Certara customers will now be able to view curated life sciences content from Thomson Reuters Cortellis alongside their proprietary scientific data
Certara
™, a leading provider of software and scientific consulting services to improve productivity and decision-making from drug discovery through drug development, today announced that it is partnering with
Thomson Reuters
to provide its customers with access to Thomson Reuters Cortellis™ for Informatics life sciences content through its D360™ platform. Certara’s D360 is an integrated solution for the query, analysis and visualization of drug discovery and development data.
D360 facilitates information sharing within and between a pharma company’s silos of discovery, pre-clinical and clinical data. This comprehensive data integration approach allows researchers to evaluate all pertinent information when they need to make critical decisions. D360 also empowers researchers to query and analyze their data without support from the IT team, enabling them to answer their questions as soon as they conceive them.
“This partnership will enable our mutual customers to integrate Thomson Reuters’ authoritative content with other proprietary and public data that they have integrated via the D360 platform,” said Joseph Donahue, senior vice president at Thomson Reuters. “We are pleased to be working with Certara to drive innovative solutions that support the research efforts and workflows of our customers.”
For example, D360 will enable researchers studying a particular drug receptor to retrieve published information within the solution on all the molecules which attach to that receptor. By streamlining data gathering and analysis across internal and external sources, this enhanced form of D360 is expected to expedite decision making and accelerate the drug development process.
“Integration with Cortellis allows D360 to provide data views that present curated public data alongside a company’s internal proprietary data. Partnering with Thomson Reuters is another exciting step forward in ensuring that D360 remains the most usable and cost effective application for allowing scientists to easily get the data they need to make the best possible research decisions,” said Jonathan Feldmann, vice president, scientific informatics at Certara.
Cortellis for Informatics provides real-time, evidence-based information through application programming interfaces, which includes published experimental pharmacology, pharmacokinetic and pharmacodynamic results; clinical trial protocols and outcomes; competitive intelligence; patent information; and pharma company press releases and presentations. It also permits quantitative structure-activity relationship analyses of experimental results reported in published papers and patents. This data can be combined to develop an investigational drug pipeline database, and also to track competitor activity.
Empowering Sites and Patients: The Impact of Personalized Support in Clinical Trials
November 26th 2024To meet the growing demands of clinical research, sponsors must prioritize comprehensive support models, such as clinical site ambassadors and patient journey coordinators, who can address operational challenges and improve site relationships, patient satisfaction, and overall trial efficiency.
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.
FDA Finalizes Decentralized Clinical Trial Guidance
November 25th 2024The FDA's guidance is part of a broader effort to modernize clinical trials, improve efficiency, reduce participant burden, and expand access, particularly for underrepresented populations and those in geographically or economically constrained areas.
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.