InterVenn Investigator Initiated Research Program in Glycoproteomics

Artificial Intelligence

LC–MS based assays generate tremendous amounts of information—even more so at the resolution, throughput, and sensitivity at which InterVenn operates. Traditional biostatistical tools are unable to fully interrogate the data sets we generate, hence the need for advanced computational methods.

We utilize deep learning in many key areas, including signal detection, verification, and quantification; quality system monitoring; and risk stratification.