FEATURED ARTICLES

• Powering More Efficient Clinical Development With AI And ML

  Explore how AI and ML are revolutionizing clinical trials by automating data processes to accelerate research and transform data into actionable outcomes for patient care.

• Fomenting A Culture Of Analytical Excellence In Clinical Development

  Building an "analytics culture" in clinical research requires striking a balance between fast, flexible technologies and the right support for trial teams working to integrate these solutions.

• How FAIR Data Principles Deliver Clinical Success

  Prioritize data management that adheres to FAIR principles — findable, accessible, interoperable, and reusable — to gain operational insights that enable quick decisions and ensure participant well-being.

• Machine Learning To Drive Clinical Trial Efficiency

  Read on as authors explore accessing real-time clinical trial data for proactive study management, using adverse event data to enhance safety and performance, and tools to improve design.

• How To Facilitate Good Clinical Data Review In Your Clinical Trial

  Learn how to create a system based on connectivity and automation, aggregated and usable data, flexible analysis, and methods of collaborative data review by centralizing analysis and communications.

• Maximizing Clinical Data Insights With Advanced Analytics Platforms

  To achieve drug approval, trials must collect, combine, and analyze diverse data sets that support operational, safety review, risk management, and other analyses crucial to development.

• Clinical Data Like You've Never Seen It Before

  In a recent webinar, experts from Revvity Signals Software explored how solutions like its Spotfire platform enable better, more streamlined clinical studies.

• Key To A Faster, More Flexible Clinical Trial Process

  Discover how a single, integrated data analytics and visualization platform, supported by an experienced partner, can help you move your investigational product to market more quickly.

• Adapting To The Medical Monitor: Driving Tech Adoption In Clinical Analytics

  Reasoning for physician monitors’ reluctance, and what technology needs to offer to convince monitors their work can be more efficient: quickly detecting safety signals and speeding time to submission.

• Transforming Clinical Development

  To enable the completion of clinical trials as safely, efficiently, and quickly as possible, Revvity Signals Software’s clinical solutions streamline trial data visualization and analysis with real-time access to data in all phases of development.

• The Evolution Of The Modern Medical Monitor

  How to identify, hire, and empower a modern medical monitor to help your next study proceed toward submission more productively, and with greater data integrity, than ever before.

• Are Safety Signals Overlooked In Clinical Trials?

  In this interview, Jennifer Prichard, MD, Medical Monitor at Atlantic Research Group, and Hunter Walker, CTO at Atlantic Research Group (a CRO) will discuss challenges with existing medical monitoring processes, and how new technologies can help improve efficiency.

• Speeding The Switch To Risk-Based Monitoring

  The adoption of RBM is increasing as companies provide greater management support, staff training and more sophisticated technology systems. Technology platforms that enable continuous monitoring with near real-time intuitive visualizations, analytic dashboards and applications will allow issues to be identified and addressed early, improving study safety and efficiency.

• Placing The Patient First In Clinical Trials

  This article discusses ways to adopt patient-centered drug development, changing the corporate culture and trial design, understanding patient needs and incorporating them into trials, and leveraging technology to conduct remote patient-centric clinical trials.

• Empowering Clinical Trial Sponsors With Analytics

  Explore data challenges faced by sponsors, the underlying problems driving those challenges, and flexible processes and solutions designed to help overcome them.

• Overcome The Common Challenges Of Clinical Data Review

  Look at some of the main challenges of clinical data review and effective strategies to address these, as well as solutions that can be deployed to bring urgently needed therapeutics to patients faster.