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Modelling Health Innovations: from hormones to sleep

Please be aware that this is not an accessible venue. The event is on the ground floor with one small step at the entrance to the pub with no ramp. The toilets are not accessible.
Past event - 2024
15 May Doors open 6:30pm
Event 7pm to 9pm
The Eldon House, 6 Lower Clifton Hill,
Bristol BS8 1BT
Sold Out!
Get ready for tech taking over in health! Join us as we decode hormonal mysteries in women's health for personalized insights and tackle obstructive sleep apnoea. From mathematical modelling of hormonal fluctuations to machine learning for fast-track diagnosis and management of sleeping disorders.

Decoding Hormonal Health: Bridging Blood Analysis and Algorithms to Map the Menstrual Cycle

Sarah Bolt (CEO & Founder, Forth)
Despite significant progress in medical science, many aspects of women's health remain poorly understood leaving women struggling for answers. Female hormones follow a unique, intricate pattern that varies for each woman. However, single-day blood tests offer limited insight into these hormonal fluctuations. MyFORM® revolutionizes this approach by integrating blood analysis with mathematical modelling, to provide a comprehensive view of how hormones change across an individual’s menstrual cycle.
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Exploring Sleep's Mysteries: Leveraging Machine Learning for Detection of Obstructive Sleep Apnoea

Abdelrahman Otify (PhD Student)
Obstructive sleep apnoea (OSA) is the collapse of the airway. It affects 1 billion people according to a paper published in 2019. OSA gets diagnosed using polysomnography (PSG) which monitors physiological signals. PSG can be delayed especially after the pandemic. Alternatives need to be sought to speed up the diagnosis and subsequently receive OSA management. Abdelrahman Otify is collaborating with a researcher in India, the country ranking 4th in terms of the number of affected individuals. Machine learning is used to mitigate the downsides of PSG and to reduce the strain on healthcare systems.
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