Principal Investigator: Dr Gerard Lipowski
Department: AIST Tsukuba, Human Technology Research Institute
AIST Tsukuba, Human Technology Research Institute, 1-1-1 Higashi, Central 6,
Tsukuba, Ibaraki, 305-8561, Japan
We wish to develop a computational method for personalized risk prediction
of diabetes (both prevalent and incident disease) and its evolution over time,
in relation to other available health outcomes and life conditions. This project
requires data only (not samples) including baseline data on lifestyle factors
(e.g. related to nutrition, sleep, mental condition, physical activity including
cardiorespiratory fitness, etc.), genetic data (when available) as well as
longitudinal follow-up data on the health outcomes (incidence and mortality)
as and when sufficient data are available.
The first phase of the project will be exploratory in nature and will be
quantifying associations between all available physiological, mental, lifestyle,
dietary, environmental, socioeconomic (& genetic and biomarkers data when
available) and select the variables, which alone or in combinations, most
significantly predict incidence and evolution of diabetes outcomes.
Confirmation of known associations will be used as control for our methodology. Then, we will analyse which variables contribute most for the
risk and outcomes differences between individuals. Depending on the
availability of the reassessment data, we will attempt to explore the causality
by analysing the time of occurrence of various changes in life style and of
Finally, the significant associations will be used for personalized prediction of
risk factors and protective factors for diabetes outcomes. We expect our
methodology to be applicable for prediction of other health outcomes, which
will be subject to submission and approval of further applications.
Our results will contribute to the development of personalized prevention and
diagnostics of chronic diseases, and will benefit the society by providing
knowledge for more informed choices for healthy lifestyle.