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Quantitative Systems Pharmacology and Machine Learning: A Match Made in Heaven or Hell?

Autor: Tindall MJ; Department of Mathematics and Statistics and Institute of Cardiovascular and Metabolic Research, University of Reading, Whiteknights, Reading, United Kingdom (M.J.T.); GSK Medicines Research Centre, Stevenage, United Kingdom (L.C.-S., J.W.T.Y.); and Pharmacy, Division of Pharmacy and Optometry, University of Manchester, Oxford Road, Manchester, United Kingdom (H.M.) m.tindall@reading.ac.uk., Cucurull-Sanchez L; Department of Mathematics and Statistics and Institute of Cardiovascular and Metabolic Research, University of Reading, Whiteknights, Reading, United Kingdom (M.J.T.); GSK Medicines Research Centre, Stevenage, United Kingdom (L.C.-S., J.W.T.Y.); and Pharmacy, Division of Pharmacy and Optometry, University of Manchester, Oxford Road, Manchester, United Kingdom (H.M.)., Mistry H; Department of Mathematics and Statistics and Institute of Cardiovascular and Metabolic Research, University of Reading, Whiteknights, Reading, United Kingdom (M.J.T.); GSK Medicines Research Centre, Stevenage, United Kingdom (L.C.-S., J.W.T.Y.); and Pharmacy, Division of Pharmacy and Optometry, University of Manchester, Oxford Road, Manchester, United Kingdom (H.M.)., Yates JWT; Department of Mathematics and Statistics and Institute of Cardiovascular and Metabolic Research, University of Reading, Whiteknights, Reading, United Kingdom (M.J.T.); GSK Medicines Research Centre, Stevenage, United Kingdom (L.C.-S., J.W.T.Y.); and Pharmacy, Division of Pharmacy and Optometry, University of Manchester, Oxford Road, Manchester, United Kingdom (H.M.).

Publikováno v: The Journal of pharmacology and experimental therapeutics [J Pharmacol Exp Ther] 2023 Oct; Vol. 387 (1), pp. 92-99. Date of Electronic Publication: 2023 Aug 31.

Protocol for a process evaluation: face-to-face physiotherapy compared with a supported home exercise programme for the management of musculoskeletal conditions: the REFORM trial.

Autor: Withers HG; John Walsh Centre for Rehabilitation Research, Northern Sydney Local Health District, The University of Sydney, Kolling Institute, Sydney, NSW, Australia., Liu H; The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia., Glinsky JV; John Walsh Centre for Rehabilitation Research, Northern Sydney Local Health District, The University of Sydney, Kolling Institute, Sydney, NSW, Australia., Chu J; John Walsh Centre for Rehabilitation Research, Northern Sydney Local Health District, The University of Sydney, Kolling Institute, Sydney, NSW, Australia., Jennings MD; Physiotherapy Department, South Western Sydney Local Health District, Liverpool, New South Wales, Australia., Hayes AJ; School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia., Starkey IJ; Physiotherapy Department, Blacktown and Mount Druitt Hospital, Blacktown, New South Wales, Australia., Palmer BA; Physiotherapy Department, Blacktown and Mount Druitt Hospital, Blacktown, New South Wales, Australia., Szymanek L; Physiotherapy Department, Campbelltown Hospital, Campbelltown, New South Wales, Australia., Cruwys JJ; Physiotherapy Department, Campbelltown Hospital, Campbelltown, New South Wales, Australia., Wong D; Physiotherapy Department, Liverpool Hospital, Liverpool, New South Wales, Australia., Duong K; Physiotherapy Department, Liverpool Hospital, Liverpool, New South Wales, Australia., Barnett A; Physiotherapy Department, Bankstown Hospital, Bankstown, New South Wales, Australia., Tindall MJ; Physiotherapy Department, Bankstown Hospital, Bankstown, New South Wales, Australia., Lucas BR; Physiotherapy Department, Royal North Shore Hospital, St Leonards, New South Wales, Australia., Lambert TE; Physiotherapy Department, Royal North Shore Hospital, St Leonards, New South Wales, Australia., Taylor DA; Physiotherapy Department, Royal North Shore Hospital, St Leonards, New South Wales, Australia., Sherrington C; Institute for Musculoskeletal Health, The University of Sydney, Sydney, New South Wales, Australia., Ferreira ML; Sydney Musculoskeletal Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia., Maher CG; Institute for Musculoskeletal Health, School of Public Health, The University of Sydney, Camperdown, New South Wales, Australia., Zadro JR; Institute for Musculoskeletal Health, School of Public Health, The University of Sydney, Camperdown, New South Wales, Australia., Harvey LA; John Walsh Centre for Rehabilitation Research, Northern Sydney Local Health District, The University of Sydney, Kolling Institute, Sydney, NSW, Australia l.harvey@usyd.edu.au.

Publikováno v: BMJ open [BMJ Open] 2022 Jul 05; Vol. 12 (7), pp. e057790. Date of Electronic Publication: 2022 Jul 05.

Integrating protein networks and machine learning for disease stratification in the Hereditary Spastic Paraplegias.

Autor: Vavouraki N; School of Pharmacy, University of Reading, Reading, RG6 6AX, UK.; Department of Mathematics and Statistics, University of Reading, Reading, RG6 6AX, UK., Tomkins JE; School of Pharmacy, University of Reading, Reading, RG6 6AX, UK., Kara E; Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK., Houlden H; Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK., Hardy J; Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK.; UK Dementia Research Institute at UCL and Department of Neurodegenerative Disease, UCL IoN, UCL London, W1T 7NF UK.; Reta Lila Weston Institute, UCL IoN, 1 Wakefield Street, London, WC1N 1PJ, UK.; UCL Movement Disorders Centre, Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK.; Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong SAR, China.; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA., Tindall MJ; Department of Mathematics and Statistics, University of Reading, Reading, RG6 6AX, UK.; Institute of Cardiovascular and Metabolic Research, University of Reading, Reading, RG6 6AS, UK., Lewis PA; School of Pharmacy, University of Reading, Reading, RG6 6AX, UK.; Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, WC1N 3BG, UK.; Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.; Department of Comparative Biomedical Sciences, Royal Veterinary College, London, NW1 0TU, UK., Manzoni C; School of Pharmacy, University of Reading, Reading, RG6 6AX, UK.; School of Pharmacy, University College London, London, WC1N 1AX, UK.

Publikováno v: IScience [iScience] 2021 Apr 28; Vol. 24 (5), pp. 102484. Date of Electronic Publication: 2021 Apr 28 (Print Publication: 2021).

A model of the PI cycle reveals the regulating roles of lipid-binding proteins and pitfalls of using mosaic biological data.

Autor: Mazet F; ICMR, School of Biological Sciences, The University of Reading, Whiteknights, Reading, RG6 6AS, UK. f.m.mazet@reading.ac.uk., Tindall MJ; Department of Mathematics and Statistics, The University of Reading, Whiteknights, Reading, RG6 6AX, UK., Gibbins JM; ICMR, School of Biological Sciences, The University of Reading, Whiteknights, Reading, RG6 6AS, UK., Fry MJ; ICMR, School of Biological Sciences, The University of Reading, Whiteknights, Reading, RG6 6AS, UK.

Publikováno v: Scientific reports [Sci Rep] 2020 Aug 06; Vol. 10 (1), pp. 13244. Date of Electronic Publication: 2020 Aug 06.