Diana Hoogeboom, former obesity researcher
To develop an individual approach for obesity, one needs new diagnostic tools to subtype obese subjects at a more detailed level than currently done by health care professionals. ATIA’s goal is to develop diagnostic tools for subtyping obese individuals by producing and combining fundamental discoveries in the field of biomedical - and neuropsychological research. ATIA uses artificial intelligence technologies in order to pinpoint the most effective “personalized” therapy.
ATIA is using methodologies that range from cluster and classification analysis to neural networks, learning paradigms used for analysis and exploration of existing databases. ATIA is also performing prospective longitudinal studies on obese individuals to test specific hypothesis within the research framework as described above. Atia’s research on obesity is focused on subtyping the group of obese people. Atia’s partner in this scientific research is the Obesitaspoli from the MC Zuiderzee hospital in Lelystad.
Are you a patient at the Obesitaspoli and interested in participating in this scientific research programme? Please consult your doctor at the Obesitaspoli or firstname.lastname@example.org. For more information, please click here.
In its research, ATIA departs from the differences that individuals show on their general motivational and emotional behavior and attitudes, such as:
Motivation to eat
Timing of meals
These factors are all influenced by motivational and emotional states, rooted in distinct personality traits. However, the underlying mechanisms that determine and regulate eating behavior and motivation in this context are poorly understood.
It is largely unknown how the involved metabolic and neural processes interact with external environmental signals and cause over-eating. ATIA aims to obtain more insight in these interactions to explain overeating and the subsequent development of obesity. These insights will ultimately contribute to the development of more custom-tailored treatment strategies.