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Trial Optimization
Patient Recruitment and Bias
Slow Regulatory Approvals
Administrative Reporting and Records
Large-Scale Research
Extensive Drug Development Process
Avatar Generation
Participant enrollment in clinical trials is both challenging and time-consuming. It is often marred by struggles with recruiting and retaining a sufficient number of eligible participants, while also promoting diversity among their ranks. As therapies become increasingly complex, the patient subset targeted by trials are becoming narrower and more specific. The large volumes and complexity of data in trials render traditional manual data management methods inefficient and labor-intensive, leading to prolonged trial durations and reduced overall efficiency.
Trase can help improve efficiency of the clinical trials process with solutions that allow you to better integrate and manage your data.
Collect, manage, unify, and analyze clinical trial data, identify inaccuracies, and assist in report preparation.
Develop and manage design and operational aspects of clinical trials.
Monitor patients throughout the trial process, capture relevant data points, and alert when patients are hospitalized.
Analyze site-level population data to identify trial candidates, reduce bias, and ensure enrolling patients meet criteria through data collection.
Ensure clinical trials adhere to regulatory standards and guidelines.
Extract, clean, and summarize essential data from patient medical records for secondary use.
Quickly analyze large sets of genomic data to identify disease-related patterns, predict genetic risks, and enable faster diagnoses of rare disorders.
Manage patient records and facilitate the exchange of health information across different healthcare systems and providers.
Extract insights from RWD, identify patterns and potential safety issues, and compare treatments to support clinical trial findings and regulatory submissions.
Analyze RWD to predict patient responses and recommend personalized treatment plans based on individual characteristics, outcomes, and genetic profiles.
Predict drug properties, identify potential drug targets, and analyze drug interactions and disease pathways to facilitate the design and development of novel drugs.
Accelerate transformative advancements in several pre-clinical and clinical gene therapy for the development of innovative new therapies.
Support patients undergoing treatment and engage advocacy groups to consider and address patient needs and perspectives.
Summarize and standardize preclinical research to understand the safety and efficacy of new drugs or treatment.
Discover how Trase can help you unlock new levels of productivity.
