The Life and Times of Ella Lorton, A Pendleton, SC Confederate Ernest McPherson Lander, Jr.

Publikováno v: The South Carolina Historical Magazine, 1997 Jan 01. 98(1), 117-118.

Externí odkaz: https://www.jstor.org/stable/27570221

Prognostic factors for worsening and improvement in multiple sclerosis using a multistate model.

Autor: Ocampo A; Novartis Pharma AG, Basel, Switzerland., Hatami F; Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK., Čuklina J; Novartis Pharma AG, Basel, Switzerland., Graham G; Novartis Pharma AG, Basel, Switzerland., Ganjgahi H; Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK.; Department of Statistics, University of Oxford, Oxford, UK., Sun Y; Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK., Su W; Novartis Pharmaceuticals, East Hanover, NJ, USA., Mousseau MC; Novartis Ireland Ltd, Dublin, Ireland., Gardiner S; Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK., Pendleton SC; Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK., Aarden P; Novartis Pharma AG, Basel, Switzerland., Kieseier BC; Novartis Pharma AG, Basel, Switzerland., Arnold DL; McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada., Bermel RA; Mellen Center for Multiple Sclerosis, Department of Neurology, Cleveland Clinic, Cleveland, OH, USA., Häring DA; Novartis Pharma AG, Basel, Switzerland., Nichols TE; Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, Big Data Institute, University of Oxford, Oxford, UK., Wiendl H; Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany.; Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.

Publikováno v: Multiple sclerosis (Houndmills, Basingstoke, England) [Mult Scler] 2024 Oct; Vol. 30 (11-12), pp. 1455-1467. Date of Electronic Publication: 2024 Sep 28.

Klarigi: Characteristic explanations for semantic biomedical data.

Autor: Slater K; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, UK; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, UK; MRC Health Data Research UK (HDR UK), Midlands, UK; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, UK. Electronic address: l.slater.1@bham.ac.uk., Williams JA; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, UK; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, UK; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, UK., Schofield PN; Department of Physiology, Development, and Neuroscience, University of Cambridge, UK., Russell S; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, UK., Pendleton SC; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, UK., Karwath A; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, UK; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, UK; MRC Health Data Research UK (HDR UK), Midlands, UK; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, UK., Fanning H; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, UK; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, UK., Ball S; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, UK; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, UK., Hoehndorf R; Computer, Electrical and Mathematical Sciences & Engineering Division, Computational Bioscience Research Center, King Abdullah University of Science and Technology, UK., Gkoutos GV; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, UK; Institute of Translational Medicine, University Hospitals Birmingham, NHS Foundation Trust, UK; NIHR Experimental Cancer Medicine Centre, UK; NIHR Surgical Reconstruction and Microbiology Research Centre, UK; NIHR Biomedical Research Centre, UK; MRC Health Data Research UK (HDR UK), Midlands, UK; University Hospitals Birmingham NHS Foundation Trust, Edgbaston, Birmingham, UK.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2023 Feb; Vol. 153, pp. 106425. Date of Electronic Publication: 2022 Dec 22.

Multimorbidity prediction using link prediction.

Autor: Aziz F; Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, B15 2TT, UK. f.aziz@bham.ac.uk.; Institute of Translational Medicine, University of Birmingham, Birmingham, B15 2TT, UK. f.aziz@bham.ac.uk., Cardoso VR; Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham, B15 2TT, UK., Bravo-Merodio L; Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham, B15 2TT, UK., Russ D; Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham, B15 2TT, UK., Pendleton SC; Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham, B15 2TT, UK., Williams JA; Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham, B15 2TT, UK., Acharjee A; Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham, B15 2TT, UK.; NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospital Birmingham, Birmingham, B15 2WB, UK., Gkoutos GV; Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham, B15 2TT, UK.; NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospital Birmingham, Birmingham, B15 2WB, UK.; MRC Health Data Research UK (HDR UK), Birmingham, B15 2TT, UK.; NIHR Experimental Cancer Medicine Centre, B15 2TT, Birmingham, UK.; NIHR Biomedical Research Centre, University Hospital Birmingham, Birmingham, B15 2WB, UK.

Publikováno v: Scientific reports [Sci Rep] 2021 Aug 12; Vol. 11 (1), pp. 16392. Date of Electronic Publication: 2021 Aug 12.

A Causal Web between Chronotype and Metabolic Health Traits.

Autor: Williams JA; Centre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham B15 2TT, UK., Russ D; Centre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham B15 2TT, UK., Bravo-Merodio L; Centre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham B15 2TT, UK., Cardoso VR; Centre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham B15 2TT, UK., Pendleton SC; Centre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham B15 2TT, UK., Aziz F; Centre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham B15 2TT, UK., Acharjee A; Centre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham B15 2TT, UK.; NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospital Birmingham, Birmingham B15 2WB, UK., Gkoutos GV; Centre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.; Institute of Translational Medicine, University of Birmingham, Birmingham B15 2TT, UK.; NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospital Birmingham, Birmingham B15 2WB, UK.; MRC Health Data Research UK (HDR), Midlands Site, Birmingham B15 2TT, UK.; NIHR Experimental Cancer Medicine Centre, Birmingham B15 2TT, UK.; NIHR Biomedical Research Centre, University Hospital Birmingham, Birmingham B15 2WB, UK.

Publikováno v: Genes [Genes (Basel)] 2021 Jul 01; Vol. 12 (7). Date of Electronic Publication: 2021 Jul 01.