Premature or Small for Gestational Age Discrimination: International Multicenter Trial Protocol for Classification of the Low-Birth-Weight Newborn Through the Optical Properties of the Skin.

Autor: Reis Z; Faculty of Medicine, Universidade Federal de Minas Gerais, Brazil, Belo Horizonte, Brazil., Vitral G; Faculty of Medicine, Universidade Federal de Minas Gerais, Brazil, Belo Horizonte, Brazil., Guimarães R; Faculty of Medicine, Universidade Federal de Minas Gerais, Brazil, Belo Horizonte, Brazil., Gaspar J; Faculty of Medicine, Universidade Federal de Minas Gerais, Brazil, Belo Horizonte, Brazil., Colosimo E; Statistics Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Taunde S; Hospital Central de Maputo, Maputo, Mozambique., Mussagy N; Hospital Central de Maputo, Maputo, Mozambique., Rosado Santos R; Faculty of Medicine, Universidade de Lisboa, Lisbon, Portugal., Ayres-De-Campos D; Faculty of Medicine, Universidade de Lisboa, Lisbon, Portugal., Romanelli R; Faculty of Medicine, Universidade Federal de Minas Gerais, Brazil, Belo Horizonte, Brazil.

Publikováno v: JMIR research protocols [JMIR Res Protoc] 2020 Jul 14; Vol. 9 (7), pp. e16477. Date of Electronic Publication: 2020 Jul 14.

复发性子宫内膜异位症的诊治新进展.

Autor: 张琪¹, 倪妍¹ ny2081916@163.com

Publikováno v: Journal of International Obstetrics & Gynecology. Feb2023, Vol. 50 Issue 1, p98-108. 5p.

Breast Self-Examination Knowledge and its Determinants among Female Students at Addis Ababa University, Ethiopia: An Institution-Based Cross-Sectional Study.

Autor: Getu, Mikiyas Amare¹ (AUTHOR), Abebe, Mesfin² (AUTHOR), Tlaye, Kenean Getaneh¹ (AUTHOR), Goshu, Abel Tibebu³ (AUTHOR)

Publikováno v: BioMed Research International. 5/30/2022, p1-9. 9p.

Skin thickness dimensions in histological section measurement during late‐fetal and neonatal developmental period: A systematic review.

Autor: de‐Souza, Ingrid Michelle Fonseca¹, Vitral, Gabriela Luiza Nogueira², Reis, Zilma Silveira Nogueira¹ zilma.medicina@gmail.com

Publikováno v: Skin Research & Technology. Nov2019, Vol. 25 Issue 6, p793-800. 8p. 1 Diagram, 1 Chart.

Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom images.

Autor: Yuan Y; Advanced Innovation in Micro/Nanoengineering (AIM) Laboratory, Department of Biomedical Engineering, National University of Singapore, Singapore, 119276, Singapore.; N.1 Institute for Health, National University of Singapore, Singapore, 119276, Singapore., Huang J; Advanced Innovation in Micro/Nanoengineering (AIM) Laboratory, Department of Biomedical Engineering, National University of Singapore, Singapore, 119276, Singapore., Yu J; Advanced Innovation in Micro/Nanoengineering (AIM) Laboratory, Department of Biomedical Engineering, National University of Singapore, Singapore, 119276, Singapore.; College of Biomedical Engineering and Instrument, Zhejiang University, Hangzhou, 310027, China., Tan JKS; Advanced Innovation in Micro/Nanoengineering (AIM) Laboratory, Department of Biomedical Engineering, National University of Singapore, Singapore, 119276, Singapore.; N.1 Institute for Health, National University of Singapore, Singapore, 119276, Singapore., Chng KZ; AI Singapore, Singapore, 117602, Singapore., Lee J; Department of Neonatology, National University Health System, Singapore, 119228, Singapore.; Department of Paediatrics, National University of Singapore, Singapore, 119228, Singapore., Kim S; Advanced Innovation in Micro/Nanoengineering (AIM) Laboratory, Department of Biomedical Engineering, National University of Singapore, Singapore, 119276, Singapore. bieks@nus.edu.sg.; N.1 Institute for Health, National University of Singapore, Singapore, 119276, Singapore. bieks@nus.edu.sg.

Publikováno v: Scientific reports [Sci Rep] 2024 Mar 12; Vol. 14 (1), pp. 5952. Date of Electronic Publication: 2024 Mar 12.