Technology
Diagnosis Technology (SW&DB)Technology - DB (Database)
Process of Microorganism Identification
Database Technology
NOSQUEST’s diagnostic system uses the Cloud Platform technology to accurately and rapidly identify unknown sample through pattern matching with pre-established Database to result what the disease is.
Our Database-based diagnostic system has massive expandability as data collected so that it can provide precise results via specific pattern analysis. Furthermore, the system has overcome existing technical drawbacks, such as a lack of accuracy, particularity, and consistency.
Feature1 Statistical Analysis of Database
When statistically analyzing for diagnosis of diseases, the DB system optimizes the distance between inter(species)/intra(strain) to make microorganism to cluster at Species Level. Besides, it verifies the streams of connectivity among species with Phylogenetic Tree structure. It hereby realizes the most advanced machine learning-based scientific data statistical analysis as taking a step forward compared with existing methods like Heatmap, ROC, PCA, Cut-Off method, and Random Forest.
Feature2 Database Matching
NOSQUEST's Database utilizes the machine learning-based AI algorithm to convert the spectrum profiles to the pattern so that it makes a reliable result with Reference Signature and the pre-established Database.
Our Database enables to make an expandable and efficient diagnosis as accumulating algorithm signature converting from biological marker, which is differently formed at each stage of disease.
Feature3 Database Type
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CoreDB
(Microorganism DB) -
MycoDB
(Tuberculosis DB) -
FungiDB
(Filamentous fungi DB) -
VetDB
(Animal infectious disease DB)
Technology – SW (Software)
Software Technology
NOSQUEST software technology is to analyze the spectrum pattern of a sample from MALDI-TOF with its pre-established Database through a statistic algorithm and an analysis quantification. Notably, it is accompanied by the Deep Learning technology to improve intelligence and accuracy itself so that users quickly get an identical result with advanced usability.
Software Technology Feature
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Accurate & Reliable ID
99% accuracy in clinical evaluation
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Quick analysis
Less than 100 samples / 1hr
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Accurate & Reliable ID
Automatic & High capacity
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Application
For clinic, veterinary, food, environment, etc.
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Active DB Update
Now 2600 species available & Customized DB can be designed