ONITO is in deep thought on how to reinvent healthcare for better patient outcomes. The need of the hour is a mathematical model insuring the duration of human life. ONITO experimented with machine learning-assisted doctors and privacy-preserving healthcare analysis. We had a dream of bot doctors to alleviate the global shortage of doctors. We're experimenting with projects to chart a viable path toward that vision. We may never get there, because human life may be fundamentally unquantifiable. Healing a human may just need the human touch. Still, we strive.
ONITO's STDinfo secure computation protocol prevents healthcare data breaches by keeping no unencrypted data on healthcare servers.
ONITO builds medical data infrastructure to help doctors. Our web application implements a view for predictive modeling of COVID-19 lung damage, pneumonia and cardiac arrhythmia. We implemented STDinfo to maintain privacy of medical data. STDinfo is a Python script using secure multiparty computation. ONITO makes medical inferences without reading raw medical data. In 2024, this was tested in checking whether 2 individuals are sexually compatible using their sexually transmitted diseases (STDs) medical test reports. Reports are not shared between parties nor with ONITO due to STDinfo.
Patient data in ONITO are fed into a pipeline of machine learning models to give disease predictions to doctors. A view of the machine learning pipeline with a backend capable of storing electronic health records was built by ONITO.