Clinical trials are complex and generate extensive data during the entire clinical lifecycle. Consequently, a lot of time is spent on the collection, validation, and processing of diverse data, which are needed to augment clinical trial operations, optimise cost and improve resource efficiencies.
Clinical trial analytical services enable stakeholders to perform a comprehensive review of the clinical study, site, and programme-level metrics to make data-driven decisions, improve clinical trial operations, and bring products to market faster.
The increasing trend of outsourcing data analytical services by pharmaceutical companies and medical device companies, the increasing number of clinical trials, and the rise in the quality by design (QbD) approach in research, pharma and manufacturing are driving the growth of the clinical trial analytical services market globally.
Finding the top clinical trial analytical services in contract marketing
Clinical Trials Arena has listed the top clinical trial analytical services providers in contract marketing based on its intel, insights, and decades-long experience in the sector. The list includes companies that provide various products and services, including method development and validation, pre-formulation and formulation, stability and release testing, method development for extractables and leachables, degradation analysis, defect analysis, and litigation support services such as patent infringement and counterfeit analysis.
The list also includes suppliers of advanced clinical data analytics platforms for more transparent processing of data and to facilitate the development of new clinical trial approaches.
The information contained within the download document is intended for clinical data analysts, clinical research analysts, regulatory coordinators, data coordinators, principal investigators, clinical informatics analysts, analytical scientists, research scientists, consultants, and any other individual involved in the analysis of clinical trial data.
The document contains detailed information on the suppliers and their product and service offerings, alongside contact details to aid your purchasing or hiring decision.
Advances in clinical trial data analytics
Consolidation of clinical operation data with predictive analytics capabilities can help in gaining a better and more meaningful view of the data.
The use of artificial intelligence (AI) tools in combination with statistical analysis helps in uncovering new insights. It helps to ensure that the trial data meets the regulatory standards, and enables categorising and classifying data entry errors, inconsistencies, and misreported adverse events, to that the drug approval process can be potentially expedited.
Machine learning (ML) tools are being used together with statistical analysis by researchers to unveil new information from large-scale repositories of real-world data and clinical histories.
Other advancements in clinical trial analytics include single cell proteomics, data integrity solutions and bio-relevant testing techniques, cloud-lab for scientific research, protein metrics, automated enzyme analysis, and automatic visual inspection machines.