How AI Can Analyze Clinical Trial Research

Posted March 13, 2024

Clinical researchers and drug developers have an interest in understanding what's been tried before and what's currently being researched. This involves analyzing hundreds to thousands of clinical trial documents, including data from ClinicalTrials.gov, PubMed, and other sources. This is a time consuming process, and it is often difficult to do in a cost-effective manner. This is where AI and Docalysis come in.

Docalysis can analyze documents, including clinical research and trial data, via a process called natural language processing (NLP). This can be used to find specific information, patterns in the documents, or aggregate reports.

Clinical research is so complicated already, there's no need to make it even more complicated by manually reviewing every file yourself. The drudgery of reading through every single document or clinical trial is a no longer a necessary part of the job. AI promises to make this process much more efficient, and Docalysis is at the forefront of this movement. With faster document analysis, more of your time can be spent on strategic thinking and other high-level tasks.

In short, Docalysis is more than a tool, it's a copilot for your clinical research and drug development work.

If you would like to discuss your specific needs further, contact us at the contact page.