David A. Moore

ORCID: 0000-0001-9116-346X
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About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Lung Cancer Treatments and Mutations
  • Gaussian Processes and Bayesian Inference
  • Lung Cancer Research Studies
  • Seismology and Earthquake Studies
  • Machine Learning and Data Classification
  • Lung Cancer Diagnosis and Treatment
  • Target Tracking and Data Fusion in Sensor Networks
  • Domain Adaptation and Few-Shot Learning
  • Seismic Imaging and Inversion Techniques
  • Neuroendocrine Tumor Research Advances
  • Topic Modeling
  • Rangeland and Wildlife Management
  • Machine Learning and Algorithms
  • Influenza Virus Research Studies
  • Cancer Immunotherapy and Biomarkers
  • Bayesian Methods and Mixture Models
  • Cancer Research and Treatments
  • Bayesian Modeling and Causal Inference
  • Neural Networks and Applications
  • Neuroblastoma Research and Treatments
  • Cancer Cells and Metastasis
  • Advanced Aircraft Design and Technologies
  • Advanced Graph Neural Networks
  • Advanced Multi-Objective Optimization Algorithms

University College London
2019-2025

University College London Hospitals NHS Foundation Trust
2019-2025

CRUK Lung Cancer Centre of Excellence
2019-2025

London Cancer
2019-2025

The Francis Crick Institute
2025

Cancer Research UK
2020-2025

Henry Ford Hospital
2018-2024

University of California, San Diego
2024

United States Bureau of Reclamation
2024

Grand Rapids Community College
2024

James R. Black Gábor Bartha Charles W. Abbott Sean Michael Boyle Takahiro Karasaki and 95 more Bailiang Li Rui Chen Jason Harris Selvaraju Veeriah Marzia Colopi Maise Al Bakir Wing Kin Liu John Lyle Fábio C. P. Navarro Josette Northcott Rachel Marty Pyke Mark S. Hill Kerstin Thol Ariana Huebner Chris Bailey Emma Colliver Carlos Martínez‐Ruiz Kristiana Grigoriadis Piotr Pawlik David A. Moore Daniele Marinelli Oliver G. Shutkever Cian Murphy Monica Sivakumar J.F. Lester Amrita Bajaj Apostolos Nakas Azmina Sodha-Ramdeen Mohamad Tufail Molly Scotland Rebecca Boyles Sridhar Rathinam Claire Wilson Domenic Marrone Sean Dulloo Dean A. Fennell Gurdeep Matharu Ekaterini Boleti Heather Cheyne Mohammed Khalil Shirley Richardson Tracey Cruickshank Gillian Price Keith M. Kerr Sarah Benafif Jack French Kayleigh Gilbert Babu Naidu Akshay J. Patel Aya Osman Carol Enstone Gerald Langman Helen Shackleford Madava Djearaman Salma Kadiri Gary Middleton Angela Leek Jack Davies Hodgkinson Nikki Totton Ángeles Montero Elaine Smith Eustace Fontaine Felice Granato António Paiva‐Correia Juliette Novasio Kendadai Rammohan Leena Dennis Joseph Paul Bishop Rajesh Shah Stuart Moss Vijay Joshi Philip Crosbie Katherine D. Brown Mathew Carter Anshuman Chaturvedi Pedro Oliveira Colin R. Lindsay Fiona Blackhall Matthew Krebs Yvonne Summers Alexandra Clipson Jonathan Tugwood Alastair Kerr Dominic G. Rothwell Caroline Dive Hugo J.W.L. Aerts Roland F. Schwarz Tom L. Kaufmann Gareth A. Wilson Rachel Rosenthal Peter Van Loo Nicolai J. Birkbak Zoltán Szállási Judit Kisistók Mateo Sokač

Abstract Circulating tumor DNA (ctDNA) detection can predict clinical risk in early-stage tumors. However, applications are constrained by the sensitivity of clinically validated ctDNA approaches. NeXT Personal is a whole-genome-based, tumor-informed platform that has been analytically for ultrasensitive at 1–3 ppm with 99.9% specificity. Through an analysis 171 patients lung cancer from TRACERx study, we detected pre-operatively within 81% adenocarcinoma (LUAD), including 53% those...

