10.03.25 -- Combining RWD And Machine Learning To Determine Meaningful Patient Populations

Discover how embracing fast and flexible clinical analytics can help you address clinical questions and provide real-time insights into data issues as they arise.

See how study management tools simplify clinical trial management by centralizing all study information, enhancing efficiency and precision, and more.

Separate fact from fiction and dispel the myths about evolving clinical data collection, monitoring, and reporting by diving into this analysis of technology use in clinical trials.

In this presentation, Snehal Patel and Trevor Flaxman share their expertise with NetSuite to help you better understand data analytics and using the process to your full advantage.

How can an effective partnership help you to utilize advanced data analytics to address the significant challenges of clinical trials centered around ultra-rare diseases?

These high-quality, fit-for-purpose data modules are tailored to conditions such as prostate cancer, benign prostatic hyperplasia (BPH), non-muscle invasive bladder cancer (NMIBC), and more.

In the fast-paced world of clinical research, the ability to produce, review, and finalize high-quality documents—on time and with full regulatory compliance—is non-negotiable.

By engaging early and aligning oversight practices with inspection readiness goals, organizations can protect trial integrity, shorten development timelines, and reinforce patient safety.

This dynamic, system-agnostic approach to modernizing clinical trial monitoring supports targeted oversight, as well as sampling at the subject, visit, and form levels.