Скачать или смотреть Can AI powered diagnostics revolutionize antimicrobial stewardship Machine learning based...

Presented By: Arne Materna


Speaker Biography: Dr. Arne Materna is Managing Director and CEO of Ares Genetics. Dr. Materna brings a wealth of experience in the development and commercialization of leading-edge bioinformatics platforms and products with a particular focus on microbiology and next-generation sequencing. He joined Ares Genetics from CosmosID Inc. where he served as Vice President Product. Before CosmosID, Dr. Materna held leadership positions and senior roles at QIAGEN, CLCbio (acquired by QIAGEN in 2013) and Pacific Biosciences. He obtained his doctorate in life science at the University of Konstanz, Germany, and gained experience in microbial genetics and microbiome research as a post-doctoral fellow at the Massachusetts Institute of Technology (MIT), prior to joining the industry in 2010.


Webinar: Can AI powered diagnostics revolutionize antimicrobial stewardship? Machine learning based prediction of antimicrobial resistance (AMR) in short and long read sequencing data.


Webinar Abstract: Antimicrobial resistance (AMR) has emerged as one of the principal public health problems of the 21st century. It threatens the effective prevention and treatment of an ever-increasing range of infections caused by bacteria no longer susceptible to the common medicines used to treat them.

The World Health Organization (WHO) has identified pathogen whole genome sequencing as a promising solution for the surveillance of bacterial outbreaks and the spread of AMR. Recent advancements in microbial genomics have indeed progressed our ability to detect pathogens but the detection and interpretation of AMR in an actionable way remains challenging. In this webinar, Dr. Arne Materna will share how Ares Genetics uses machine learning and validated laboratory workflows to bridge the limitations of microbial genomic sequencing to enable actionable infectious diseases testing and surveillance.


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