Current healthcare system lacks effective diagnostic tools to discover molecular signatures underlying chronic diseases & cancer at an early stage & delivers ineffective treatments, resulting in late diagnosis, adverse health outcomes & low survival rates.
What if we could identify these hard to detect signatures & eliminate them by precision medicine so that disease does not even exist?
Our biochemistry + mathematics platform collects, analyzes & interprets molecular data to discover pre-disease molecular signatures for metabolic diseases & cancer & eliminate them using precision therapeutics.
Our machine learnt model can predict the insulin response to 300 foods plus foods.
Our oral cancer early detect test measures molecular mechanisms preceding tumour development & construct nutritional therapeutics to eliminate carcinogenic & mutagenic molecules before cancer manifests. The test also caters to preventive recurrence for patients already in an advanced stage of disease.
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