Trials.ai

Trials.ai is a smart study platform that aims to revolutionize the clinical trial document creation process. According to the vendor, Trials.ai digitizes, automates, and adds intelligence to the process, with the goal of enabling faster clinical document creation. The platform is designed for life science companies, clinical research organizations, pharmaceutical and biotechnology companies, as well as academic research institutions. By removing barriers between data and end-users, Trials.ai aims to transition companies from a document-driven environment to a data-driven one, optimizing protocols and streamlining study startup. The platform leverages data from past trials, medical journals, thought-leader articles, and other trial-related documents to provide valuable insights and recommendations.

Key Features

Smart Study Creation & Connection: According to the vendor, Trials.ai's Smart Study platform digitizes, automates, and adds intelligence to the manual process of creating study documents. The platform aims to enable faster clinical document creation by removing barriers between data and end-users, transitioning companies from a document-driven environment to a data-driven one.

Data Mining: According to the vendor, Trials.ai's algorithms mine trial-related documents using artificial intelligence techniques such as natural language processing and machine learning. This process aims to extract valuable insights from customer-provided documents and public domain sources, optimizing clinical trial protocols for speed and efficiencies.

Clinical Trials Ontology: According to the vendor, Trials.ai utilizes a targeted training and tuning process with its ontology to provide more accurate and relevant recommendations. By leveraging the clinical trials ontology, the platform aims to understand the context and relationships between different trial-related concepts.

Optimize for Time, Cost, Risk, and Patient Centricity: According to the vendor, Trials.ai aims to optimize clinical trials for time, cost, risk, and patient centricity. The platform provides feedback on how decisions made during the trial planning process can affect these factors. Algorithms under development focus on trial amendments, trial complexity, and patient burden, with the ultimate goal of speeding up the availability of new treatments to patients.

Cross-Comparison of Data: According to the vendor, Trials.ai's system cross-compares data across all therapeutic areas from various sources to find similarities, provide recommendations, and surface contextual points of interest. By analyzing data from past trials, medical journals, thought-leader articles, and other trial-related documents, the platform aims to offer valuable insights to improve trial planning and decision-making processes.