Causaly's GenAI capabilities embedded in Causaly Discover and Causaly Copilot allow you to ask your questions in mind in natural language format and return the most relevant results.
We recommend asking simple, straightforward biomedical questions with or without some context. Here are some examples related to target assessment.
Target Assessment
- What diseases are associated with miR-107? (Discover link) (Copilot link)
- How is CCR5 linked with dementia? (Discover link) (Copilot link)
- What cells and tissues are affected by PD-L1? (Discover link) (Copilot link)
- Which diseases are affected by mutations in IL-1β? (Discover link) (Copilot link)
- What biochemical pathways are affected by TP53? (Discover link) (Copilot link)
- Is IL-6 druggable? (Discover link) (Copilot link)
- How does blocking AKT1 differ in NSCLC vs glioblastoma? (Discover link) (Copilot link)
- STAT4 expression in various cell types (Discover link) (Copilot link)
- In which disease does IRF5 deficiency result in more than 80% protection? (Discover link) (Copilot link)