A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis.

Autor: Falck F; Department of Statistics, University of Oxford, UK; The Alan Turing Institute, London, UK., Zhu X; Novartis Pharmaceuticals Corporation, East Hanover, United States., Ghalebikesabi S; Department of Statistics, University of Oxford, UK., Kormaksson M; Novartis Pharmaceuticals Corporation, East Hanover, United States., Vandemeulebroecke M; UCB Farchim SA, Bulle, Switzerland., Zhang C; China Novartis Institutes for Bio-medical Research CO., Shanghai, China., Martin R; Novartis Pharmaceuticals Corporation, East Hanover, United States., Gardiner S; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, UK., Kwok CH; Medical Research Council Harwell Institute, UK., West DM; Radcliffe Department of Medicine, University of Oxford, UK., Santos L; The Alan Turing Institute, London, UK., Tian C; China Novartis Institutes for Bio-medical Research CO., Shanghai, China., Pang Y; China Novartis Institutes for Bio-medical Research CO., Shanghai, China., Readie A; Novartis Pharmaceuticals Corporation, East Hanover, United States., Ligozio G; Novartis Pharmaceuticals Corporation, East Hanover, United States., Gandhi KK; Novartis Pharmaceuticals Corporation, East Hanover, United States., Nichols TE; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, UK; Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, UK., Mallon AM; The Alan Turing Institute, London, UK., Kelly L; School of Mathematical Sciences, University College Cork, Ireland., Ohlssen D; Novartis Pharmaceuticals Corporation, East Hanover, United States., Nicholson G; Department of Statistics, University of Oxford, UK. Electronic address: george.nicholson@stats.ox.ac.uk.

Publikováno v: Journal of biomedical informatics [J Biomed Inform] 2024 Jun; Vol. 154, pp. 104641. Date of Electronic Publication: 2024 Apr 18.

The significance of structural stigma towards transgender people in health care encounters across Europe: Health care access, gender identity disclosure, and discrimination in health care as a function of national legislation and public attitudes.

Autor: Falck F; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, CAP Research Centre, Stockholm, Sweden. Felicitas.falck@ki.se.; ANOVA Clinic, Karolinska University Hospital Stockholm, Norra Stationsgatan 69, 171 76, Stockholm, Sweden. Felicitas.falck@ki.se., Bränström R; Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Nobels väg 9, 17177, Stockholm, Sweden.

Publikováno v: BMC public health [BMC Public Health] 2023 May 31; Vol. 23 (1), pp. 1031. Date of Electronic Publication: 2023 May 31.

Metallothionein and Occupational Exposure to Cadmium

Autor: Falck, F. Y., Fine, L. J., Smith, R. G., Garvey, J., Schork, A., England, B., McClatchey, K. D., Linton, J.

Publikováno v: British Journal of Industrial Medicine, 1983 Aug 01. 40(3), 305-313.

Externí odkaz: https://www.jstor.org/stable/27723726

Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models.

Autor: Madden, Wyatt G.¹ (AUTHOR) wyatt.madden@emory.edu, Jin, Wei² (AUTHOR), Lopman, Benjamin³ (AUTHOR), Zufle, Andreas² (AUTHOR), Dalziel, Benjamin⁴ (AUTHOR), E. Metcalf, C. Jessica⁵ (AUTHOR), Grenfell, Bryan T.⁵ (AUTHOR), Lau, Max S. Y.¹ (AUTHOR) msy.lau@emory.edu

Publikováno v: PLoS Computational Biology. 11/21/2024, Vol. 20 Issue 11, p1-17. 17p.

Robot DE NIRO: A Human-Centered, Autonomous, Mobile Research Platform for Cognitively-Enhanced Manipulation.

Autor: Falck F; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Department of Computing, Imperial College London, London, United Kingdom., Doshi S; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Department of Computing, Imperial College London, London, United Kingdom., Tormento M; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Department of Bioengineering, Imperial College London, London, United Kingdom., Nersisyan G; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Department of Bioengineering, Imperial College London, London, United Kingdom., Smuts N; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Department of Computing, Imperial College London, London, United Kingdom., Lingi J; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Department of Computing, Imperial College London, London, United Kingdom., Rants K; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Department of Computing, Imperial College London, London, United Kingdom., Saputra RP; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Dyson School of Design Engineering, Imperial College London, London, United Kingdom.; Research Center for Electrical Power and Mechatronics, Indonesian Institute of Sciences - LIPI, Jakarta, Indonesia., Wang K; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Dyson School of Design Engineering, Imperial College London, London, United Kingdom., Kormushev P; Robot Intelligence Lab, Imperial College London, London, United Kingdom.; Dyson School of Design Engineering, Imperial College London, London, United Kingdom.

Publikováno v: Frontiers in robotics and AI [Front Robot AI] 2020 Jul 23; Vol. 7, pp. 66. Date of Electronic Publication: 2020 Jul 23 (Print Publication: 2020).