Case Studies

Anti-biotic Susceptibility

Technologies

Modelway DVS®

Client’s Need

The client needs a solution capable of quickly determining whether bacteria are resistant or susceptible to a specific antibiotic. At the same time, the system must be able to manage large volumes of data efficiently, handling complex Big Data arrays without compromising performance. A high level of algorithmic sensitivity is also essential to ensure reliable detection and support accurate interpretation of results.

Approach

Development of a Virtual Sensing Machine Learning algorithm , capable to better separate signal from noise. By data acquired, an automatic tool, trains a machine learning algorithm, capable to estimate the vitality level of bacteria.

Main Outcomes

Real time AI Classification algorithm for bacteria character based on nano-motion of fast and slow growing bacteria.
Intensive data mining and feature extraction through signal filtering and processing.
Fast tool adaptability and customization to bacteria and antibiotic variants.