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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