Hôpital Saint-Louis Implements SOPHiA DDM™ Platform to Further Research of Myeloid Disorders
- Partnership with a prestigious hospital in Paris demonstrates SOPHiA GENETICS' ability to expand the use of data-driven medicine internationally.
- Implementation of the SOPHiA DDM™ Platform will expedite research and provide data-driven care to patients with Myeloproliferative neoplasms (MPNs).
- The Platform will enable tailored next-generation sequencing (NGS)-based workflows for accurate and sensitive characterization of the complex mutational landscape associated with myeloid neoplasms.
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The Hospital will use SOPHiA GENETICS technology to streamline workflows and expedite research
For more than 50 years, patients suffering from Myeloproliferative neoplasms (MPNs), a subset of myeloid malignancies in which too many blood stem cells mature into red blood cells, white blood cells, or platelets, have been referred to the team at Hôpital
"While the providers and researchers in my department have decades of experience with MPNs and are well-versed in providing the highest quality care to our patients, we have been pleased with the support of the innovative technology that SOPHiA GENETICS offers," said Bruno Cassinat, PharmD, Ph.D., Molecular Diagnostics, Hôpital
MPNs originate from hematopoietic disruptions in the myeloid lineage. Advances in the study of MPNs depend on timely, cost-effective, and reliable sequencing strategies. With the SOPHiA DDM™ Platform, the Cellular Biology Department will provide its patients with access to tailored next-generation sequencing (NGS)-based workflows that enable accurate and sensitive characterization of the complex mutational landscape associated with myeloid neoplasms. These workflows will provide researchers with high-quality, reproducible data on up-to-date gene panels to expedite and advance research.
"As we continue expanding the use of data-driven medicine around the world, we are keenly focused on aiding hospitals and labs with their efforts to keep up with expanding international recommendations and the near-constant progress being made in targeted therapies for myeloid disorders," said Kevin Puylaert, Managing Director, EMEA, SOPHiA GENETICS. "The SOPHiA DDM™ Platform is designed to ensure our customers not only have access to NGS workflows, but have the tools they need to identify insights that will help guide research, accelerate studies, and inform decision-making."
Molecular profiling via next-generation sequencing (NGS) is used to best investigate the pathogenic variants causing different myeloid malignancies, however, NGS produces a vast amount of complex data. The SOPHiA DDM™ Platform is a NGS-based application that uses artificial intelligence (AI) to efficiently analyze and interpret raw NGS data for researchers. The Platform provides streamlined insights in a matter of days, enabling clinicians to more quickly make data-driven recommendations to their patients.
For more information on SOPHiA GENETICS, visit SOPHiAGENETICS.COM, or connect on X, LinkedIn, Facebook, and Instagram.
About SOPHiA GENETICS
SOPHiA GENETICS (Nasdaq: SOPH) is a software company dedicated to establishing the practice of data-driven medicine as the standard of care and for life sciences research. It is the creator of the SOPHiA DDM™ Platform, a cloud-native platform capable of analyzing data and generating insights from complex multimodal data sets and different diagnostic modalities. The SOPHiA DDM™ Platform and related solutions, products and services are currently used by a broad network of hospital, laboratory, and biopharma institutions globally. For more information, visit SOPHiAGENETICS.COM, or connect on X, LinkedIn, Facebook, and Instagram. Where others see data, we see answers.
SOPHiA DDM™ Dx Myeloid Solution is available as a CE-IVD product for In Vitro Diagnostic Use in
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FAQ
What is the partnership between SOPHiA GENETICS and Hôpital Saint-Louis in Paris about?
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How will the Platform help the Cellular Biology Department at Hôpital Saint-Louis?
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What is the purpose of using next-generation sequencing (NGS) in the study of MPNs?