On February 28, 2022 Genialis, a computational precision medicine company unraveling complex biology to find new ways to address disease, reported it will work with Inhibrx in an effort to develop a predictive biomarker for INBRX-109 in solid tumors (Press release, Inhibrx, FEB 28, 2022, View Source [SID1234609170]). Genialis will utilize its AI/ML clinical biomarker discovery platform, ResponderID, to help Inhibrx identify features for potential patient stratification and model the underlying biologies that predict response to the drug candidate.
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INBRX-109 is a precision-engineered, tetravalent death receptor 5 (DR5) agonist antibody designed to exploit the tumor-biased cell death induced by DR5 activation. In January 2021, the FDA granted Fast Track designation to INBRX-109 for the treatment of patients with unresectable or metastatic conventional chondrosarcoma. In collaboration with clinical researchers and data scientists at Inhibrx, Genialis is using ResponderID to derive representative gene sets and model the complex biologies that govern response to DR5 agonism. This work incorporates numerous data sets from Inhibrx’s preclinical studies and clinical programs, the public domain, and Genialis’ proprietary ML-ready database. The goal is to improve resolution of patient stratification to accurately identify potential responders and understand patient outcomes.
"Genialis’ ResponderID platform has enabled the capture of specific, sophisticated signal related to INBRX-109 sensitivity in both preclinical and clinical samples," said Brendan Eckelman, Ph.D., CSO of Inhibrx. "As we move forward in the clinic and generate more data, we anticipate the Genialis’ platform will allow us to better understand the relevant biology, and leverage that understanding into a predictive biomarker."
ResponderID defines, models, and validates new biomarkers for drug development and discovery programs. The platform is a technology suite for clinical and translational research, built from years of experience working with partners across the industry and advanced internal R&D. ResponderID incorporates technologies and proprietary tools for feature selection, data harmonization, and machine learning modeling. While ResponderID can complement virtually any data analysis environment, it is typically powered by data from Genialis Expressions, the FAIR-inspired data management, and bioinformatics processing software suite. The collaboration with Inhibrx marks the first publicly disclosed collaboration of the Genialis ResponderID platform since the commercial launch in November 2021 and represents a new stage of partnership between the companies in developing biomarkers for potential clinical guidance in the application of the therapeutic.
"Genialis’ focus has always been to harness the power of advanced data analytics to benefit human health," said Rafael Rosengarten, Ph.D., CEO of Genialis. "With Inhibrx, we have found a partner that shares this commitment and has a pipeline of exciting potential new medicines to achieve the goal. We are excited to continue our precision medicine journey together as we help advance their lead drug candidate to reach the patients most in need."
Genialis, a founding member of the Alliance for AI in Healthcare (AAIH), also released a new podcast from its popular series, "Talking Precision Medicine." The first episode of 2022 features well-known executive, investor, author, and entrepreneur Harry Glorikian to discuss his new book, "The Future You: How Artificial Intelligence Can Help You Get Healthier, Stress Less, and Live Longer." The podcast is available through Spotify and Apple. For more information, please visit www.genialis.com.