Published on in Vol 2 (2023)

1 Actxa Pte Ltd, Singapore, Singapore
2 Activate Interactive Pte Ltd, Singapore, Singapore
3 Curtin Health Innovation Research Institute, Curtin University, Perth, Australia
4 Faculty of Health Sciences, Curtin University, Perth, Australia
5 Duke-NUS Graduate Medical School, National University of Singapore, Singapore, Singapore
6 KK Women’s and Children’s Hospital, Singapore, Singapore
7 Innovation and Design Programme, Faculty of Engineering, National University of Singapore, Singapore, Singapore
8 Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
9 Family Medicine Academic Clinical Program, Duke-NUS Medical School, Singapore, Singapore
10 Menopause Unit, KK Women’s and Children’s Hospital, Singapore, Singapore