Last few years have seen advancement in technology which has opened up flood gates to revisit how we measure our health. This has transformed the methods of collecting healthcare delivery data & point of care diagnostics with usage of Wearables- Smart rings, smart watches & CGM However are the healthcare delivery data & plasma level indications really solving healthcare problems? Some facts 1)Globally,41 million people die of chronic diseases every year 2)55 million+ people suffer from dementia worldwide 3)Global incidence of Non- Alcoholic Fatty Liver Disease(NAFLD) is 47 for every 1000 people 4)100 million plus Indians are either prediabetic or suffering from type 2 diabetes 5)13% of Indian population have high risk of cancer 6)10% of Indian population suffers from chronic kidney disease; Renal failure is detected at a late stage & most of the patients end up in dialysis with no curative solution 7)Diseases such as NAFLD, Oral & Throat Cancer & Dementia are hard to detect & the list goes on Still these new age technologies in the name of AI & ML are just helping us manage the symptoms of chronic diseases not finding or identifying asymptomatic signatures predictive of chronic diseases & biggest thing these models have missed out tracking 99% of biology AI/ML is a system & we need to feed the right set of data sets to draw meaningful outcomes that could help us understand the pathogenic process involved in onset & progression of chronic diseases. We need to focus not on plasma level biomarkers & DNA but on downstream functions via RNA & Metabolites We need to collect a lot of molecular & biological data sets & apply AI/ML tools to deep dive on what is happening at molecular level & changes in chemistry before & during disease onset. This could help us identify molecular indications which are invisible & cannot be identified by POC diagnostics/Wearables & compute interventions to kill these molecules so that disease does not even develop in the first place. Today we unveiled what data sets should be collected & analysed to eradicate epidemic of chronic diseases.

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