Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK.
Journal article
Lee SI. et al, (2023), BMJ Open, 13
Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019.
Journal article
Subramanian A. et al, (2023), BMC Med, 21
Promises and challenges of adoptive T-cell therapies for solid tumours
Journal article
Morotti M. et al, (2021), British Journal of Cancer, 124, 1759 - 1776
The Oxford Classic Links Epithelial-to-Mesenchymal Transition to Immunosuppression in Poor Prognosis Ovarian Cancers
Journal article
Hu Z. et al, (2021), Clinical Cancer Research, 27, 1570 - 1579
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.
Journal article
Cruz Rivera S. et al, (2020), Lancet Digit Health, 2, e549 - e560
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.
Journal article
Liu X. et al, (2020), Lancet Digit Health, 2, e537 - e548
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension
Journal article
Rivera SC. et al, (2020), BMJ, m3210 - m3210
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension
Journal article
Liu X. et al, (2020), BMJ, m3164 - m3164
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
Journal article
Cruz Rivera S. et al, (2020), Nature Medicine, 26, 1351 - 1363
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.
Journal article
Liu X. et al, (2020), Nat Med, 26, 1364 - 1374
Pan-cancer detection of driver genes at the single-patient resolution
Preprint
Nulsen J. et al, (2020)
Augmented ensemble MCMC sampling in factorial Hidden Markov models
Conference paper
Märtens K. et al, (2020), AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics
Author Correction: Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed.
Journal article
CONSORT-AI and SPIRIT-AI Steering Group None., (2019), Nat Med, 25
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Journal article
Menden MP. et al, (2019), Nature Communications, 10
Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed.
Journal article
CONSORT-AI and SPIRIT-AI Steering Group None., (2019), Nat Med, 25, 1467 - 1468
Deep single-cell RNA-seq of the putative cell of origin revealed a novel molecular subtype of high-grade serous ovarian cancer with poor prognosis
Conference paper
Hu Z. et al, (2019), CANCER RESEARCH, 79
MixDir: Scalable bayesian clustering for high-dimensional categorical data
Conference paper
Ahlmann-Eltze C. and Yau C., (2019), Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018, 526 - 539
DigiPico: A whole-genome sequencing approach to investigate microscopic residual chemotherapy resistance disease in ovarian cancer
Conference paper
KaramiNejadRanjbar M. et al, (2018), CANCER RESEARCH, 78
Probabilistic Boolean tensor decomposition
Conference paper
Rukat T. et al, (2018), 35th International Conference on Machine Learning, ICML 2018, 10, 7007 - 7020
Abstract LB-340: A novel method for estimating somatic mutations cellular prevalence in cancer using whole genome haplotype phasing
Conference paper
Chedom-Fotso D. et al, (2016), Tumor Biology