Influenza is a major drain on the US economy. Antiviral drugs are most effective against influenza when taken early, often before patients seek medical help. Tests exist for influenza but are only effective when influenza titer is high and/or require sophisticated medical equipment. Here we will build off of methods we are combining and developing for the specific detection of barcoded microorganisms (a DARPA funded project) to develop and optimize a quantitative, cheap, rapid, sensitive, selective, and field-deployable method for detecting influenza. We aim to develop this influenza detection system into an affordable ‘at-home’ system allowing individuals to detect influenza early, thereby increasing the efficacy of antiviral drugs and eliminating unnecessary trips to the ER.

Funding

Funding level

Development

People

Principal Investigator

Michael Springer

PhD
Associate Professor of Systems Biology, Harvard Medical School
Co-PI

Sarah Boswell

PhD
Research Associate in Therapeutic Science, Harvard Medical School

Zhixiang Lu

PhD
Research Associate in Therapeutic Science, Harvard Medical School

Jason Qian

Research Assistant Graduate Student in Systems Biology, Harvard Medical School