Conferences

News & Press

The power and cost-effectiveness of AI are calling into question many of our assumptions about healthcare.   The most important dichotomy proving to be false is that providing the latest and most thorough diagnostic technology to optimize clinical outcomes is more expensive.  When we use AI to more comprehensively analyze cases we benefit from Moore’s law rapidly and continuously reducing costs.  By contrast, hospital-based care, especially when in an intensive setting such as the NICU is continuously increasing in cost. It is not surprising that when more extensive testing produces clinically actionable results that actually decrease hospital costs we can accomplish the holy grail — better and less expensive simultaneously.

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In this webinar, Francisco De La Vega will introduce the Fabric GEM AI algorithm and demonstrate how it significantly simplifies and improves disease-causing variant identification over prior methods, substantially reducing genome interpretation time in the diagnosis of monogenic disease, and could allow cost-effective, automated reanalysis of undiagnosed cases over time. 

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Labs from every sector- private, reference, hospital, and academic- may be considering expansion of their test offering to include next generation sequencing (NGS). However, before implementing NGS, there are a number of factors that lab leaders must carefully consider to ensure that successful implementation and sustainability of their NGS program. Join XIFIN and Fabric Genomics …

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Clinical genomic testing and next-generation sequencing (NGS) are integral parts of realizing the potential of precision medicine, but the data complexity and technical integrations needed to make genomic data clinically meaningful and routinized have slowed mainstream adoption of these breakthrough technologies. Today, Fabric Genomics, a global leader in clinical interpretation of genomic data, announced a distribution agreement with XIFIN, a …

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Researchers at Rady Children’s Institute for Genomic Medicine (RCIGM) and its partners, including Fabric Genomics, have today published in Science Translational Medicine a new study documenting the process to diagnose rare genetic diseases in record time. This new method speeds answers to physicians and allows increased use of genome sequencing as a first-line diagnostic test …

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Fabric Genomics will launch a new solution this week for variant interpretation and clinical reporting, allowing clinical laboratories to dramatically accelerate turnaround times. This new software solution, called Fabric Hereditary Panels with ACE (AI Classification Engine), will debut at the ACMG annual meeting in Seattle, Washington. The solution incorporates an extensively validated, automated ACMG classification …

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In this presentation by Fabric Genomics, Dr. Katarzyna (Kasia) Ellsworth, Associate Laboratory Director at Rady Children’s Institute for Genomic Medicine, discusses the launching and scaling clinical NGS testing in a children’s hospital environment, utilizing Fabric Enterprise for the rapid interpretation of genomic data to decrease turnaround time and increase diagnostic yield. Rady is advancing rapid …

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Genomic medicine’s growth is transforming healthcare, delivering precision diagnoses and targeted therapies. Artificial intelligence approaches are needed to help clinicians cope with the rapidly increasing volumes of genomic data. Dr. Francisco De La Vega, Senior Vice President of Genomics at Fabric Genomics, spoke at Precision Medicine World Conference (PMWC) 2019 and talked about how AI …

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Diagnomics, a leading genetic testing company, has developed a new ACMG 59 report that is available to healthcare providers and their patients to complement Diagnomics’ portfolio of Personalized Genomics. Diagnomics has partnered with Fabric Genomics to use Fabric Enterprise, its clinical decision-support platform, to generate clinical insights for the report.

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Fabric Genomics and Genomenon announced today that they have entered into a partnership with the goal of further strengthening clinical genomic interpretation and variant classification. Fabric Genomics speeds and scales genomic interpretation by combining the most advanced AI algorithms with automated workflows, while Genomenon’s literature search engine facilitates comprehensive literature review, which is advantageous for …

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CHICAGO (GenomeWeb) – From the beginning, Fabric Genomics (formerly Omicia) has developed a unique solution for phenotype-driven genome interpretation from whole genome and exome data. The company is expanding into more hospital systems and clinical lab worldwide. “Our goal is to bring this now to every single hospital and every single testing lab around the …

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Fabric Genomics was recently highlighted in the San Francisco Business Times. Martin Reese, CEO, discussed how Fabric is transforming health care with clinical insights through AI interpretations of genomes, exomes, and panels for hereditary diseases and cancer. “We provide the software; the labs provide the genomics data,” said Reese. “We then do machine learning with …

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Fabric Genomics announced that its proprietary clinical genomics platform has been selected by 10 new commercial partners across four continents, including Africa, Asia, Europe and North America. The company’s software is allowing these organizations to provide genomics leadership and state-of-the art clinical genomics testing in their respective countries. The new customers consist of hospitals, clinical …

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Martin Reese speaks on a panel on the state of genomics and its role in healthcare. Moderated by Rasu Shrestha, Chief Innovation Officer at UPMC, the Webinar was hosted by the Center for Connected Medicine. Other panelists included Jill Hagenkord (Chief Medical Officer at Color), Mylynda B. Massart (Co-Investigator at All of Us Pennsylvania), and Houman Modarres (Senior Director of IP networks at Nokia).

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Fabric Genomics is a software genomics company that provides end-to-end genomic data analysis, annotation, curation, classification, and reporting solutions to clinical labs, hospital labs, life science companies, country sequencing programs, and research institutions. The organization’s machine-learning technologies and advanced proprietary algorithms VAAST and Phevor enable scientists to quickly and accurately process and analyze whole genomes, …

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