Aaron O. Bungum, Jefree J. Schulte, Everett E. Vokes, Marina Chiara Garassino, Aliya N. Husain, Alexander T. Pearson
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Safe clinical deployment of deep learning models for digital pathology requires reliable estimates of predictive uncertainty. Here the authors describe an algorithm for quantifying whole-slide image uncertainty, demonstrating their approach with mode
Externí odkaz:
https://doaj.org/article/3782f0100a0e42dd916744ca0dcd64bc
Autor:
J. J. Sanchez, W. T. Shmayda, Arthur Nobile, Drew Geller, Peter S. Ebey, John Morris, Jon R. Schoonover, S. A. Letts, John D. Sheliak, Mark Bonino, Abbas Nikroo, James M. Dole, James K. Hoffer, Craig Sangster, Bob Cook, Doug Wilson, D. R. Harding, John Burmann
Publikováno v:
Fusion Science and Technology. 54:375-378
The Tritium Science and Engineering (AET-3) Group at Los Alamos National Laboratory (LANL) performs a variety of activities to support Inertial Fusion (IF) research - both to further fundamental fusion science and to develop technologies in support o
Autor:
Alexander Partin, Thomas Brettin, Yitan Zhu, James M. Dolezal, Sara Kochanny, Alexander T. Pearson, Maulik Shukla, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
Patient-derived xenografts (PDXs) are an appealing platform for preclinical drug studies. A primary challenge in modeling drug response prediction (DRP) with PDXs and neural networks (NNs) is the limited number of drug response samples. We investigat
Externí odkaz:
https://doaj.org/article/e0d0f63467c2490f8c2c2db626e08d8c
Autor:
Abbas Nikroo, S. A. Letts, Jon R. Schoonover, John Burmann, J. J. Sanchez, Arthur Nobile, Peter S. Ebey, James M. Dole, Bob Cook
Publikováno v:
Fusion Science and Technology. 49:859-864
The purpose of the experiments described in this paper was to expose samples of polymeric materials to a mixture of deuterium-tritium (DT) gas at elevated temperature and pressure to investigate the effects (i.e. damage) on the materials. The materia
Publikováno v:
Fusion Science and Technology. 48:1292-1298
Beta-layering, the process of beta-decay heat-driven mass redistribution, has been demonstrated in a deuterium-tritium (D-T)-filled polymer sphere of the type required for fusion ignition experiments at the National Ignition Facility. This is the fir
Autor:
Arthur Nobile, Robert L. Nolen, Peter S. Ebey, James M. Dole, Joseph E. Nasise, John D. Sheliak, James K. Hoffer
Publikováno v:
Fusion Science and Technology. 43:259-269
Targets for inertial fusion research and ignition at OMEGA, the National Ignition Facility, LMJ, and future facilities rely on beta-radiation-driven layering of spherical cryogenic DT ice layers contained within plastic or metal shells. Plastic shell