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Edetek’s CONFORM Platform: Streamlining Clinical Data Management in Oncology Trials

Image depicting the features and benefits of Edetek's CONFORM platform for clinical data management in oncology trials.

Edetek's CONFORM Platform: Revolutionizing Oncology Clinical Trials with Advanced Data Management Tools. From seamless integration across 75+ data sources to real-time insights with the OncoPlus Accelerator, this platform simplifies, speeds, and secures the trial process.

Exploring Edetek's CONFORM Platform: A New Approach to Clinical Data Management in Oncology Trials

Overview of the CONFORM Platform

The CONFORM platform by EDETEK offers a multifaceted approach to managing clinical data, focusing on five core areas:

Oncology-Focused Accelerator: CONFORM – ONCO+

For oncology, which presents unique challenges due to its data complexity, EDETEK introduced CONFORM – ONCO+. This accelerator:

Broader Application and Adoption

While CONFORM – ONCO+ is focused on oncology, the CONFORM™ platform supports a wide array of therapeutic areas, including CNS, rare diseases, and cardiovascular, and is trusted by half of the top pharmaceutical companies and numerous smaller to mid-size entities. This wide adoption underscores its versatility and impact across the clinical research spectrum.

Addressing Industry Challenges

The pharmaceutical industry, particularly oncology research, faces increasing trial complexity, from larger patient pools to more detailed data requirements. CONFORM addresses these by:

Conclusion

EDETEK’s CONFORM platform, with its ONCO+ accelerator, represents a significant step forward in clinical data management. It promises not only to manage the current demands of oncology trials but also to adapt to future challenges as the industry evolves. This platform could
serve as a model for how technology can be harnessed to make clinical research more
effective, faster, and safer — benefiting both researchers and patients.

CONFORM platform, with the ONCO+ accelerator, marks a significant advancement in clinical data management, promising to handle current and future oncology research demands, making research more effective, faster, and safer for all involved.

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