Area of research
Pulmonary and Respiratory Medicine · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Lung Cancer Diagnosis and Treatment, Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis, Radiomics and Machine Learning in Medical Imaging, and Chronic Obstructive Pulmonary Disease (COPD) Research.
ESR Essentials: lung cancer screening with low-dose CT-practice recommendations by the European Society of Thoracic Imaging.
Upstaging of screen-detected lung cancers during diagnostic assessment.
Expanded detection of early fibrotic phenotypes using lobar traction bronchiolectasis in lung cancer screening.
Retraction Note: Antibodies against endogenous retroviruses promote lung cancer immunotherapy.
Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma.
Low-dose CT for lung cancer screening in a high-risk population (SUMMIT): a prospective, longitudinal cohort study.
Subclonal immune evasion in non-small cell lung cancer.
DNA methylation cooperates with genomic alterations during non-small cell lung cancer evolution.
ImmuneLENS characterizes systemic immune dysregulation in aging and cancer.
Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma.
Improving uptake of lung cancer screening: an observational study on the impact of timed appointments and reminders.
Quality assurance in lung cancer screening.
Performance of volume and diameter thresholds in malignancy prediction of solid nodules in lung cancer screening.
Incidence rate and malignancy risk in new nodules in a lung cancer screening programme.
Protocol for a systematic review and individual participant data meta-analysis for risk factors for lung cancer in individuals with lung nodules identified by low-dose CT screening.
Impact of Low-Dose Computed Tomography Findings on Cigarette Smoking Cessation Among High-Risk Adults Participating in Lung Cancer Screening.
Differentiating clinically important interstitial lung abnormalities in lung cancer screening.
Mixed responses to targeted therapy driven by chromosomal instability through p53 dysfunction and genome doubling.
MHC Hammer reveals genetic and non-genetic HLA disruption in cancer evolution.
The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma.
Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models.
Mortality surrogates in combined pulmonary fibrosis and emphysema.
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning.
Predicting histopathological features of aggressiveness in lung cancer using CT radiomics: a systematic review.
Determining the impact of an artificial intelligence tool on the management of pulmonary nodules detected incidentally on CT (DOLCE) study protocol: a prospective, non-interventional multicentre UK study.
Author Correction: The evolution of lung cancer and impact of subclonal selection in TRACERx.
Stage at Diagnosis Following Delay to Interval Scans for Indeterminate Nodules in Lung Cancer Screening: An Observational Study Examining the Outcomes of CHEST Expert Panel Recommendations.
Temporal evolution of chest radiographic appearances in COVID-19 with clinicoradiological associations: a multicentre United Kingdom resident-led study.
Lung adenocarcinoma promotion by air pollutants.
Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA.