Noteworthy AI tools for quantitative data analysis include ChatGPT-o3-mini-high, along with specialized platforms such as Julius AI and Powerdrill. Additionally, SciSpace is a valuable companion for clarifying statistical formulas and concepts, while Deep Research elevates data insights to a whole new level. These tools offer advanced capabilities like automated data cleaning, graphical visualization, robust analysis and modeling, and even code generation in R and Python. They also assist in report writing and help explain complex analytical concepts. However, to use these tools effectively, you must have a clear understanding of your research needs—and the skills to craft precise prompts and confidently interpret and critique the AI-generated outputs.

In this presentation, Merle Werbeloff will share her hands-on experiences and insights on harnessing these tools for powerful quantitative data analysis

What you’ll learn: Where AI tools for quantitative analysis are genuinely helpful—and where they are not How to frame precise prompts and critically evaluate AI-generated results Tips for integrating AI into your research workflow with confidence

For students, supervisors, and academic researchers

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In this session we show how institutions can get the most out of Writefull as an academic writing assistant. We showcase Writefull’s latest AI features, the language models it employs, its advantages over other writing tools and ChatGPT, and its strong data privacy principles.

We'll close with a brief demo of Writefull's extended AI features for MS Word.

Demonstrating Efficacy: When is a Biostudy necessary or when will Dissolution suffice. Are biostudies the key to efficient and cost-effective medicine development? How do they compare to other clinical trials, and where do they fit in the regulatory pathway?

Biostudies play a crucial role in demonstrating the efficacy—and, by extension, the safety—of medicines. By doing so, they often eliminate the need for expensive, resource-intensive, and time-consuming clinical trials. But are they always necessary? What purpose do they serve, and how do they shape the development and approval of medicines?

Join us for this introductory webinar as we explore these questions and more. Gain insights into this fascinating and rewarding aspect of medicine development and registration.