What we do
Build PHP database: From patient care centers of Max Healthcare. Data consists of health screening data including standard biochemical assays and associated clinical metadata
Identify subjects for deeper studies: A random sample and extreme contrasting phenotypes e.g. older obese subjects in good cardiometabolic health and younger lean subjects with cardiometabolic disease would be selected for further investigations (prospective arm) including dietary questionnaires, health apps for dietary assessments and recommendations, gut health markers, gut microbiome studies, and genomics.
Computational Biomedicine: Apply appropriate statistical machine learning, network biology & computational genomics approaches to gain insight from the PHP database (clinical parameters, dietary habits, gut-microbiome profiles and genomics)
Translation: Develop an understanding of whether modifiable gut health interventions can change cardiometabolic risk
Outreach: Collaborate to communicate the findings effectively with clinicians, policy makers and citizens in a palatable, innovative format