OxDX raises £2.6M pre-seed funding

OxDX, the University of Oxford, is developing instant tests for pathogens using ultra-high resolution microscopy and machine learning, has raised £ 2.6 million in pre-funding for its artificial intelligence-based diagnostic technology that can recognize and identify viruses.1.2, bacteria and other pathogens within a sample in seconds. The initial funding is co-sponsored with IQ Capital and Ahren Innovation Capital with Science Creates Ventures and will be used to expand the team and further test the technology with development partners.

OxDX technology uses a new universal labeling technology combined with neural network machine learning analysis to identify specific pathogens that cause infection in just a few seconds. The team demonstrated the ability to identify respiratory viruses in clinical specimens and, in the case of COVID-19 and influenza viruses, to directly identify the strain. The company is committed to developing a high-speed analytical platform capable of rapidly scaling up multiple diseases with simple software updates that improve cost and access to diagnosing infectious diseases worldwide.

«Our ability to sample a person with an unknown infection and answer the open question “what do they have?” for a minute is a variable way to diagnose and treat infections. We’ll start with respiratory viruses and then deploy. In parallel, we will simplify the workflow to move the test from the lab to the point of care, which will significantly change the availability and cost of diagnosing infectious diseases worldwide.

Alex Batchelor, CEO of OxDX

Ed Stacey, managing partner at IQ Capital Partners, added: «The potential of OxDX technology to detect disease “while you wait” and deploy tests for new pathogens using just software updates will revolutionize the diagnosis and treatment of patients. This incredible team has already reached a huge number, and I look forward to the impact they have on the diagnosis of infectious diseases. ”

«We look forward to working with the OxDX team to reach the full potential of their technologies, working at the intersection of machine learning and microscopy, applied to diagnostics. This type of transformational technology can have a huge positive impact on the world».

Dr. Joanna Green, Director of Ahren Innovation Capital

Sources:

  1. “Detection and identification of viruses in minutes using one-part visualization and deep learning”, medRxiv https://www.medrxiv.org/content/10.1101/2020.10.13.20212035v3
  2. “Rapid functionalization and detection of viruses through the new Ca 2 + -mediated virus-DNA interaction”, Scientific Reports Nature Research https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838052/

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