Challenge: Time-Series Data Analysis Technology in Biology

NineSigma, representing a major Japanese food company, seeks a potential partner(s) for joint development of a time-series data analysis technology in biology.

Cardiac signal. Image credit: romnyyepez via Pixabay, free license
So far, the client has established a technology to determine “what nutrients the human body needs and when it needs them,” based on time-series data on the levels of metabolites (primarily, nutrients) in the body. This is expected to serve as a core technology for health and nutrition management, which helps create new functional ingredients and determine appropriate intake time based on human metabolic data in order to manage daily health conditions and treat lifestyle diseases.
While the client intends to complete the development of a prototype of the anticipated technology by the end of this fiscal year, problems remain in data analysis programs which need to be fixed in order to improve the prediction accuracy to be sufficiently high. Advanced techniques and skills are required to develop time-series data analysis programs which take biological requirements into account and have no mentioned problems.
Submmisions to this Challenge must be received by April 7, 2022.
Source: NineSights
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