Zobrazeno 1 - 10
of 792
pro vyhledávání: '"A. W. Mahoney"'
Publikováno v:
Communications Physics, Vol 6, Iss 1, Pp 1-14 (2023)
Abstract Dynamical systems that evolve continuously over time are ubiquitous throughout science and engineering. Machine learning (ML) provides data-driven approaches to model and predict the dynamics of such systems. A core issue with this approach
Externí odkaz:
https://doaj.org/article/776f47981bd7428aab296c6fe960eb7f
Autor:
Paras Shah, William R. Taylor, Brianna J. Negaard, Benjamin R. Gochanour, Douglas W. Mahoney, Sara S. Then, Mary E. Devens, Patrick H. Foote, Karen A. Doering, Kelli N. Burger, Brandon Nikolai, Michael W. Kaiser, Hatim T. Allawi, John C. Cheville, John B. Kisiel, Matthew T. Gettman
Publikováno v:
Life, Vol 14, Iss 8, p 1024 (2024)
Introduction: Non-invasive assays are needed to better discriminate patients with prostate cancer (PCa) to avoid over-treatment of indolent disease. We analyzed 14 methylated DNA markers (MDMs) from urine samples of patients with biopsy-proven PCa re
Externí odkaz:
https://doaj.org/article/6ad792f6a8a5470c9e125e29b0e26bc6
Autor:
Emmalee J Northrop-Albrecht, Chung Wah Wu, Calise K Berger, William R Taylor, Patrick H Foote, Karen A Doering, Anna M Gonser, Aditya Bhagwate, Zhifu Sun, Douglas W Mahoney, Kelli N Burger, Lisa A Boardman, John B Kisiel
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0308711 (2024)
Regular screening for colorectal cancer (CRC) is critical for early detection and long-term survival. Despite the current screening options available and advancements in therapies there will be around 53,000 CRC related deaths this year. There is gre
Externí odkaz:
https://doaj.org/article/6d7a94ddfe824517a2e217f4cc9f03f0
Autor:
Derek W. Ebner, Kelli N. Burger, Brendan Broderick, Douglas W. Mahoney, Todd A. Kellogg, Andres Acosta, John B. Kisiel
Publikováno v:
Gastro Hep Advances, Vol 2, Iss 7, Pp 902-910 (2023)
Background and Aims: Bariatric and metabolic surgery (BMS) may adversely affect noninvasive stool tests for colorectal cancer (CRC) screening through several mechanisms. Multitarget stool DNA (mt-sDNA) is approved for CRC screening; however, performa
Externí odkaz:
https://doaj.org/article/5017845365d64e6dbf5d01d23d1d701d
Autor:
Shounak Majumder, Thorvardur R. Halfdanarson, Calise K. Berger, Patrick H. Foote, Xiaoming Cao, Maria C. McGlinch, Brianna J. Gysbers, Jaime de La Fuente, Mariah J. Robran, Karen A. Doering, Kelli N. Burger, William E. Bamlet, Ann L. Oberg, Douglas W. Mahoney, Rondell P. Graham, William R. Taylor, Gloria M. Petersen, John B. Kisiel
Publikováno v:
Gastro Hep Advances, Vol 1, Iss 3, Pp 409-416 (2022)
Background and Aims: Methylated DNA markers (MDMs) accurately identify several different cancer types, but there are limited data for pancreatic neuroendocrine tumors (pNETs). We aimed to identify MDM candidates in tissue that differentiate pNETs fro
Externí odkaz:
https://doaj.org/article/90339e48a18143f3be865fc2ccd81cc1
Autor:
Derek W. Ebner, Jason D. Eckmann, Kelli N. Burger, Douglas W. Mahoney, Thomas J. Whitaker, Ivy A. Petersen, John B. Kisiel
Publikováno v:
Gastro Hep Advances, Vol 1, Iss 5, Pp 746-754 (2022)
Background and Aims: Multitarget stool DNA (mt-sDNA) is approved for average-risk colorectal cancer screening; test performance in persons with prior radiation therapy (RT) has not been studied. RT can induce gastrointestinal bleeding and alter DNA m
Externí odkaz:
https://doaj.org/article/bcf2291e38ed4f89830a58e69d17e50d
Autor:
Ju Dong Yang, Hassan Ghoz, Mohammed M. Aboelsoud, William R. Taylor, Tracy C. Yab, Calise K. Berger, Xiaoming Cao, Patrick H. Foote, Nasra H. Giama, Emily G. Barr Fritcher, Douglas W. Mahoney, Catherine D. Moser, Thomas C. Smyrk, Benjamin R. Kipp, Gregory J. Gores, Lewis R. Roberts, John B. Kisiel
Publikováno v:
Hepatology Communications, Vol 5, Iss 8, Pp 1448-1459 (2021)
Cholangiocarcinoma (CCA) has poor prognosis due to late‐stage, symptomatic presentation. Altered DNA methylation markers may improve diagnosis of CCA. Reduced‐representation bisulfite sequencing was performed on DNA extracted from frozen CCA tiss
Externí odkaz:
https://doaj.org/article/ae2e15e653104e529d528b6da9c82e89
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
In many machine learning applications, one uses pre-trained neural networks, having limited access to training and test data. Martin et al. show how to predict trends in the quality of such neural networks without access to this information, relevant
Externí odkaz:
https://doaj.org/article/bdc9afbd811d47888c4645cf78e0b595
Publikováno v:
EURO Journal on Computational Optimization, Vol 10, Iss , Pp 100035- (2022)
We consider a variant of inexact Newton Method [20,40], called Newton-MR, in which the least-squares sub-problems are solved approximately using Minimum Residual method [79]. By construction, Newton-MR can be readily applied for unconstrained optimiz
Externí odkaz:
https://doaj.org/article/e1dc657164394223a91e4ff3c91e58f7
Autor:
Jamie N. Bakkum-Gamez, Mark E. Sherman, Seth W. Slettedahl, Douglas W. Mahoney, Maureen A. Lemens, Shannon K. Laughlin-Tommaso, Matthew R. Hopkins, Ann VanOosten, Viji Shridhar, Julie K. Staub, Xiaoming Cao, Patrick H. Foote, Megan A. Clarke, Kelli N. Burger, Calise K. Berger, Maria C. O'Connell, Karen A. Doering, Karl C. Podratz, Christopher C. DeStephano, J. Kenneth Schoolmeester, Sarah E. Kerr, Nicolas Wentzensen, William R. Taylor, John B. Kisiel
Publikováno v:
Gynecologic Oncology. 174:11-20