Daniel Catchpoole
Overview
Explore the profile of Daniel Catchpoole including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
71
Citations
2159
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Catchpoole D, Hettiaratchi A, Fonseca Tumilasci V
Biopreserv Biobank
. 2025 Jan;
23(1):65-66.
PMID: 39888877
No abstract available.
2.
Copper chelation redirects neutrophil function to enhance anti-GD2 antibody therapy in neuroblastoma
Rouaen J, Salerno A, Shai-Hee T, Murray J, Castrogiovanni G, McHenry C, et al.
Nat Commun
. 2024 Dec;
15(1):10462.
PMID: 39668192
Anti-disialoganglioside (GD2) antibody therapy has provided clinical benefit to patients with neuroblastoma however efficacy is likely impaired by the immunosuppressive tumor microenvironment. We have previously defined a link between intratumoral...
3.
Smith C, Catchpoole D, Hutvagner G
Sci Rep
. 2024 Apr;
14(1):8570.
PMID: 38609422
Glioblastoma is one of the most common and aggressive brain tumors and has seen few improvements in patient outcomes. Inter-tumor heterogeneity between tumors of different patients as well as intra-tumor...
4.
Ho D, Agaram N, Frankel A, Lathara M, Catchpoole D, Keller C, et al.
Mod Pathol
. 2024 Feb;
37(3):100421.
PMID: 38335856
No abstract available.
5.
Ng J, Arness D, Gronowski A, Qu Z, Lau C, Catchpoole D, et al.
J Imaging
. 2024 Jan;
10(1).
PMID: 38248988
Biomedical datasets are usually large and complex, containing biological information about a disease. Computational analytics and the interactive visualisation of such data are essential decision-making tools for disease diagnosis and...
6.
Qu Z, Nguyen Q, Lau C, Johnston A, Kennedy P, Simoff S, et al.
BMC Med Inform Decis Mak
. 2023 Dec;
23(1):295.
PMID: 38124044
Background: Visualising patient genomic data in a cohort with embedding data analytics models can provide relevant and sensible patient comparisons to assist a clinician with treatment decisions. As immersive technology...
7.
Wilkins-Caruana A, Bandara M, Musial K, Catchpoole D, Kennedy P
J Biomed Inform
. 2023 Nov;
148:104554.
PMID: 38000767
Objective: Treatment pathways are step-by-step plans outlining the recommended medical care for specific diseases; they get revised when different treatments are found to improve patient outcomes. Examining health records is...
8.
Shvetcov A, Thomson S, Spathos J, Cho A, Wilkins H, Andrews S, et al.
Int J Mol Sci
. 2023 Oct;
24(19).
PMID: 37834458
Alzheimer's disease (AD) is a growing global health crisis affecting millions and incurring substantial economic costs. However, clinical diagnosis remains challenging, with misdiagnoses and underdiagnoses being prevalent. There is an...
9.
Caruana A, Bandara M, Musial K, Catchpoole D, Kennedy P
Artif Intell Med
. 2023 Oct;
144:102642.
PMID: 37783537
Machine learning provides many powerful and effective techniques for analysing heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a subset of EHR collected for administrative purposes, and the...
10.
Logan J, Kennedy P, Catchpoole D
Sci Data
. 2023 Sep;
10(1):595.
PMID: 37684306
The increasing rates of breast cancer, particularly in emerging economies, have led to interest in scalable deep learning-based solutions that improve the accuracy and cost-effectiveness of mammographic screening. However, such...