OpGen Subsidiary Ares Genetics Launches AREScloud
- AREScloud is a new, commercial web application aimed at accelerating the analysis of sequenced clinical isolates
- AREScloud offers an advanced solution for infection prevention and control
Outbreaks of antimicrobial resistant pathogens are a major threat to human health and are a burden to healthcare systems worldwide. To curb the AMR pandemic, effective AMR surveillance and diagnostics are required for infection prevention and better-informed selection of appropriate first- and second-line treatment options.
Leading global health organizations have acknowledged the importance of whole genome sequencing (WGS) of bacterial isolates for effective surveillance and infection prevention and control (IPC). In its 2020 report, the
"The advantage of WGS over other molecular tests such as PCR resides in the technique’s potential to provide in a single assay sensitive and precise information on pathogen identity along with information on AMR and virulence," says Dr.
AREScloud is designed to help clinical microbiologists, epidemiologists and IPC experts overcome this challenge. The software fully automates data processing - from raw sequence data to report - and offers insights into epidemiologically and etiologically relevant information including pathogen identity, genotype, virulence, plasmids, and AMR. In addition to generating individual sample reports, the AREScloud version that has now been commercially released for the first time introduces unique features for comparative and outbreak analysis.
Under a simple subscription model users can benefit from access to ARESdb, a leading proprietary knowledgebase which contains comprehensive information on genetic and mutational AMR markers as well as advanced machine-learning models for the prediction of antibiograms directly from genomic data.
The performance of AREScloud bioinformatics pipelines for isolate WGS has been validated in several clinical studies. Studies from 20202 and 20213 demonstrate the pipelines' accuracy and reproducibility for different sequencing platforms, offering users flexibility to choose between widely available Illumina short read data or Oxford Nanopore Technology long read data, an option increasingly adopted for infectious disease applications due to its potential for rapid turn-around times. A multicenter validation study4 from 2020 demonstrates the analytical performance of predicting antibiograms from genomic data (also referred to as predictive antimicrobial susceptibility testing or pAST).
To demonstrate the clinical utility of the AREScloud web application and help identify further areas for optimization in the future, Ares Genetics is actively engaged in discussions with clinical expert users and is collaborating with two major
For more information, please visit www.opgen.com.
This press release includes statements regarding the commercial launch of AREScloud, a web application aimed at accelerating the analysis of sequenced clinical isolates. These statements and other statements regarding OpGen’s future plans and goals constitute "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 and are intended to qualify for the safe harbor from liability established by the Private Securities Litigation Reform Act of 1995. Such statements are subject to risks and uncertainties that are often difficult to predict, are beyond our control, and which may cause results to differ materially from expectations. Factors that could cause our results to differ materially from those described include, but are not limited to, our ability to successfully, timely and cost-effectively develop, seek and obtain regulatory clearance for and commercialize our product and services offerings, the rate of adoption of our products and services by hospitals and other healthcare providers, the fact that we may not effectively use proceeds from our financings, the realization of expected benefits of our business combination transaction with
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