Using genome sequencing & machine learning to modernize infectious disease diagnosis and treatment

Antibiotic resistance is creating a public health crisis. Patients with a severe infection can die within hours, but current diagnostics for antibiotic resistance can take 2-5 days or never return a result at all. At DZD, we are developing a rapid, whole genome sequencing-based diagnostic that identifies the species and antibiotic resistance profile of a bacterial infection within hours. Our machine learning algorithm Keynome™ uses MicrohmDB®, a proprietary microbial resistance database, to determine antibiotic resistance from genomic data. In a severe infection, faster treatment with the right antibiotic saves lives and reduces costs.

We are based at the Harvard Life Lab and have a strong collaboration with the lab of Dr. Doug Kwon at the Ragon Institute of MGH, MIT and Harvard.