Causaly saves approximately 90% of the time normally spent on targeted literature reviews, enabling valuable expert resources to focus on more innovative research activities.
Causaly increases productivity and output for desk research and literature reviews, and enables faster, more informed decisions and earlier regulatory submissions, thus reducing time to market.
Causaly is able to use full text articles to find epidemiology data without adding noise, thus yielding extra findings and details.
Causaly covers epidemiology data for over 43,000 diseases and clinical findings, including rare and niche indications. Users can select patient populations by geography and demographic factors as needed.
Each month more than 100,000 new publications are machine-read and added to the over 30 million articles already included. Users can also subscribe to new epidemiology data of interest, to stay up-to-date with recent developments.
Searches in Causaly are transparent and reproducible and search strategies can be saved and shared with other users.