Researchers in biological sciences are faced with the monumental task to uncover insights from overwhelming amounts of information to identify new, more effective therapies. Intense competition demands that insights are identified quickly and confidently; researchers need to be equipped with data skills to do that. EmBiology relieves this pressure by collating critical disease data into a single place and structuring it in an interactive way. This facilitates evidence-based research decisions for successful projects that ultimately bring novel treatments to patients faster.

EmBiology is powered by an AI-driven knowledge graph of 1.4 million entities connected by 15.7 million relationships, and 87.2 million referenced and viewable facts. It helps you: 

● Understand disease biology with cause-and-effect relationships from published experimental results 

● Get targeted biological relationship data, using publication, relation and concept filters, with literature references 

● Minimize the risk of research bias by removing the reliance on known literature search terms

Comprehensive and real-time - EmBiology is updated weekly, encompassing core journals in drug development and disease biology, data from clinicalTrial.gov and abstracts from Pubmed. With as few as five clicks, researchers can confidently organize comprehensive information on drugs, compounds, and clinical trials enabling the development of the next potential therapeutic strategy.

If you are working in disease biology, interested in finding new therapeutic targets, and developing new drugs, join our webinar with Dr. Sherry Winter.