We Take Diagnostics to the Next Level

At Ares Genetics, we develop precision diagnostics for precision medicine to improve the way infections are diagnosed and treated.

We Take Diagnostics to the Next Level

At Ares Genetics, we develop precision diagnostics for precision medicine to improve the way infections are diagnosed and treated.

Ares Genetics and Curetis are part of the OpGen group

Together we improve patient care and fight AMR through cutting edge molecular microbiology.

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OpGen

Cutting edge infectious disease molecular diagnostics to improve patient care.

Our innovative approaches to infectious disease diagnostics comprises highly multiplexed, syndromic, targeted molecular panels combined with smart bioinformatics and artificial intelligence to address the global threat of antimicrobial resistance (AMR). By integrating these capabilities, we provide solutions for the rapid diagnosis of severe infections, infection control, help improve antibiotic stewardship and enable predictive AST to transform patient care.

Ares Genetics

Next generation solutions for the global fight against AMR.

Ares Genetics is revolutionizing how we address the global challenge of antimicrobial resistance (AMR). Ares enables better infection control and more targeted patient care by providing unprecedented insight into AMR through next generation sequencing (NGS) and artificial intelligence (AI) powered solutions.

How we do it:

Our innovative AI-powered and Machine Learning (ML) driven approach leverages the extensive, curated database ARESdb to comprehensively detect and determine the genetic profile of pathogens.

Unlike conventional molecular assays, Ares Genetics solutions not only detect AMR markers but shed light on prevalence and diagnostic performance for these markers and predict how pathogens will respond to therapy.

News

16/2/2021

OpGen Subsidiary Ares Genetics Announces Publication of Study Introducing Best Practice Techniques for AI-powered AST Prediction

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9/12/2020

OpGen Announces Planned Leadership Transition at Next Generation Sequencing and Bioinformatics Subsidiary Ares Genetics

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1/12/2020

Ares Genetics Advances ares-genetics.cloud Platform, Presents Update at Scientific Conferences, Expects Granting of Key Patent

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Events

Meet the Ares Team at the following events

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Career

We are data scientists, bioinformaticians, microbiologists, pharmaceutical, diagnostic and commercial experts that share a vision for the next-generation of genomics-based infectious disease diagnostics & therapeutics.

Join us in taking infectious disease diagnostics to the next level!

Besides the openings listed below, we are regularly offering part- or full-time positions as well as PhD and master theses and welcome unsolicitated applications.

Business Development Representative (m/f/d) Full-time position

for a staff function role in unlimited full-time employment.

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Publications

At Ares, we pursue a partnership based, open-innovation approach with academic and industry partners and are committed to sharing our developments with the community.

Scientific Publications & Application Notes

Genomic and Phenotypic Analysis of Linezolid-Resistant Staphylococcus epidermidis in a Tertiary Hospital in Innsbruck, Austria

Joint Ares Genetics publication with the Medical University of Innsbruck and the Danube University Krems. In this retrospective study, we investigated genetic resistance mechanisms, sequence types (ST) and respective phenotypes of linezolid-resistant Staphylococcus epidermidis (LRSE) recovered from a cohort of patients receiving or not receiving linezolid within a tertiary hospital in Innsbruck, Austria.

Study Introducing Best Practice Techniques for AI-powered Prediction of Antibiotic Susceptibility Testing by Next-Generation Sequencing

The work led by Ares Genetics and performed in collaboration with Prof. Thomas Rattei from the Division of Computational Systems Biology at the University of Vienna critically assessed different machine learning (ML) techniques for whole genome sequencing (WGS)-based AST on several thousand genome assemblies across more than 50 species/compound combinations collated from public databases. The publication describes the combination of different machine learning architectures for robust and accurate WGS-based AST.

CLIA-compliant NGS Workflow for Pathogen ID and AMR Gene Identification

This publication demonstrates applicability of k-mer based clinical microbiology assays for whole-genome sequencing (WGS) including variant calling, taxonomic identification, bacterial typing as well as AMR marker detection. The wet-lab and dry-lab workflows were developed and validated in line with Clinical Laboratory Improvement Act (CLIA) guidelines for laboratory-developed tests (LDTs) on multi-drug resistant ESKAPE pathogens.

