Lindus Health, the “anti-CRO” running radically faster, more reliable clinical trials, has announced their collaboration with the Clinical Data Interchange Standards Consortium (CDISC), to accelerate the generation of standardized concepts using AI. CDISC is an organization that develops data standards to streamline the collection, sharing, and analysis of clinical trial data on a global scale.
CDISC is collaborating with Lindus Health, which is utilizing its proprietary AI technology, to accelerate the generation of Biomedical Concepts across both the CDISC Foundational Standards as well as the Therapeutic Area Standards. The traditional approach to this process is highly labor-intensive and time-consuming, often requiring advanced expertise in clinical research standards, medical terminology, and data modeling to generate just a few Biomedical Concepts. Lindus’ AI-driven solution has the potential to dramatically streamline this process, enabling the generation of a significantly greater number of Biomedical Concepts with remarkable efficiency.
Clinical trial data submitted to several regulatory agencies, including the U.S. Food and Drug Administration (FDA), must adhere to CDISC standards. CDISC actively collaborates with regulatory agencies to refine standards, ensuring that clinical trial data is structured, interpretable, and consistent across different submissions. CDISC’s strategic initiative to develop uniform terminology for capturing clinical observations through Biomedical Concepts will expedite data analysis, sharing, and regulatory review, ultimately advancing the pace of medical innovation and collaboration.
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CDISC Biomedical Concepts ensure consistency in data collection, linking information across the data pipeline, and seamless sharing across studies. Large language models (LLMs) are now making it easier to create Biomedical Concepts, helping researchers record and share data with standardized terminology. This pipeline is designed to work across all therapeutic areas, speeding up the creation of these essential concepts while upholding data standards.
“Our partnership with CDISC showcases our commitment to eliminating manual, slow processes in clinical research,” said Meri Beckwith, co-founder of Lindus Health. “We’re humbled to have the unique opportunity to improve data standards for the entire industry with AI, and we can’t wait to see what we accomplish together.”
“R&D has entered a transformative new era driven by AI and other advanced technologies that enhance clinical research,” said Peter Van Reusel, CDISC Chief Standards Officer. “As we grow our library of Biomedical Concepts to enable our 360i vision of end-to-end connected standards, our collaboration with Lindus Health is a key step in accelerating that work while ensuring data quality and harmonization at scale, paving the way for long-term efficiency as clinical trial data becomes increasingly more complex.”
Source: PRNewswire
