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Charles-Antoine Collins-Fekete

Has grant

Principal Research Fellow

University College London

United Kingdom

Research Interests

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Recent Grants

Grant: Open

Proton radiography for adaptive radiotherapy and image guidance using a novelimage detection system

Open Date: 2023-12-01

Close Date: 2026-11-30

Grant: Close

AI-based diagnosis for improving classification of bone and soft tissue tumours across the UK

Open Date: 2023-10-01

Close Date: 2025-03-31

Grant: Close

Personalised lung cancer treatment through outcomes predictions and patient stratification

Open Date: 2020-09-16

Close Date: 2025-03-16

Grant: Close

Investigation of nuclear emitted prompt-gamma rays from heavy ions beams for spectroscopic tissue characterization and beam geometry definition in nuclear and medical physics.

Open Date: 2017-04-01

Close Date: 2018-03-31

Grant: Close

Sur l'utilisation de la radiographie en proton pour réduire lesincertitudes de parcours et améliorer le positionnement du patient lors dela thérapie en proton.

Open Date: 2014-04-01

Close Date: 2017-03-31

Articles (20)

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Collaborators (34)

Ricky Thakrar

University College London

UNITED KINGDOM

Charles-Antoine Collins-Fekete

Research Interests

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Recent Grants

Articles (20)

ImmuneLENS characterizes systemic immune dysregulation in aging and cancer

Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma

Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma

Subclonal immune evasion in non-small cell lung cancer

DNA methylation cooperates with genomic alterations during non-small cell lung cancer evolution

AI-powered immune profiling from histopathology slides for chemo-radiotherapy outcome prediction in rectal cancer: a study using clinical trial and real-world cohorts

Imaging lung tumor motion using integrated-mode proton radiography-A phantom study towards tumor tracking in proton radiotherapy

Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models

Focus stacking single-event particle radiography for high spatial resolution images and 3D feature localization

MHC Hammer reveals genetic and non-genetic HLA disruption in cancer evolution

Mixed responses to targeted therapy driven by chromosomal instability through p53 dysfunction and genome doubling

High-Density Glass Scintillators for Proton Radiography—Relative Luminosity, Proton Response, and Spatial Resolution

Integrated-mode proton radiography with 2D lateral projections

Author Correction: The evolution of lung cancer and impact of subclonal selection in TRACERx (Nature, (2023), 616, 7957, (525-533), 10.1038/s41586-023-05783-5)

A deep learning framework deploying segment anything to detect pan-cancer mitotic figures from haematoxylin and eosin-stained slides

The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma

Ion and secondary imaging

Body composition and lung cancer-associated cachexia in TRACERx

A likelihood-based particle imaging filter using prior information

Antibodies against endogenous retroviruses promote lung cancer immunotherapy.

Collaborators (34)

Ricky Thakrar

Zhuoyan Shen

Mihaela Angelova

Miriam Molina Arcas

Martin Forster

Nicholas West

George Kassiotis

Charles Swanton

Sumeet Hindocha

Douglas Brand

Fiona Blackhall

Clare Puttick

Sian Harries

Kevin Litchfield

Ignacio Matos

Yin Wu

Ariana Huebner

Maria Andreia Hawkins

Manuel Varas-Godoy

David Pearce

Phil Crosbie

Christian Graeff

James Black

Clare Weeden

Helen Lowe

Sam Beddar

Adam Levine

Georgia Stavrou

Javier Herrero

Wei-Ting Lu

Reinhard Schulte

Mikaël Simard

Nicolai Birkbak

Gary Middleton

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