FEATURED CONTENT

• R&D Life Science Predictions: Exciting Trends To Watch For In 2024

  From AI's broad operational impact to the adoption of innovative franchise models with SaaS providers, take a look at a few trends that could define life sciences in the coming year.

• Efficient Data Aggregation & Oversight: A CRO Success Story

  Explore how a full-service CRO & tech-driven life sciences provider streamlined data aggregation & clinical trial oversight, yielding significant time and cost savings.

• Breaking The Mold: How R Is Revolutionizing CSR Generation

  The open-source statistical programming language R is becoming more popular in the life sciences sector for clinical study report submissions due to its cost-effectiveness, inclusivity, and collaboration.

• Emerging Biotechs: Clinical Data Platform Considerations To Lessen CRO Reliance

  Explore the crucial factors necessary to evaluate clinical data platforms, leading to more streamlined and effective management of clinical trials.

• DCTs: Balancing Patient Accessibility With Data Reliability

  Discover why ongoing dialogue and scrutiny are essential to strike a balance between patient-centered initiatives and the methodological rigor necessary for credible and reliable results.

• Implementing ICH E6 (R3) In A Risk Averse Culture

  Get several pointers on how to facilitate a transition to an agile, multi-faceted, and continuous risk and issue management approach aligned with the Statistical Analysis Plan.

• Deciphering Fiction From Reality In The Technology B2B Sell Cycle

  Gain insight from someone who has worked on both sides of B2B sales about choosing a technology partner and what you should look for in a vendor.

• Maximizing Clinical Data Interoperability And Accelerating Trials

  Observe how meta-data-driven systems yield fresh data insights and empower seamless synchronization and automation of data review workflows, redefining the landscape of clinical research.

• FDA Covariate Adjustment Guide: What Non-Statisticians Should Know

  Non-statistical team members are encouraged to read this summary regarding the FDA’s guidance to better understand and support covariate adjustments applied in clinical trials.

• The Evolution From Data Integrity To Data Quality

  Consider these three factors when transitioning to a more robust and quality-driven data cleaning and central monitoring strategy.

• Are You Aiming For The Bullseye Or Just The Target?

  Learn what this author has to say about focusing on a clinical trial's outcome when developing Risk-Based Quality Management strategies.

• Closing the Gap Between C-Suite Vision And Operational Reality

  Unearth how biopharma companies are bridging the gap between C-suite members and clinical operations with these scalable and practical solutions.

• Implementing And Scaling Data Platforms For Streamlined Delivery

  Dive into this three-stage execution plan established by a CRO that allowed organizational and process changes to occur in lockstep with a risk-based quality management platform rollout.

• Creating A Successful ML Data Governance Strategy

  Thanks to discoveries and tech advancements, the industry has witnessed a surge in data. Consider these key principles when developing and implementing machine learning governance policies.

• Repositioning Your CDM Team To Meet Digital Trial Demands

  Consider these steps when repositioning your clinical data management team to unify cross-functional reviews and align processes and technology to meet the demands of digital trials.

• Small Team, Big Results: Maximizing Your Data Footprint

  Explore several options that leaders should consider when determining how best to leverage and position data science expertise to support clinical data operations.