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 Duration

July 1, 2018 - June 30, 2019

Funding level

Pilot

People

Principal Investigator

Michael Springer

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

Michael Baym

PhD
Assistant Professor of Biomedical Informatics, Harvard Medical School

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

Intellectual Property

Publications

Patents

WO2021195023
:
Enhancement of RT-RPA reaction by the addition of RNaseH
(Abandoned)
WO2021202158
:
Development of an inexpensive at-home influenza
(Abandoned)

Follow on Funding and Exits

New Company/VC

Industry Sponsored Research

Federal/Foundations Funding

Federal/Foundations Funding