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Discover how OpenSimplify helps researchers go from raw data to publication-ready manuscripts, automatically generating tables, summaries, and literature comparisons to streamline the publishing process.

In the world of scientific publishing, getting from data to a polished manuscript is often a slow, manual, and error-prone process. Researchers spend hours cleaning tables, formatting statistics, and searching through existing literature to support their findings. But what if your manuscript could start building itself the moment your analysis ends? OpenSimplify is changing the game by automating one of the most tedious parts of research: translating raw results into clean &

Choosing the right tool can make or break your clinical research workflow. In this post, we compare the top five platforms for statistical analysis in healthcare, spotlighting OpenSimplify, a rising, no-code solution trusted by researchers for its speed, accuracy, and ease of use. From automated Table 1s to forest plots in minutes, discover why OpenSimplify is changing how modern clinical studies get done.

Clinical research has the power to transform medicine, but anyone who’s worked with research data knows it’s no walk in the park. From messy datasets to regulatory minefields, clinical research data analysis brings its own unique set of headaches. Let’s explore the top five challenges researchers face and more importantly, how OpenSimplify helps solve them using powerful, AI-driven solutions for healthcare analytics.