SOPHiA GENETICS Unveils Groundbreaking AI-Driven Patient Stratification Research at ESMO 2024

SOPHiA GENETICS Presents Ground-Breaking Multimodal Research on AI-Driven Patient Stratification at ESMO 2024 By Investing.com

Research highlights the use of multimodal machine learning to identify non-small cell lung cancer patients predicted to derive the most benefit from combination immunotherapy and ROLLE, , /PRNewswire/ -- SOPHiA GENETICS (Nasdaq: SOPH), a cloud-native healthcare technology company and a leader in data-driven medicine, will unveil new research at the European Society for Medical Oncology (ESMO) 2024. The study, conducted in collaboration with AstraZeneca (NASDAQ:AZN), leverages advanced AI-driven techniques to identify subgroups of stage IV non-small cell lung cancer (NSCLC) patients who could most benefit from the addition of tremelimumab to durvalumab and chemotherapy. The research is a retrospective, multimodal analysis of the POSEIDON Phase 3 clinical trial (NCT03164616). This trial originally demonstrated that the combination of tremelimumab, durvalumab, and chemotherapy significantly increases progression-free survival (PFS) and overall survival (OS) versus chemotherapy in patients with metastatic NSCLC, which lead to approval of this regiment globally in 1L mNSCLC. The SOPHiA GENETICS study used cutting-edge multimodal machine learning models to analyze clinical, biological, genomic, and imaging data, pinpointing patient subgroups who are most likely to benefit from the combination treatment. The research highlighted signatures identifying patients with non-squamous metastatic NSCLC who may derive higher OS benefit from the addition of tremelimumab to durvalumab plus chemotherapy in the first-line treatment setting. In particular, EGFR wild-type, FGFR3 wild-type, CDKN2A wild-type, KRAS mutation, and STK11 mutation comprised elements of a signature was identified as being associated with a higher OS benefit. These findings could have significant implications for the treatment of NSCLC, as it provides an exploration avenue towards a more tailored approach to patient care. "Our collaboration with AstraZeneca represents a major step forward in personalized oncology. Non-small cell lung cancer remains one of the most challenging cancers to treat due to its complex biology and the late stage at which it is often diagnosed," said Jurgi Camblong, Ph.D., Co-founder and CEO of SOPHiA GENETICS. "This study harnesses the power of multimodal data and advanced AI to identify which patients are most likely to benefit from specific therapies. By tailoring treatment strategies based on a patient's unique multimodal profile, we aim to improve outcomes and offer new hope to those battling this difficult disease." The study will be presented as a poster by Ferdinandos Skoulidis, Department of Thoracic Medical Oncology, University of Texas MD Anderson Cancer Center at ESMO 2024 hosted in from . His presentation showcases the operational feasibility and clinical impact of large-scale multimodal analyses in identifying heterogeneous treatment effects in oncology. For more information on SOPHiA GENETICS, visit SOPHiAGENETICS.COM, or connect on LinkedIn. About SOPHiA GENETICS SOPHiA GENETICS (Nasdaq: SOPH) is a cloud-native healthcare technology company on a mission to expand access to data-driven medicine by using AI to deliver world-class care to patients with cancer and rare disorders across the globe. It is the creator of the SOPHiA DDM™ Platform, which analyzes complex genomic and multimodal data and generates real-time, actionable insights for a broad global network of hospital, laboratory, and biopharma institutions. For more information, visit SOPHiAGENETICS.COM and connect with us on LinkedIn. SOPHiA GENETICS products are for Research Use Only and not for use in diagnostic procedures unless specified otherwise. The information in this press release is about products that may or may not be available in different countries and, if applicable, may or may not have received approval or market clearance by a governmental regulatory body for different indications for use. Please contact [email protected] to obtain the appropriate product information for your country of residence.

