Austin, Texas– December 3, 2009
Rules-Based Medicine, Inc. (RBM) today announced that Psynova Neurotech Limited (Cambridge UK), a majority-owned subsidiary of RBM, has executed an exclusive research and licensing agreement with Roche to collaborate on the discovery, development, validation and commercialization of diagnostic immunoassays to aid the clinical development and commercial differentiation of novel treatments for schizophrenia.
Under the terms of the agreement, Roche will contract Psynova to identify candidate serum protein biomarkers that have utility in prognosis of disease progression and predicting or monitoring the efficacy and safety of a compound from Roche’s central nervous system (CNS) pipeline. Psynova will utilize its proprietary schizophrenia biomarker panels, its extensive CNS disease database and its access to RBM’s DiscoveryMAP™ technology to identify a specific biomarker signature that could serve as a companion diagnostic. Any resulting companion diagnostic will be developed either by Psynova and RBM (as the preferred developer for the companion diagnostic in partnership with Roche), or independently by Roche, which would result in milestone and royalty payments to Psynova.
"We are excited to enter into this partnership with Roche," said Dr. Sabine Bahn, chief scientific officer and founder of Psynova. "This alliance is part of an ongoing strategy to leverage the value of our biomarker portfolio in both the development of novel diagnostic aids for physicians and the accelerated development and delivery of novel therapeutics for patients.”
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.