Lindus Health, the “anti-CRO” running radically faster, more reliable clinical trials, has officially announced its collaboration with Clinical Data Interchange Standards Consortium (CDISC), to accelerate the generation of standardized concepts using AI.
According to certain reports, CDISC will collaborate with Lindus Health to accelerate the generation of Biomedical Concepts across both the CDISC Foundational Standards, as well as the Therapeutic Area Standards.
To understand the significance of such a development, though, we first must acknowledge that traditional approach for such a process has long proven itself to be highly labor-intensive and time-consuming. We get to say so because it often requires advanced expertise in clinical research standards, medical terminology, and data modeling to generate just a few Biomedical Concepts.
In response, Lindus’ AI-driven solution brings forth the necessary mechanism to streamline this process, thus enabling the generation of a significantly greater number of Biomedical Concepts with remarkable efficiency.
“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.”
For better understanding, clinical trial data submitted to several regulatory agencies, including the U.S. Food and Drug Administration (FDA), must adhere to CDISC standards. As a result, CDISC actively collaborates with regulatory agencies to refine standards, and therefore, ensure that clinical trial data is structured, interpretable, and consistent across different submissions.
In the present context, 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.
More on the CDISC Biomedical Concepts would reveal how they tread up a long distance to ensure consistency in data collection, linking information across the data pipeline, and seamless sharing across studies. In fact, technologies like large language models (LLMs) are now only making it all the more seamless of an affair to create Biomedical Concepts, while simultaneously 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, and at the same time, upholding data standards.
Among other things, we ought to mention how Lindus Health is applying AI and other advanced technologies to optimize key areas of clinical operations, including protocol development, study design, central monitoring, and much more.
Founded in 2021, Lindus Health’s rise up the ranks stems from facilitating faster and more reliable clinical trials for life science pioneers. The idea behind doing so is to deliver ground-breaking treatments at patients’ disposal more quickly. The company achieves this objective on the back of commercial model which aligns incentives (fixed-priced quotes per study with milestone-based payments), a world-class clinical operations team, its unique software platform, and access to over 40 million Electronic Health Records.
Lindus’ trials have, thus far, conceived treatments for a range of conditions, including diabetes, asthma, acne, social anxiety, major depressive disorder, hypertension, chronic fatigue syndrome, and insomnia. The company’s excellence can also be understood once you consider Lindus is currently backed by heavyweights like Peter Thiel, Balderton, Creandum, Firstminute Capital, and Seedcamp.
“R&D has entered a transformative new era driven by AI and other advanced technologies that enhance clinical research,” said Peter Van Reusel, Chief Standards Officer at Clinical Data Interchange Standards Consortium (CDISC). “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.”
