Demonstrating the power of preventive health
View our latest scientific publications and see the research we’re working on.
Development and validation of decision rules models to stratify coronary artery disease, diabetes, and hypertension risk in preventive care: cohort study of returning UK Biobank participants.
A common problem across the healthcare industry is that patient risk prediction models fail to distinguish between clinical risk – which requires medical or pharmacological interventions – and pre-clinical risk, for which lifestyle interventions are most effective.
In this study, we demonstrated that Ancora’s methodology outperforms commonly used clinical risk models among 60,782 UK Biobank participants.
Authors: Castela Forte J, Folkertsma P, Gannamani R, et al.
Polygenic risk scores for preventive health
In this study, we apply our unique polygenic risk score algorithms to develop several risk prediction models including and excluding these additional variables using UK Biobank data. When validating these models in both the UK Biobank as well as the Lifelines cohort, we show that these models vastly outperform predictions based on genetic risk alone, and that polygenic risk is far more meaningful for lifestyle conditions when in conjunction with other variables.
Benefit of digital, preventive interventions to improve blood cholesterol levels
In this research paper, we analyze aggregate data from participants enrolled in one of our preventive health programs to study the association between lifestyle changes and improvements in lipid levels. In the participants who did a remeasurement after the completion of the program, lipid levels improved over time, including in participants who crossed clinical thresholds.
Collaborations with partners
Type 2 diabetes remission
Diabetyping for personalized diabetes reversal
Type 2 diabetes has multiple causes. Therefore, different patients benefit from different types of interventions. Together with TNO and primary and secondary care facilities in the Hague and Eindhoven, we are studying how to optimize subtyping-based treatment approaches in the context of personalised diabetes lifestyle interventions.
Diabetes in northern Netherlands
Diabetes reversal through lifestyle
Together with Healthy Ageing Network Noord Nederland and UMCG Groningen, we are studying how to enable blended care for diabetic patients in the region by integrating nutrition, activity, sleep, and mindfulness data with smart health data such as glucose monitoring.
Artificial intelligence (AI)
AI-powered preventive health and behavioral change
As a member of the Netherlands AI Coalition, an association that stimulates cutting-edge technology initiatives, we participate in the Health and Healthcare Work Group. With this group, we are working together with other industry leaders to identify the most significant opportunities and challenges in the field of healthcare. We aim to be at the forefront of AI-powered health behavior change in order to empower people to own their health and achieve the benefits of lifestyle improvement.