Drug development is a highly competitive space and the information about gene innovations is scattered across multiples sources, which makes the gene scouting process time consuming and tedious.
We are excited to announce that you can now prioritize genes with Leo, your AI research assistant.
Let’s walk through an example of how you could use Leo to prioritize a gene. Imagine you lead a research program about immuno-oncology at a biotech startup and you want to track any updates about IL33.
Cut through the noise
You can train Leo to read your biopharma feeds and prioritize articles related to IL33.
Leo continuously reads the thousands of articles published in your feeds. It’s an efficient way to cut through the noise and keep up with the latest news about methodologies and clinical trials.
You’re in control
We’ve trained Leo to understand 42,000 genes and 185,000 aliases from the NCBI database. This database belongs to the US National Library of Medicine and is used by leading websites such as PubMed and ClinicalTrials.gov.
Asking Leo to prioritize “IL33” in any of your biopharma feeds is as simple as creating a new Topic priority and selecting “IL33” as the topic.
When you create an “IL33” priority, Leo will be looking for all the aliases of “IL33“. What’s best is that these aliases were all disambiguated, which means Leo knows which aliases refer to genes, and which refer to unrelated topics, so you can be sure you’re prioritizing the right content.
You can combine topics with +AND and +OR and create even more targeted priorities for Leo.
Leo continuously learns
Leo is smart. He continuously learns from your feedback. When Leo is wrong, you can use the ‘Less Like This’ down arrow button to let him know that an article he’s prioritized isn’t about cardiovascular diseases.
See how Feedly for Biopharma can help you and your team dig deeper into the genes you’re researching.