Lynne Penberthy
Overview
Explore the profile of Lynne Penberthy including associated specialties, affiliations and a list of published articles.
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62
Citations
2946
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Recent Articles
1.
Crawford J, Penberthy L, Pinto L, Althoff K, Assimon M, Cohen O, et al.
Open Forum Infect Dis
. 2025 Jan;
12(1):ofaf021.
PMID: 39850579
Background: We developed a United States-based real-world data resource to better understand the continued impact of the coronavirus disease 2019 (COVID-19) pandemic on immunocompromised patients, who are typically underrepresented in...
2.
Forjaz G, Kohler B, Coleman M, Steliarova-Foucher E, Negoita S, Guidry Auvil J, et al.
J Natl Cancer Inst
. 2025 Jan;
PMID: 39799506
Childhood cancers are a heterogeneous group of rare diseases, accounting for less than 2% of all cancers diagnosed worldwide. Most countries, therefore, do not have enough cases to provide robust...
3.
Yoon H, Klasky H, Blanchard A, Christian J, Durbin E, Wu X, et al.
BMC Med Inform Decis Mak
. 2024 Sep;
24(Suppl 5):262.
PMID: 39289714
Background: Applying graph convolutional networks (GCN) to the classification of free-form natural language texts leveraged by graph-of-words features (TextGCN) was studied and confirmed to be an effective means of describing...
4.
Petkov V, Byun J, Ward K, Schussler N, Archer N, Bentler S, et al.
J Natl Cancer Inst Monogr
. 2024 Aug;
2024(65):168-179.
PMID: 39102888
Background: Precision medicine has become a mainstay of cancer care in recent years. The National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) Program has been an authoritative source...
5.
Penberthy L, Friedman S
J Natl Cancer Inst Monogr
. 2024 Aug;
2024(65):110-117.
PMID: 39102886
Although the Surveillance, Epidemiology, and End Results (SEER) Program has maintained high standards of quality and completeness, the traditional data captured through population-based cancer surveillance are no longer sufficient to...
6.
Hsu E, Hanson H, Coyle L, Stevens J, Tourassi G, Penberthy L
J Natl Cancer Inst Monogr
. 2024 Aug;
2024(65):145-151.
PMID: 39102883
The National Cancer Institute and the Department of Energy strategic partnership applies advanced computing and predictive machine learning and deep learning models to automate the capture of information from unstructured...
7.
Tatalovich Z, Chtourou A, Zhu L, Dellavalle C, Hanson H, Henry K, et al.
J Natl Cancer Inst Monogr
. 2024 Aug;
2024(65):132-144.
PMID: 39102880
One of the challenges associated with understanding environmental impacts on cancer risk and outcomes is estimating potential exposures of individuals diagnosed with cancer to adverse environmental conditions over the life...
8.
Deapen D, Clerkin C, Howe W, Green D, Johnson C, Kohler B, et al.
J Natl Cancer Inst Monogr
. 2024 Aug;
2024(65):191-197.
PMID: 39102879
Background: The National Cancer Institute funds many large cohort studies that rely on self-reported cancer data requiring medical record validation. This is labor intensive, costly, and prone to underreporting or...
9.
Sanchez P, Van Dyke A, Petkov V, Yuan Y, Bonds S, Valenzuela C, et al.
J Natl Cancer Inst Monogr
. 2024 Aug;
2024(65):180-190.
PMID: 39102878
Background: The Surveillance, Epidemiology, and End Results (SEER) Program with the National Cancer Institute tested whether population-based cancer registries can serve as honest brokers to acquire tissue and data in...
10.
Warren J, Mariotto A, Stevens J, Davidoff A, Shankaran V, Ward K, et al.
J Clin Oncol
. 2024 Feb;
42(9):1001-1010.
PMID: 38320222
Purpose: This study assessed the prevalence of specific major adverse financial events (AFEs)-bankruptcies, liens, and evictions-before a cancer diagnosis and their association with later-stage cancer at diagnosis. Methods: Patients age...