If you need a system to automate post-market surveillance and to curate relevant literature and performance data for regulatory approval, Huma.AI is a top choice. This generative AI platform is designed for the life sciences industry, so medical affairs, regulatory affairs and clinical development teams can analyze and interpret results. It can analyze real-world data and automate post-market surveillance, producing validated results 97% of the time.
Another good option is Elicit, an AI research assistant that helps you find, summarize and extract data from more than 125 million academic papers. It's good for biomedicine and can speed up literature reviews, automate systematic reviews and keep you current with the latest research. Elicit is good for finding new papers, summarizing content and extracting data of interest.
Epsilon is another option. This AI-powered search engine speeds up scientific discovery by finding and summarizing relevant citations, synthesizing insights and validating claims. It has various features like Investigate, Search, Validate and Synthesize, making it a good all-purpose tool for researchers who want to streamline literature reviews and stay current with the latest research.