Introduction
As part of the Turing's Clinical AI Interest Group, we have formed supra-interest groups in different clinical specialties to bring together clinicians and AI experts in a more focused manner.
The current supra-interest groups are:
- Anaesthetics and Intensive Care
- Medical imaging and computer vision
- AI for Women's Health
This event is the second meeting of the AI for Women's Health Group. This group is being lead by Bianca Schor with additional help from the organisers of the Clinical AI Interest Group.
The AI for women's health group is an interdisciplinary community (e.g. clinicians, academics, data scientists, designers, health care professionals, students etc) interested in advancing women's health and how to leverage AI to do so.
The groups goals include:
- Building an interdisciplinary and diverse community of individuals working or interested to work in women's health with (or without) AI
- Bringing visibility to research on women's health and how AI can help to do so
- Facilitating collaborations and bringing more people to the field
Offering relevant events & trainings, and sharing resources with the community (mostly online for now)
About the event
This is the second meeting of the AI for Women's Health Group.
In this meeting, we will have two talks:
- Michelle Oyen and Adrienne Scott from the Centre for Women's Health Engineering, Washington University, who are speaking about 'Digital twins and Machine Learning in Pregnancy Research'.
- Sarah Homewood from the Department of Computer Science, University of Copenhagen, who will talk about 'Designing With Menstrual Cycle Data'.
There will also be time for a question and answer session at the end.
Agenda
| Time | Activity | Speaker |
| 13:30 - 13:40 | Introduction by group organiser | Bianca Schor |
| 13:40 - 14:00 | Digital twins and Machine Learning in Pregnancy Research | Michelle Oyen and Adrienne Scott |
| 14:00 - 14:20 | Designing With Menstrual Cycle Data | Sarah Homewood |
| 14:20 - 14:30 | Questions and close |
Register now
Please register for this meeting using this link: https://turing-uk.zoom.us/meeting/register/tJUpcu2rqTgiG9G-wvjLG8h9UnlVSnVWIMKs