Level 42 AI jobs and careers

About Level 42 AI

Silicon Valley startup, Level 42 AI, Inc’s software-defined hardware captures and synchronizes traditionally discarded or unobserved multi-modal data streams to predict and quantify health state, from short 5-to-30 second data snippets, similar in principle to the music identification Shazam app. UNMET NEED: In addition to the ‘classic‘ COVID-19 illness, COVID-19-associated multi-system inflammatory syndrome in children (MIS-C) has recently emerged as a complicated and potentially fatal outcome resulting in school and workplace closures. The world needs a fast, accurate, non-invasive, affordable mass screening test for COVID-19; such a test should safely manage entry to workplaces, airplanes, schools, stadiums, theaters, mass transit center, ports-of-entry, malls and restaurants. Level 42 AI, Inc is conducting clinical studies to discover and validate COVID-19 biosignatures with Johns Hopkins School of Medicine (JHM) and University of California-San Francisco (UCSF). The mass screening technology has the potential to detect and screen individuals and patients with COVID-19 remotely, from a distance, using non-invasive, non-intrusive, and non-contact technology. Accurate and rapid COVID-19 mass screening is complementary to vaccine development and deployment. Level 42 AI, Inc’s COVID-19 biosignature is an AI algorithm that deploys state-of-the-art, proprietary domain-adaptable machine learning techniques to elucidate and differentiate early cellular and tissue mechano-transduction changes and the body's immune response to SARS-CoV-2 infection. By combining and analyzing multiple synchronized data streams, Level 42 AI, Inc aims to unveil robust and distinct biosignatures for actionable insights on the symptoms and onset of COVID-19, MIS-C, asthma, COPD, cystic fibrosis, TB, pulmonary arterial hypertension, acute respiratory distress syndrome, carotid artery disease, coronary artery disease, congestive heart failure, pain, depression, more

Founded in 2019 by Peter Rexelius, Shasha Jumbe and Steve Krawczyk.