Browsing William Harvey Research Institute by Title

QM107, a novel CD148 (RTP Type J) activating peptide therapy for treating neovascular age-related macular degeneration.

Arokiasamy, S; Balderstone, MJM; Shaik, F; Cristante, E; Moseley, TC; Madoo, A; Rizzi, M; Bainbridge, JW; Tsoyi, K; Rosas, IO (Wiley, 2024-10-20)

BACKGROUND AND PURPOSE: Angiogenesis is a pathological component of neovascular age-related macular degeneration. Current therapies, although successful, are prone to high levels of patient non-response and a loss of ...

QSOX2 Deficiency-induced short stature, gastrointestinal dysmotility and immune dysfunction

Maharaj, AV; Ishida, M; Rybak, A; Elfeky, R; Andrews, A; Joshi, A; Elmslie, F; Joensuu, A; Kantojärvi, K; Jia, RY (2024-12-01)

Postnatal growth failure is often attributed to dysregulated somatotropin action, however marked genetic and phenotypic heterogeneity exist. We report five patients from three families who present with short stature, immune ...

Quality control of cardiac magnetic resonance imaging segmentation, feature tracking, aortic flow and native T1 analysis using automated batch processing in the UK Biobank Study

Chadalavada, S; Rauseo, E; Salih, A; Naderi, H; Khanji, M; Vargas, JD; Lee, AM; Amir-Kalili, A; Lockhart, L; Graham, B

Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging

Hann, E; Biasiolli, L; Zhang, Q; Popescu, IA; Werys, K; Lukaschuk, E; Carapella, V; Paiva, JM; Aung, N; Rayner, JJ (Springer, Cham, 2019-10-10)

© 2019, Springer Nature Switzerland AG. Recent progress in fully-automated image segmentation has enabled efficient extraction of clinical parameters in large-scale clinical imaging studies, reducing laborious manual ...

Quality of life in patients with adrenal disease: A systematic review.

Ho, W; Druce, M (2018-04-19)

BACKGROUND: Evaluating the patient with adrenal disease is challenging due to the lack of precise clinical and biochemical parameters for disease control. Quality of life (QOL) evaluation aims to measure the patient's ...

Quantification of Epicardial Adipose Tissue Volume and Attenuation for Cardiac CT Scans Using Deep Learning in a Single Multi-Task Framework

Abdulkareem, M; Brahier, MS; Zou, F; Rauseo, E; Uchegbu, I; Taylor, A; Thomaides, A; Bergquist, PJ; Srichai, MB; Lee, AM (2022)

Quantifying prediction of pathogenicity for within-codon concordance (PM5) using 7541 functional classifications of BRCA1 and MSH2 missense variants

Loong, L; Cubuk, C; Choi, S; Allen, S; Torr, B; Garrett, A; Loveday, C; Durkie, M; Callaway, A; Burghel, GJ (2022)

Quantifying stochasticity in the aging DNA methylome.

Bell, CG (Nature Research, 2024-05-16)

Aging-related DNA methylation changes are numerous. Their precise measurement has opened new avenues to explore aging-related disease pathology, including the construction of chronological and biological age predictors ...

Quantifying the Excess Risk of Adverse COVID-19 Outcomes in Unvaccinated Individuals With Diabetes Mellitus, Hypertension, Ischaemic Heart Disease or Myocardial Injury: A Meta-Analysis

Ng, SM; Pan, J; Mouyis, K; Kondapally Seshasai, SR; Kapil, V; Rice, KM; Gupta, AK (2022)

Quantifying the extent to which index event biases influence large genetic association studies

Yaghootkar, H; Bancks, MP; Jones, SE; McDaid, A; Beaumont, R; Donnelly, L; Wood, AR; Campbell, A; Tyrrell, J; Hocking, LJ (2017-03-01)

Quantitative assessment of barriers to the clinical development and adoption of cellular therapies: A pilot study.

Davies, BM; Rikabi, S; French, A; Pinedo-Villanueva, R; Morrey, ME; Wartolowska, K; Judge, A; MacLaren, RE; Mathur, A; Williams, DJ (Sage Publications, 2014-09-19)

There has been a large increase in basic science activity in cell therapy and a growing portfolio of cell therapy trials. However, the number of industry products available for widespread clinical use does not match this ...

Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation

Attar, R; Pereanez, M; Gooya, A; Alba, X; Zhang, L; de Vila, MH; Lee, AM; Aung, N; Lukaschuk, E; Sanghvi, MM (2019-08)

Quantitative Computed Tomographic Coronary Angiography Does It Predict Functionally Significant Coronary Stenoses?

Rossi, A; Papadopoulou, S-L; Pugliese, F; Russo, B; Dharampal, AS; Dedic, A; Kitslaar, PH; Broersen, A; Meijboom, WB; van Geuns, R-J (2014-01)

Quantitative flow ratio to predict non-target-vessel-related events at 5 years in STEMI patients undergoing angiography-guided revascularization

Baer, S; Kavaliauskaite, R; Ueki, Y; Otsuka, T; Engstrom, T; Baumbach, A; Roffi, M; Von Birgelen, C; Vukcevic, V; Pedrazzini, G (Oxford University Press (OUP), 2020-11-01)

Quantitative Flow Ratio to Predict Nontarget Vessel-Related Events at 5 Years in Patients With ST-Segment-Elevation Myocardial Infarction Undergoing Angiography-Guided Revascularization.

Bär, S; Kavaliauskaite, R; Ueki, Y; Otsuka, T; Kelbæk, H; Engstrøm, T; Baumbach, A; Roffi, M; von Birgelen, C; Ostojic, M (2021-05-04)

Background In ST-segment-elevation myocardial infarction, angiography-based complete revascularization is superior to culprit-lesion-only percutaneous coronary intervention. Quantitative flow ratio (QFR) is a novel, ...

Quantitative Myocardial Perfusion Predicts Outcomes in Patients With Prior Surgical Revascularization

Seraphim, A; Dowsing, B; Rathod, KS; Shiwani, H; Patel, K; Knott, KD; Zaman, S; Johns, I; Razvi, Y; Patel, R (2022)

A quantitative, multi-national and multi-stakeholder assessment of barriers to the adoption of cell therapies

Davies, BM; Smith, J; Rikabi, S; Wartolowska, K; Morrey, M; French, A; MacLaren, R; Williams, D; Bure, K; Pinedo-Villanueva, R (2017-08-11)

Queen Mary University London: one of the longest established masters of sport and exercise medicine globally (continuing professional development series).

Lack, S; Birn-Jeffery, A; Beasley, I; Morrissey, D (2018-02)

RA SYNOVIAL RECOMBINANT MONOCLONAL ANTIBODIES FROM SINGLE B CELLS TARGET CITRULLINATED CALRETICULIN

Corsiero, E; Jagemann, L; Prediletto, E; Pitzalis, C; Bombardieri, M (2017-03-01)

Meeting abstract 08.34 from 37th European Workshop on Rheumatology Research (EWRR) Athens, GREECE, MAR 02-04, 2017

The RA-MAP Consortium: a working model for academia-industry collaboration

Cope, AP; Barnes, MR; Belson, A; Binks, M; Brockbank, S; Bonachela-Capdevila, F; Carini, C; Fisher, BA; Goodyear, CS; Emery, P (2018-01)