Case Study  ·  Technology Scouting

Speeding up antimicrobial testing directly from blood.

A global medical technology company wanted to find rapid antimicrobial susceptibility testing (AST) technologies that could shorten the time to identify a bacterial infection. We mapped the field and found an open niche for a new product.

The Client

The client is a global medical technology company looking for faster ways to determine the type of bacterial infection. It wanted rapid AST solutions that work directly from blood, on the market or close to it, and emerging ideas from academic labs.

The Challenge

Map the tests.
Find the opening.

Prescouter was asked to map rapid direct-from-blood AST technologies that were commercialized or close to commercialization, and to identify emerging technologies from academic research labs.

  • Commercial

    Platforms on the market

    Rapid AST systems sold today or close to launch.

  • Academic

    Emerging lab methods

    New approaches from university research groups.

  • AI and ML

    Predicting resistance

    Models that find resistance genes in genome data.

Our Approach

Mapping rapid AST through data, feedback, and AI research.

Technology map
13AST technologies mapped

Sort the field

We evaluated platform features and classified them into three types.

Solution scouting
10solutions highlighted

Look in the labs

We found two solutions from industry and eight from academic research groups.

Platform profiles
48rapid AST platforms

Profile the market

We profiled platforms and looked at AI and ML methods to predict antibiotic resistance genes.

The Outcome

An open niche for a new rapid AST product.

Prescouter profiled 48 rapid AST platforms and found that only a few focused on direct-from-blood testing, with little documented evidence of their species and antibiotic coverage. This gap presented a niche where the client could enter the space with a new rapid AST product.

  • Niche

    Direct-from-blood testing

    Few platforms serve it today.

  • Evidence

    Coverage gaps

    Little proof of species and antibiotic coverage.

  • Future

    AI-based prediction

    Resistance genes from whole genome sequencing data.

Every hour counts when a patient has a blood infection. Knowing where current tests fall short shows where a new product can help.

Let’s Talk

Where is the gap in your diagnostics market?

Map commercial and academic technologies and find the niche your next product can fill. Wherever you’re starting from, we’ll help you get there.

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