SOPHiA GENETICS Presents Ground-Breaking Multimodal Research on AI-Driven Patient Stratification at ESMO 2024

Research highlights the use of multimodal machine learning to identify non-small cell lung cancer patients predicted to derive the most benefit from combination immunotherapy BOSTON and ROLLE, Switzerland, Sept. 14, 2024 /PRNewswire/ -- SOPHiA GENETICS (Nasdaq: SOPH), a cloud-native healthcare technology company and a leader in data-driven medicine, will unveil new research at the European Society for Medical Oncology (ESMO) 2024. The study, conducted in collaboration with AstraZeneca, leverages advanced AI-driven techniques to identify subgroups of stage IV non-small cell lung cancer (NSCLC) patients who could most benefit from the addition of tremelimumab to durvalumab and chemotherapy. The research is a retrospective, multimodal analysis of the POSEIDON Phase 3 clinical trial (NCT03164616). This trial originally demonstrated that the combination of tremelimumab, durvalumab, and chemotherapy significantly increases progression-free survival (PFS) and overall survival (OS) versus chemotherapy in patients with metastatic NSCLC, which lead to approval of this regiment globally in 1L mNSCLC. The SOPHiA GENETICS study used cutting-edge multimodal machine learning models to analyze clinical, biological, genomic, and imaging data, pinpointing patient subgroups who are most likely to benefit from the combination treatment. The research highlighted signatures identifying patients with non-squamous metastatic NSCLC who may derive higher OS benefit from the addition of tremelimumab to durvalumab plus chemotherapy in the first-line treatment setting. In particular, EGFR wild-type, FGFR3 wild-type, CDKN2A wild-type, KRAS mutation, and STK11 mutation comprised elements of a signature was identified as being associated with a higher OS benefit. These findings could have significant implications for the treatment of NSCLC, as it provides an exploration avenue towards a more tailored approach to patient care. "Our collaboration with AstraZeneca represents a major step forward in personalized oncology. Non-small cell lung cancer remains one of the most challenging cancers to treat due to its complex biology and the late stage at which it is often diagnosed," said Jurgi Camblong, Ph.D., Co-founder and CEO of SOPHiA GENETICS. "This study harnesses the power of multimodal data and advanced AI to identify which patients are most likely to benefit from specific therapies. By tailoring treatment strategies based on a patient's unique multimodal profile, we aim to improve outcomes and offer new hope to those battling this difficult disease." The study will be presented as a poster by Ferdinandos Skoulidis, Department of Thoracic Medical Oncology, University of Texas MD Anderson Cancer Center at ESMO 2024 hosted in Barcelona, Spain from September 13-17, 2024. His presentation showcases the operational feasibility and clinical impact of large-scale multimodal analyses in identifying heterogeneous treatment effects in oncology. For more information on SOPHiA GENETICS, visit SOPHiAGENETICS.COM, or connect on LinkedIn. About SOPHiA GENETICS SOPHiA GENETICS (Nasdaq: SOPH) is a cloud-native healthcare technology company on a mission to expand access to data-driven medicine by using AI to deliver world-class care to patients with cancer and rare disorders across the globe. It is the creator of the SOPHiA DDM™ Platform, which analyzes complex genomic and multimodal data and generates real-time, actionable insights for a broad global network of hospital, laboratory, and biopharma institutions. For more information, visit SOPHiAGENETICS.COM and connect with us on LinkedIn. SOPHiA GENETICS products are for Research Use Only and not for use in diagnostic procedures unless specified otherwise. The information in this press release is about products that may or may not be available in different countries and, if applicable, may or may not have received approval or market clearance by a governmental regulatory body for different indications for use. Please contact [email protected] to obtain the appropriate product information for your country of residence. SOPHiA GENETICS Forward-Looking Statements: This press release contains statements that constitute forward-looking statements. All statements other than statements of historical facts contained in this press release, including statements regarding our future results of operations and financial position, business strategy, products, and technology, as well as plans and objectives of management for future operations, are forward-looking statements. Forward-looking statements are based on our management's beliefs and assumptions and on information currently available to our management. Such statements are subject to risks and uncertainties, and actual results may differ materially from those expressed or implied in the forward-looking statements due to various factors, including those described in our filings with the U.S. Securities and Exchange Commission. No assurance can be given that such future results will be achieved. Such forward-looking statements contained in this press release speak only as of the date hereof. We expressly disclaim any obligation or undertaking to update these forward-looking statements contained in this press release to reflect any change in our expectations or any change in events, conditions, or circumstances on which such statements are based, unless required to do so by applicable law. No representations or warranties (expressed or implied) are made about the accuracy of any such forward-looking statements. View original content to download multimedia:https://www.prnewswire.com/news-releases/sophia-genetics-presents-ground-breaking-multimodal-research-on-ai-driven-patient-stratification-at-esmo-2024-302246192.html