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The Article Galaxy Blog

A Guide To Rapid Development Through Transformed Clinical Trial Analysis

Research Solutions|Marketing Team
Research Solutions|Marketing Team
June 19, 2024
4 min read

The adoption of Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies has transformed research capabilities. These advanced tools improve search, discovery, analysis, and knowledge management, making it easier to analyze diverse data types such as publication abstracts, patents, grants, clinical trials, current news, and various FDA sources. By leveraging AI and NLP, researchers can uncover insights more efficiently and make more informed decisions, ultimately driving innovation and progress across numerous fields.

This transformative shift in research methodologies highlights the need for innovative solutions that can seamlessly manage and interpret the ever-growing volume of clinical trial data.

Our recently launched Clinical Trial Landscape solution exemplifies our commitment to tackling the complexities of today's clinical trial landscape analysis. This AI-powered tool addresses the growing need for inclusive, unbiased access to global clinical trial data, streamlining the process of uncovering and summarizing valuable insights. With over 491,000 clinical trials registered globally—a significant increase from just 2,119 in 2000—the sheer volume of data presents a challenge for thorough analysis.

Overcoming Challenges in Clinical Trial Landscaping

Conducting systematic clinical trials presents several challenges:

•  Diversity & Heterogeneity of Trials: Variations in design, population, endpoints, and methodologies complicate the comparison and synthesis of data.
•  Data Availability & Quality: Particularly in industry-sponsored studies, delayed data publication affects the completeness and reliability of information.
•  Regulatory & Ethical Considerations: Constantly evolving and varying by country or region, these considerations make regulatory compliance difficult.
•  Diverse Stakeholders: Researchers, clinicians, regulators, industry sponsors, and patient advocacy groups interpret data differently, complicating its compilation and synthesis.
•  Resource Intensity: Comprehensive clinical trial landscapes require significant time, expertise, and resources due to the vast amount of data available.

Researchers can, and should, leverage emerging technologies to effectively address common clinical trial landscaping challenges. By adopting advanced analytical tools and data management systems, the complexity of handling extensive clinical trial data can be significantly reduced. Our Clinical Trial Landscape solution streamlines the analysis process, enhancing accuracy and efficiency, ultimately leading to more robust and reliable research outcomes.

Enhancing Data Analysis with Federated Search & Metadata 

This landscaping tool enhances various data sources with extensive metadata enrichment, enabling unique filtering and analysis capabilities. It also processes internal documents, such as those from SharePoint, by ingesting the content and applying the same metadata enrichment. This allows for extensive search functionality across multiple platforms.

Federated search allows simultaneous searching across multiple sources, enabling the creation of a single search strategy with customized rules and terms. This approach is particularly beneficial for clinical trials and publications, as it facilitates enhanced data analysis through visualizations like interactive heat maps, stacked bar charts, and Sankey diagrams. These tools help make sense of the data, providing clarity and insight, which is crucial for understanding this information.

Our solution also supports data export, which can be imported into visualization tools like Tableau or Power BI, offering a clear view of the datasets. This feature is essential for making informed decisions based on comprehensive and accurate data analysis.

Streamlining Data Analysis & Reporting

There is a need for clear, actionable insights from vast amounts of data, and our solution is designed to deliver exactly that. By allowing researchers to identify licensing opportunities and integrating information from both public and internal sources, we help them filter out the noise and focus on what truly matters. Metadata is key to finding, filtering, and analyzing high-quality data, letting essential insights to stand out.

Understanding that different teams within an organization share and interpret information in various ways, the solution supports these diverse decision-making processes throughout development. Whether part of the clinical or commercial team, each group benefits from tailored insights derived from the same data, customized to meet their specific needs. To facilitate this, the solution standardizes and enriches the metadata of all documents, including publications, clinical trials, patents, and tech transfer opportunities. By leveraging NLP, it tags and categorizes every document, ensuring a consistent structure that tells a cohesive and complete story.

Our Clinical Trial Landscape solution provides diverse options for analyzing and framing insights. It customizes reports to highlight specific data, guides users through report creation steps, and allows control over the outcome by selecting sources and trials for inclusion. This approach introduces a useful bias, ensuring that the information is relevant and meaningful according to individual needs.

For instance, when focusing on a condition like non-alcoholic fatty liver disease (NAFLD), users can begin with 463 clinical trials and apply filters to reduce this number to a manageable 55 trials. The solution verifies the relevance of these results, enabling further refinement before generating the report. This process guarantees that the final report is focused, detailed, and meaningful.

Worldwide Coverage

Many rely on ClinicalTrials.gov as a primary resource for tracking clinical trials, but it does not encompass all global trials. Our solution expands on this by integrating data from World Health Organization (WHO) registries and enriching it with detailed metadata. This gives users access to over 700,000 clinical trials worldwide, enhanced by our advanced AI capabilities. Consequently, users receive an in-depth and insightful analysis that offers a comprehensive view of global clinical research activities, surpassing the scope of clinicaltrials.gov alone.

To enhance accessibility, the information is aggregated into easy-to-understand reports that emphasize key data points. These summaries offer rapid insights into patient populations, study designs, and published results, ensuring users stay informed about ongoing and completed studies.

We understand the importance of staying current. Therefore, if there's a need to update a report with additional criteria, our solution ensures the process is quick and straightforward. Users can simply add new sources to their existing collection and rerun the report. This update typically takes between five to 10 minutes so that the report remains relevant and reflects the latest data accurately.

Ensuring Accuracy & Reliability

Our generated reports offer detailed summaries, dissecting sponsors, phases, statuses, and trial descriptions. They emphasize key aspects and distinctive features of each study, providing a concise overview of the focus areas, patient demographics, and tested treatments or interventions. Additionally, the reports summarize relevant publications, extracting essential insights and results.

Conducting a systematic review of clinical trials, including completed, ongoing, and planned studies, provides important insights for planning successful trials. Analyzing terminated or failed studies sheds light on past mistakes to avoid. For ongoing and recruiting studies, understanding where competitors are recruiting and the therapies they are developing is essential. This includes assessing the safety, efficacy, and stages of commercialization for their products.

One key concern is the potential for AI hallucinations—instances where the AI generates information not grounded in the specified references. To mitigate this risk, we strictly control the information sources our AI can use, ensuring that our reports are reliable and accurate.

A Powerful Tool for Informed Decision-Making

Our Clinical Trial Landscape solution simplifies the intricate process of clinical trial analysis, ensuring thorough, precise, and efficient results. By integrating data from global sources, maintaining consistent metadata, and leveraging advanced AI technologies, we offer a robust tool for researchers and commercial teams to make well-informed decisions and derive valuable insights.

If you have questions, or if you want to learn more about this recently launched solution, register to watch our on-demand webinar or get in contact with one of our experts for a personalized demo.

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