Fighting AMR with better Diagnostics

Have you ever wondered how rapidly resistance develops against new antibiotics? Unfortunately, very soon after their introduction into clinic. Have you ever wondered about the number of infections that cannot be treated with existing antibiotics? Luckily only very few, in fact less than 0.1%. The world is on the verge of losing antibiotics as its most powerful tool in healthcare. Read our whitepaper why new antibiotics won’t solve the antibiotic resistance crisis, but better diagnostics could.

Large-scale assessment of antimicrobial resistance marker databases for genetic phenotype prediction: a systematic review

A systematic evaluation and review of publicly available AMR marker databases for resistance prediction on clinical isolates.

Species Identification and Antibiotic Resistance Prediction by Analysis of Whole-Genome Sequence Data by Use of ARESdb

Multi-center US study demonstrating feasibility and potential of next-generation sequencing based antibiotic susceptibility prediction using ares-genetics.cloud. The study evaluated the performance of pathogen identification and antibiotic susceptibility testing based on whole genome DNA sequencing (WGS) using Ares Genetics’ AI-powered cloud-based bioinformatics platform and the underlying reference database, ARESdb. WGS-predicted susceptibility to antibiotics showed 89% categorical agreement with the current reference method of broth microdilution susceptibility testing across a total of 129 pathogen-drug pairs analyzed. Categorical agreement exceeded 90% in 78, and reached 100% in 32 pathogen drug pairs.

Bacterial co-infections in COVID-19

Ares Genetics white paper on the role of molecular diagnostics for bacterial co-infections in COVID-19

Functional Validation of Antibiotic Resistance Markers by High-Throughput Screening

Joint Ares Genetics publication with Prof. Müller (HIPS Saarbrücken) and Prof. Keller (CCB Saarland). The study introduces a novel, universally applicable high-throughput workflow for rapid identification and functional validation of antimicrobial resistance (AMR) biomarkers from >1,000 clinical isolates. When combined in a multiplex diagnostic in silico panel, the identified AMR biomarkers reached high positive and negative predictive values of up to 97 and 99%, respectively. Additionally, we demonstrate that the developed workflow can be used to identify potential novel resistance mechanisms.

The Science of Antimicrobial Resistance

Review by Ares Genetics published in MedNous (https://www.mednous.com/) on AMR and potential solutions

Integrating Culture-based Antibiotic Resistance Profiles with Whole-genome Sequencing Data for 11,087 Clinical Isolates

Joint Ares Genetics publication with Prof. Keller’s group at Saarland University introducing GEAR-base as a standardized research resource for antibiotic resistance genotypes and phenotypes. GEAR-base was originally established in collaboration with Universität des Saarlandes and Siemens and forms the nucleus of our proprietary ARESdb now combining whole-genome sequencing data for > 35,000 isolates with quantitative antibiotic susceptibility data for >100 antibiotics..

Optimizing Plasmid Identification for Clinical Bacterial Isolates Using Next-Generation Sequencing

Joint Ares Genetics publication with Prof. Keller’s group at Saarland University assessing the heterogeneity of in silico plasmid predictions based on whole-genome-sequenced clinical isolates. The study identified a high degree of heterogeneity and variation in sensitivity and precision for plasmid identification across taxa and computational approaches. Nevertheless, existing open source tools are very valuable for investigating the plasmid-borne resistome. Building upon the peer-reviewed research findings, the proprietary ARES Technology allows for fast and optimized plasmid identification from whole-genome sequencing data.

Ares Genetics and Curetis Pharma Services

We offer a comprehensive portfolio of solutions for antimicrobial drug discovery, clinical development, and product lifecycle management. Our solutions aim at supporting data-driven target and lead prioritization, accelerating clinical trials, augmenting clinical data for regulatory submissions, and informed antimicrobial drug use for effective antibiotic stewardship post launch.

Fast and Accurate Taxonomic Identification of Clinical Bacterial Isolates Using Next-Generation Sequencing

Joint Ares Genetics publication with Prof. Keller’s group at Saarland University comparing genome versus proteome-based identification of clinical bacterial isolates. Key findings include that taxonomic identification based on the proteome (by mass spectrometry, MS-biotyping) and the genome (by next-generation sequencing, NGS) show high concordance for clinical application. While NGS successfully resolved all clinical isolates on the species level, for 12% of the cases MS-biotyping resulted in genus level classification only. Building upon the peer-reviewed research findings, ARES Technology allows for fast and accurate taxonomic identification on the species level.