NanoInnovations is structured around R&D and tackling achievement of in-use condition of smart nanosensors -- in conjunction with Machine Learning -- for healthcare analytics. The companyâs platform technology has been used on bio-fluids such as sweat and saliva for prognostics and diagnostics of diabetes, heart failure, and infectious diseases. A particular focus of this NSF funded SBIR is development of an effective algorithm and understanding algorithm efficacy and reliability in prediction and classification of outcomes for COVID-19 patients. Ggoals of the pilot are identifed as (i) obtaining COVID-19 patient bio-fluid samples, and (ii) developing machine learning techniques for an effective predictive algorithm. Multiple machine learning techniques and comparison strategies will be used for algorithm development and efficacy testin
