The HIV genotypic drug resistance algorithm within SmartGene for Stanford HIVDB has been updated. 

We’re happy to share a new publication from our collaborators at the Laboratory of Microbiology of the University of Neuchâtel. The article highlights the effectiveness of SmartGene's Centroid-based approach in combating food fraud.

Food fraud is a big challenge in the food industry, and morel mushrooms are no exception. Traditional methods to identify true morels often lack accuracy. Using SmartGene's proprietary, curated reference databases, the authors achieved an impressive 83% accuracy in identifying morel species, compared to just 36% and 47% using traditional tools. 

Laboratory Accreditation: Ensuring Quality and Competence in Testing

Dr Coralie Kerestedjan-Pallier, Hospital Practicioner in France, who recently achieved COFRAC accreditation, attests to the effectiveness of our solution and the value of SmartGene's Customer Support Team in providing assistance and documentation for the SmartGene Apps during their recent accreditation process: