Gray, Richard
University of Oxford
16 papers on CoChatORCID 0000-0003-4440-574X
Most cited papers
- Verified
Mortality in relation to smoking: 40 years' observations on male British doctors
Doll, R., Peto, R., Wheatley, K., Gray, R., & Sutherland, I. (1994) · BMJ
Smoking Behavior and CessationGlobal Cancer Incidence and Screening
Cited by 5,932
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Long-term effects of continuing adjuvant tamoxifen to 10 years versus stopping at 5 years after diagnosis of oestrogen receptor–positive breast cancer: ATLAS, a randomised trial
Davies, C., Pan, H., Godwin, J., Gray, R., Arriagada, R., Raina, V., Abraham, M., Alencar, V. H. M., Badran, A., Bonfill, X., et al. (2013) · The Lancet
Breast Cancer Treatment StudiesEstrogen and related hormone effects
Cited by 2,044
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A genome-wide association scan of tag SNPs identifies a susceptibility variant for colorectal cancer at 8q24.21
the CORGI Consortium, Tomlinson, I., Webb, E., Carvajal-Carmona, L., Broderick, P., Kemp, Z., Spain, S., Penegar, S., Chandler, I., Gorman, M., et al. (2007) · Nature Genetics
Genetic Associations and EpidemiologyGenetic factors in colorectal cancer
Cited by 808
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Donepezil and memantine for moderate-to-severe Alzheimer's disease
Howard, R., McShane, R., Lindesay, J., Ritchie, C., Baldwin, A., Barber, R., Burns, A., Dening, T., Findlay, D., Holmes, C., et al. (2012) · New England Journal of Medicine
Dementia and Cognitive Impairment ResearchCholinesterase and Neurodegenerative Diseases
Cited by 782
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Disease-free survival versus overall survival as a primary end point for adjuvant colon cancer studies: individual patient data from 20,898 patients on 18 randomized trials
Sargent, D. J., Wieand, H. S., Haller, D. G., Gray, R., Benedetti, J. K., Buyse, M., Labianca, R., Seitz, J. F., O'Callaghan, C. J., Francini, G., et al. (2005) · Journal of Clinical Oncology
Statistical Methods in Clinical TrialsColorectal Cancer Treatments and Studies
Cited by 713
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A randomised controlled trial of the clinical effectiveness and cost-effectiveness of the levonorgestrel-releasing intrauterine system in primary care against standard treatment for menorrhagia: the ECLIPSE trial
Gupta, J. K., Daniels, J. P., Middleton, L. J., Pattison, H. M., Prileszky, G., Roberts, T. E., Sanghera, S., Barton, P., Gray, R., Kai, J., et al. (2015) · Health Technology Assessment
Menstrual Health and DisordersReproductive Health and Contraception
Cited by 399
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Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning
Echle, A., Grabsch, H. I., Quirke, P., van den Brandt, P. A., West, N. P., Hutchins, G. G. A., Heij, L. R., Tan, X., Richman, S. D., Krause, J., et al. (2020) · Gastroenterology
Genetic factors in colorectal cancerAI in cancer detection
Cited by 376
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Large-scale randomized evidence: Large, simple trials and overviews of trials
Peto, R., Collins, R., & Gray, R. (1995) · Journal of Clinical Epidemiology
Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials
Cited by 365
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Effects of acarbose on cardiovascular and diabetes outcomes in patients with coronary heart disease and impaired glucose tolerance (ACE): a randomised, double-blind, placebo-controlled trial
Holman, R. R., Coleman, R. L., Chan, J. C. N., Chiasson, J.-L., Feng, H., Ge, J., Gerstein, H. C., Gray, R., Huo, Y., Lang, Z., et al. (2017) · The Lancet Diabetes & Endocrinology
Diabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 323
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Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study
Wagner, S. J., Reisenbüchler, D., West, N. P., Niehues, J. M., Zhu, J., Foersch, S., Veldhuizen, G. P., Quirke, P., Grabsch, H. I., van den Brandt, P. A., et al. (2023) · Cancer Cell
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 275
- Verified · note
HER2 overexpression and amplification as a potential therapeutic target in colorectal cancer: analysis of 3256 patients enrolled in the QUASAR , FOCUS and PICCOLO colorectal cancer trials
Richman, S. D., Southward, K., Chambers, P., Cross, D., Barrett, J., Hemmings, G., Taylor, M., Wood, H., Hutchins, G., Foster, J. M., et al. (2016) · The Journal of Pathology
Colorectal Cancer Treatments and StudiesHER2/EGFR in Cancer Research
Cited by 241
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Swarm learning for decentralized artificial intelligence in cancer histopathology
Saldanha, O. L., Quirke, P., West, N. P., James, J. A., Loughrey, M. B., Grabsch, H. I., Salto-Tellez, M., Alwers, E., Cifci, D., Ghaffari Laleh, N., et al. (2022) · Nature Medicine
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 227
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Minocycline at 2 Different Dosages vs Placebo for Patients With Mild Alzheimer Disease: A Randomized Clinical Trial
Howard, R., Zubko, O., Bradley, R., Harper, E., Pank, L., O’Brien, J., Fox, C., Tabet, N., Livingston, G., Bentham, P., et al. (2020) · JAMA Neurology
Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research
Cited by 194
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Determining the minimum clinically important differences for outcomes in the DOMINO trial
Howard, R., Phillips, P., Johnson, T., O'Brien, J., Sheehan, B., Lindesay, J., Bentham, P., Burns, A., Ballard, C., Holmes, C., et al. (2011) · International Journal of Geriatric Psychiatry
Dementia and Cognitive Impairment ResearchStatistical Methods in Clinical Trials
Cited by 185
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Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application
Echle, A., Ghaffari Laleh, N., Quirke, P., Grabsch, H. I., Muti, H. S., Saldanha, O. L., Brockmoeller, S. F., van den Brandt, P. A., Hutchins, G. G. A., Richman, S. D., et al. (2022) · ESMO Open
AI in cancer detectionGenetic factors in colorectal cancer
Cited by 111
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Assistive technology and telecare to maintain independent living at home for people with dementia: the ATTILA RCT
Gathercole, R., Bradley, R., Harper, E., Davies, L., Pank, L., Lam, N., Davies, A., Talbot, E., Hooper, E., Winson, R., et al. (2021) · Health Technology Assessment
Dementia and Cognitive Impairment ResearchTechnology Use by Older Adults
Cited by 65
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