Authors: Rayner, Fiona, Anderson, Amy E., Baker, Kenneth F., Buckley, Christopher D., Dyke, Bernard, Fenton, Sally, Filer, Andrew, Goodyear, Carl S., Hilkens, Catharien M. U., Hiu, Shaun, Kerrigan, Sean, Kurowska-Stolarska, Mariola, Matthews, Fiona, McInnes, Iain, Ng, Wan-Fai, Pratt, Arthur G., Prichard, Jonathan, Raza, Karim, Siebert, Stefan, Stocken, Deborah, Teare, M. Dawn, Young, Stephen, Isaacs, John D.

File Description: text

Relation: https://eprints.gla.ac.uk/248740/1/248740.pdf; Rayner, F. et al. (2021) BIOlogical Factors that Limit sustAined Remission in rhEumatoid arthritis (the BIO-FLARE study): protocol for a non-randomised longitudinal cohort study. BMC Rheumatology , 5, 22. (doi:10.1186/s41927-021-00194-3 ) (PMID:34275488) (PMCID:PMC8286860)

Availability: https://doi.org/10.1186/s41927-021-00194-3
https://eprints.gla.ac.uk/248740/
https://eprints.gla.ac.uk/248740/1/248740.pdf

Authors: Elshahaly Mohsen, Wheater Gillian, Naraghi Kamran, Tuck Stephen P, Datta Harish K, Ng Wan-Fai, van Laar Jacob M

Superior Title: BMC Musculoskeletal Disorders, Vol 14, Iss Suppl 1, p A10 (2013)

Subject Terms: Diseases of the musculoskeletal system, RC925-935

File Description: electronic resource

Relation: http://www.biomedcentral.com/1471-2474/14/S1/A10; https://doaj.org/toc/1471-2474

Access URL: https://doaj.org/article/95dd3871b51544d6a1db190f9ad5f2cf

Authors: Natasari Andini, Tarn Jessica, Fischer Roman, Lendrem Dennis, Ng Wan Fai

Superior Title: BMC Musculoskeletal Disorders, Vol 14, Iss Suppl 1, p A1 (2013)

Subject Terms: Diseases of the musculoskeletal system, RC925-935

File Description: electronic resource

Relation: http://www.biomedcentral.com/1471-2474/14/S1/A1; https://doaj.org/toc/1471-2474

Access URL: https://doaj.org/article/7c6a43a16a3c4f9baf79e96c79eb165e

Authors: Ng Wan-Fai, Naughton Michael

Superior Title: Journal of Medical Case Reports, Vol 1, Iss 1, p 55 (2007)

Subject Terms: Medicine

Relation: http://www.jmedicalcasereports.com/content/1/1/55; https://doaj.org/toc/1752-1947; https://doaj.org/article/f7970552e3b1438f9a641a0c46c8e61d

Availability: https://doi.org/10.1186/1752-1947-1-55
https://doaj.org/article/f7970552e3b1438f9a641a0c46c8e61d

Authors: Low, Sanmay, Vathsala, Anantharaman, Murali, Tanusya Murali, Pang, Long, MacLaren, Graeme, Ng, Wan-Ying, Haroon, Sabrina, Mukhopadhyay, Amartya, Lim, Shir-Lynn, Tan, Bee-Hong, Lau, Titus, Chua, Horng-Ruey

Contributors: MEDICINE, SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH, SURGERY, ANAESTHESIA

Superior Title: Elements

Subject Terms: Science & Technology, Life Sciences & Biomedicine, Urology & Nephrology, Acute kidney injury, Decision support techniques, Electronic health records, Epidemiology, Mortality, Outcomes and process assessment, Renal replacement therapy, CRITICALLY-ILL PATIENTS, DIALYSIS, AKI, MULTICENTER, INTENSITY, PROGNOSIS, FAILURE, DEATH, SCORE, MODEL

Relation: Low, Sanmay, Vathsala, Anantharaman, Murali, Tanusya Murali, Pang, Long, MacLaren, Graeme, Ng, Wan-Ying, Haroon, Sabrina, Mukhopadhyay, Amartya, Lim, Shir-Lynn, Tan, Bee-Hong, Lau, Titus, Chua, Horng-Ruey (2019-01-31). Electronic health records accurately predict renal replacement therapy in acute kidney injury. BMC NEPHROLOGY 20 (1). ScholarBank@NUS Repository. https://doi.org/10.1186/s12882-019-1206-4; https://scholarbank.nus.edu.sg/handle/10635/155324

Availability: https://doi.org/10.1186/s12882-019-1206-4
https://scholarbank.nus.edu.sg/handle/10635/155324