Biotrillion

every year, trillions of dollars are ineffectively spent in healthcare and trillions of life data points are ineffectively connected to our health. there must be a better way. we are developing a health technology platform called bioengine4d – to digitally detect developing diseases, powered by computational deep learning and artificial intelligence, and fueled by lifedata. diseases and their expressions are interconnected. most diseases are expressed via subtle and intermittent signals (later known as symptoms). many of these expressions can be digitally captured as lifedata: sensor-measured information generated from life and around life. health diagnostics have traditionally relied on infrequent and intermittent observations of disease signals, despite us living 99% of our time outside of a health setting. today, lifedata that is objectively, passively, and continuously generated by the sensors in our smart devices can be re-purposed to unlock the powerful dimension of time to much