10.1038/s41591-024-03216-y article EN cc-by Nature Medicine 2025-01-13

Kirsten rat sarcoma viral oncogene ( KRAS ) is a frequently mutated in lung cancer, now amenable to targeted therapy with allele-specific G12C inhibitors. Non-small cell cancer (NSCLC) driver mutations show geographical variability and therefore the mutation breakdown, co-occurring oncogenic rate associated PD-L1 expression were studied large UK cohort. We interrogated archival clinical next-generation sequencing (NGS) data over 5 years. 3283 NSCLC samples included, referred from 38 centres...

10.1136/jcp-2024-209972 article EN Journal of Clinical Pathology 2025-01-31

Effective implementations of sampling-based probabilistic inference often require manually constructed, model-specific proposals. Inspired by recent progresses in meta-learning for training learning agents that can generalize to unseen environments, we propose a approach building effective and generalizable MCMC We parametrize the proposal as neural network provide fast approximations block Gibbs conditionals. The learned proposals occurrences common structural motifs across different...

10.48550/arxiv.1708.06040 preprint EN other-oa arXiv (Cornell University) 2017-01-01

Aims The decision to consider adjuvant chemotherapy (AC) for non‐small cell lung cancer is currently governed by clinical stage. This study aims assess other routinely collected pathological variables related metastasis and survival their ability predict the efficacy of AC in adenocarcinoma. Methods results A retrospective single‐centre series 620 resected non‐mucinous adenocarcinoma cases from 2005 2015 was used. Digital images all slides were subjected central review, data on tumour...

10.1111/his.14301 article EN cc-by Histopathology 2020-11-06

JOSEF K. SCHMUTZ,' Department of Zoology, University Alberta, Edmonton, Alberta T6G 2E9, Canada; RICHARD W. FYFE, Environment Canada, Canadian Wildlife Service, Room 1000, 9942-108th Street, T5K 2J5, DAVID A. MOORE, Energy and Natural Resources, Fish Division, Brooks Centre, P.O. Bag 1540, Brooks, TOJ OJO, ALAN R. SMITH, Prairie Migratory Bird Research 115 Perimeter Road, Saskatoon, Saskatchewan S7N OX4, Canada.

10.2307/3801458 article EN Journal of Wildlife Management 1984-07-01

: Research suggests trauma-related nightmares (TRNs) during the acute aftermath of trauma may contribute to posttraumatic stress disorder (PTSD). However, it is unknown who most vulnerable TRNs, which critical identify at-risk patients toward whom early nightmare-focused treatments can be targeted prevent PTSD.

10.1080/20008066.2024.2409561 article EN cc-by-nc European journal of psychotraumatology 2024-10-08

Aims Cancer diagnostics have been evolving rapidly. In England, the new National Health Service Genomic Medicine (GMS) provides centralised access to genomic testing via seven regional Laboratory Hubs. The PATHways survey aimed capture pathologists’ experience with current diagnostic pathways and opportunities for optimisation ensure equitable timely biomarker testing. Methods A nationwide was conducted consultant pathologists from laboratories, direct interviews based on a structured...

10.1136/jcp-2023-208890 article EN cc-by-nc Journal of Clinical Pathology 2023-05-31

Context For management decisions that require accurate and precise estimates of large mammal population numbers, aerial surveys are considered reliable despite their cost. However, may still suffer from underestimation because undetected animals low precision as a result inefficient sampling designs. Aims We assess detection two species deer in prairie-parkland communities western Canada evaluate suite survey design features for improving the accuracy surveys. Methods Modelling was based on...

10.1071/wr11175 article EN Wildlife Research 2012-01-01

Detecting weak seismic events from noisy sensors is a difficult perceptual task. We formulate this task as Bayesian inference and propose generative model of signals across network spatially distributed stations. Our system, SIGVISA, the first to directly waveforms, allowing it incorporate rich representation physics underlying signal generation process. use Gaussian processes over wavelet parameters predict detailed waveform fluctuations based on historical events, while degrading smoothly...

10.48550/arxiv.1703.00561 preprint EN other-oa arXiv (Cornell University) 2017-01-01
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