What is DMPK, and why does it matter in drug development?
By leveraging advanced DMPK software solutions, you can streamline your workflows and make informed decisions with confidence.
IDBS supports preclinical research by providing data solutions that increase efficiencies across drug development
Reduce time in your planning, execution and data handling.
IDBS understands that preclinical research is a critical phase in the drug development process, focusing on several key areas to ensure the safety and efficacy of new treatments before they proceed to human trials.
The IDBS Polar platform supports a multi-tiered approach to data handling and analysis, particularly in immunogenicity testing, DMPK and bioanalysis and other areas. It combines planning, execution and reporting workflows, enabling researchers to streamline study reporting and mitigate data integrity risks.
This platform is especially useful for BioPharma professionals seeking to accelerate their time to market.
Leading CRO reduced study cycle times by 30%*
Reduction in overall study duration*
Reduction in study QA time*
Double the number of samples analyzed*
Why choose us?
IDBS Polar offers specific DMPK workflows to support study sample creation, analytical testing and computational analysis of results for both in vitro and in vivo testing. The dashboard enables users to compare results across multiple studies, focusing on both standard stability and study outcomes.
Evaluating the safety profile of a drug candidate is paramount. This involves assessing potential toxic effects on various organs and systems in animal models. IDBS can help you visualize toxicology data (e.g., dose-response curves) and generate submission-ready reports. IDBS provides:
IDBS’ Polar platform streamlines immunogenicity analysis by supporting a multi-tiered approach to assessing anti-drug antibodies (ADAs) through planning, execution and reporting workflows. This efficient management of data helps mitigate risks associated with manual data collation.
IDBS’ Polar platform supports sustainable preclinical research by minimizing environmental footprint through efficient data handling and optimized workflows. By reducing paper usage, enabling remote collaboration and promoting safer material practices, Polar helps organizations meet environmental standards while improving operational efficiency.
Ensuring compliance and data integrity
At IDBS, we leverage over 30 years of experience working with life sciences customers operating under GLP (good laboratory practice) and GMP (good manufacturing practice) regulations. We understand the regulatory requirements and challenges customers face in achieving, maintaining and demonstrating compliance. This involves thorough documentation and adherence to guidelines covering study conduct, personnel, facilities, equipment, protocols, operating procedures, study reports and quality assurance.
Capture your experimental and study data at the point of work to ensure full data tracking, chain of custody and GxP-compliance when needed. Integrate with key systems like LIMS.
For more details on the IDBS Cloud Platform and our compliance and quality commitment, please visit: Comprehensive GxP solutions – IDBS
Capture multimodal data in a sophisticated data backbone in a standardized way to connect experiment data with metadata and process data. With contextualized, augmented data at your fingertips, leverage our powerful data analytics capabilities to analyze and explore the potential of your data.
Discover how Polar can be the game-changer you have been waiting for.
By leveraging advanced DMPK software solutions, you can streamline your workflows and make informed decisions with confidence.
We delve deep into pain points, needs and challenges, uncovering the impact these challenges have on operations.
Improve data quality, productivity and compliance.
*Customer data on file at IDBS. This result was originally obtained using IDBS E-WorkBook; IDBS Polar delivers the same or higher gains as IDBS E-WorkBook in a like-for-like implementation, with added value from advanced analytics, AI/ML and reporting.