DAISy-PCOS is an acronym for: Dissecting Androgen excess and metabolic dysfunction – an Integrated SYstems approach to PolyCystic Ovary Syndrome.
DAISy-PCOS is a new research study which examines the metabolic nature of PolyCystic Ovary Syndrome (PCOS) and its links to other health conditions. On this site you can find out more about PCOS, as well as explore this research project and our public engagement activities further – including how you can get involved.
Thank you for your interest & please do take a good look around!
We are now actively recruiting for DAISy-PCOS study with centres in Birmingham and several other cities in the UK and Ireland. DAISy-PCOS is a research study that investigates how male hormones contribute to the increased risk of metabolic disease in PCOS – more here: https://daisypcos.com.
If you have confirmed or suspected PCOS and interested to take part in the study, please email daisy-pcos@contacts.bham.ac.uk – many thanks!
Latest from the DAISy-PCOS Blog
IWD2021: PCOS at the Intersections
The DAISy-PCOS Leadership team are involved with two events for International Women’s Day. PCOS at the Intersections will ask: Does race impact the way we experience PCOS? Do Women of Colour feel represented within the healthcare or advocacy space? About this Event Our understanding of PCOS is very limited, whether that be medically, or in … Continue reading IWD2021: PCOS at the Intersections
IWD2021: Our Health Matters, Period.
To mark International Women’s Day 2021, join women involved in the DAISy-PCOS Leadership Programme for an online community-led panel discussion focused on inequity in women’s healthcare. Using Polycystic Ovary Syndrome (PCOS) as a case study on which to frame this broader discussion, these women will lead the event and share their personal experiences to highlight how … Continue reading IWD2021: Our Health Matters, Period.
DAISy-PCOS PhD Studentship Opportunity in Machine Learning / Computer Science
The DAISy-PCOS team have a new PhD studentship opportunity in Machine Learning / Computer Science available, supervised by DAISy-PCOS Principle Investigator Professor Wiebke Arlt from the Institute of Metabolism & Systems Research and Professor Peter Tino from the School of Computer Science Project title: Integrated machine learning approaches to dissect the link between androgen excess and … Continue reading DAISy-PCOS PhD Studentship Opportunity in Machine Learning / Computer Science
