How can clinical trial participants be prevented from recording information inaccurately? One solution for pharmaceutical giant Eli Lilly and Company comes in the form of a smart toilet that detects when – and for how long – a person is using it, saving him the trouble of logging...
How can clinical trial participants be prevented from recording information inaccurately? One solution for pharmaceutical giant Eli Lilly and Company comes in the form of a smart toilet that detects when – and for how long – a person is using it, saving him the trouble of logging the information himself.
The loo has pressure sensors to log how long a test participant is seated – one of many forms of data collected that helps researchers understand the effects of the medication they are testing. The centre has 49 beds for medical trials, which often require participants to stay overnight at a facility, allowing researchers to monitor patterns like sleep and bathroom use.Among the innovations is an artificial intelligence model developed by Lilly called Magnol.AI, a cloud platform that collects data from wearables and sensors used by test participants. The program helps researchers crunch massive amounts of data collected into simple charts for them to analyse.
The centre will also specialise in digital circadian rhythm research – the study of how people’s daily patterns like sleep cycles are affected by medication and other factors.
MEDICAL TECHNOLOGY SECTOR TECHNOLOGY SECTOR
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