Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study.

Autor: Turner C; Interdisciplinary Computing and Complex BioSystems (ICOS) Research Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK., Pardo LM; Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands., Gunn DA; Unilever King's Biosciences Innovation Hub, King's College London, London, UK., Zillmer R; Unilever Research and Development, Port Sunlight, UK., Mekić S; Department of Dermatology, University Medical Center Utrecht, Utrecht, The Netherlands., Liu F; Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands., Ikram MA; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands., Klaver CCW; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Ophthalmology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands., Croll PH; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands., Goedegebure A; Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands., Trajanoska K; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands., Rivadeneira F; Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands., Kavousi M; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands., Brusselle GGO; Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Respiratory Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.; Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium., Kayser M; Department of Genetic Identification, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands., Nijsten T; Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands., Bacardit J; Interdisciplinary Computing and Complex BioSystems (ICOS) Research Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.

Publikováno v: Journal of the European Academy of Dermatology and Venereology : JEADV [J Eur Acad Dermatol Venereol] 2024 Dec; Vol. 38 (12), pp. 2295-2302. Date of Electronic Publication: 2024 Oct 03.

Genetic effects on the skin methylome in healthy older twins.

Autor: Shore CJ; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK. Electronic address: christopher.shore@kcl.ac.uk., Villicaña S; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK., El-Sayed Moustafa JS; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK., Roberts AL; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK., Gunn DA; Unilever R&D, King's College London, London, UK., Bataille V; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK., Deloukas P; William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK., Spector TD; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK., Small KS; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK., Bell JT; Department of Twin Research and Genetic Epidemiology, King's College London, London, UK. Electronic address: jordana.bell@kcl.ac.uk.

Publikováno v: American journal of human genetics [Am J Hum Genet] 2024 Sep 05; Vol. 111 (9), pp. 1932-1952. Date of Electronic Publication: 2024 Aug 12.

Review canine tuberculosis - An emerging concern.

Autor: Barker EN; Langford Vets, University of Bristol, Langford BS40 5DU, United Kingdom; Bristol Veterinary School, University of Bristol, Langford BS40 5DU, United Kingdom. Electronic address: emi.barker@bristol.ac.uk., O'Halloran C; Royal (Dick) School of Veterinary Studies and The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, United Kingdom., Gunn-Moore DA; Royal (Dick) School of Veterinary Studies and The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, United Kingdom.

Publikováno v: Veterinary journal (London, England : 1997) [Vet J] 2024 Jun; Vol. 305, pp. 106111. Date of Electronic Publication: 2024 Apr 09.

Clinicopathological findings, treatment, and outcome in 60 cats with gastrointestinal eosinophilic sclerosing fibroplasia.

Autor: Černá P; Department of Clinical Sciences, Colorado State University, Fort Collins, Colorado, USA.; Small Animal Clinic, The University of Veterinary Sciences Brno, Brno, Czech Republic., Lopez-Jimenez C; North Downs Specialist Referrals, Bletchingley, UK., Fukushima K; Veterinary Specialists & Emergency Center, Kawaguchi-shi, Saitama, Japan., Nakashima K; Small Animal Medical Center, Saitama, Japan., Nakagawa T; Veterinary Medical Centre, The University of Tokyo, Tokyo, Japan., Adam F; North Downs Specialist Referrals, Bletchingley, UK., Groth A; North Downs Specialist Referrals, Bletchingley, UK., Denning A; North Downs Specialist Referrals, Bletchingley, UK., Israeliantz N; The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, UK., Gunn-Moore DA; The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Midlothian, UK.

Publikováno v: Journal of veterinary internal medicine [J Vet Intern Med] 2024 Mar-Apr; Vol. 38 (2), pp. 1005-1012. Date of Electronic Publication: 2024 Jan 11.

Scalp hair loss is not random across follicular units: A new insight into human hair ageing.

Autor: Luo J; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China., Qian Q; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China., Zheng W; Quality Standards, Institute of Animal Husbandry of Xinjiang Academy Animal Science (Xinjiang Breeding Sheep and Wool Cashmere Quality Safety Supervision and Inspection Center), Urumqi, China., Gripkauskaite I; Unilever R&D, Bedfordshire, UK., Wu S; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China.; State Key Laboratory of Genetic Engineering and Ministry of Education, Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.; Human Phenome Institute, Fudan University, Shanghai, China., Zhang M; Quality Standards, Institute of Animal Husbandry of Xinjiang Academy Animal Science (Xinjiang Breeding Sheep and Wool Cashmere Quality Safety Supervision and Inspection Center), Urumqi, China., Li J; State Key Laboratory of Genetic Engineering and Ministry of Education, Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.; Human Phenome Institute, Fudan University, Shanghai, China., Fu B; Institute of Intelligent Media Computing, School of Computer Science, Fudan University, Shanghai, China., Bhogal R; Unilever R&D, Bedfordshire, UK., Murray P; Unilever R&D, Bedfordshire, UK., Rowson M; Unilever R&D, Bedfordshire, UK., Li B; Institute of Intelligent Media Computing, School of Computer Science, Fudan University, Shanghai, China., Xue X; Human Phenome Institute, Fudan University, Shanghai, China.; Institute of Intelligent Media Computing, School of Computer Science, Fudan University, Shanghai, China., Gu X; Unilever R&D, Shanghai, China., Yang Y; State Key Laboratory of Genetic Engineering and Ministry of Education, Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.; Fudan-Taizhou Institute of Health Sciences, Taizhou, China., Jin L; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China.; State Key Laboratory of Genetic Engineering and Ministry of Education, Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.; Human Phenome Institute, Fudan University, Shanghai, China., Gunn DA; Unilever R&D, Bedfordshire, UK., Wang S; CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, China.; Human Phenome Institute, Fudan University, Shanghai, China.; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.

Publikováno v: International journal of cosmetic science [Int J Cosmet Sci] 2023 Aug; Vol. 45 (4), pp. 548-555. Date of Electronic Publication: 2023 Apr 05.