Anju Software

Anju Software

Anju Software

External Webinars from clinical tech leader

Webinar

Webinar

Webinar

Strategic Planning With Optimized Feasibility Assessments

Clinical trial feasibility should be driven by data, not guesswork—yet many teams still struggle with inaccurate enrollment estimates, reactive site selection, and costly delays. TA Scan’s Trial Feasibility Flex offers a smarter solution.

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Webinar

Webinar

Webinar

Leveraging Internal And External Insights For Precision Enrollment Modeling

High-quality data plays a critical role in enhancing trial feasibility through improved robustness, accuracy, and efficiency. In this presentation, Jenna Morris and Elke Ydens from Anju discuss how integrating both internal and external data insights can refine enrollment modeling. They emphasize the significance of leveraging diverse clinical intelligence alongside clinical team expertise to optimize trial outcomes.

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Case study

Case study

Case study

Feasibility Insights In HR+/HER2 - Metastatic Breast Cancer

Clinical trial feasibility demands a data-driven, strategic approach to navigate its inherent complexity. This case study demonstrates how TA Scan’s robust data and advanced analytics streamlined feasibility planning for a Phase II clinical trial targeting HR+/HER2- metastatic breast cancer as a second-line treatment

Webinar

Webinar

Webinar

The Strategic Role Of KOLs In Rare Disease Drug Development

Key Opinion Leaders (KOLs) are essential in rare disease research, guiding diagnosis, clinical trials, and market access. Strategic KOL engagement is crucial for accelerating innovation

Webinar

Webinar

Webinar

Small Populations, Big Challenges: Tackling Feasibility In Rare Disease Clinical Trials

Rare disease clinical trials face distinct challenges due to small, geographically dispersed patient populations, limited historical data, and a scarcity of experienced investigators. The rarity of patients also delays diagnosis, making physician collaboration essential for participant identification.

Datasheet

Datasheet

Datasheet

Feasibility Insights In NSCLC With EGFR Mutations: A Case Study

Clinical trial feasibility plays a critical role in the success of research, particularly in complex studies like phase 3 trials for non-small cell lung cancer (NSCLC) patients with EGFR mutations. These trials require a precise balance of internal insights and external data to optimize country and site selection, anticipate recruitment challenges, and streamline planning.

Article

Article

Article

Revolutionizing Clinical Trial Feasibility: Introducing TA Scan's Trial Feasibility Flex

Effective trial feasibility and enrollment planning are critical to the success of clinical research. However, the complex interplay of factors such as regulatory timelines, patient recruitment rates, site capacity, and competing trials often complicates the process. TA Scan’s Trial Feasibility Flex addresses these challenges by integrating robust global trial intelligence with user-specific insights to deliver precise, adaptable feasibility assessments.

Brochure

Brochure

Brochure

TA Scan Trial Planning Use Case

Clinical operations executives often grapple with the intricacies of trial planning, demanding accuracy at every phase. Anju's TA Scan, a web-based clinical intelligence tool, addresses these challenges by streamlining the process and delivering significant results.

Article

Article

Article

Enrollment Benchmarking: Driving Predictability In Clinical Trial Timelines

Efficient patient enrollment is a cornerstone of clinical trial success, directly impacting budget and patient access to new therapies. However, approximately 80% of clinical trials fail to meet initial enrollment targets, leading to delays, cost escalations, and regulatory challenges. Enrollment benchmarking, powered by advanced data solutions like TA Scan’s Trial Feasibility Flex, has emerged as a critical tool in addressing these challenges.

Webinar

Webinar

Webinar

Navigating Data Complexity: Leveraging Multiple Sources For Comprehensive Insights

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