Drug development is a highly competitive space, and information on genetic innovations is spread across multiple sources, which makes the process of exploring genes long and tedious.
We are happy to announce that you can now prioritize genes with Leo, your AI research assistant.
Let’s look at an example of how you could use Leo to prioritize a gene. Imagine conducting an immuno-oncology research program at a biotech startup and wanting to track any updates on IL33.
Cut the noise
You can train Leo to read your biopharmaceutical feeds and prioritize articles related to IL33.
Leo continually reads the thousands of articles posted in your feeds. It’s an efficient way to cut the noise and keep up with the latest news on methodologies and clinical trials.
You are in control
We trained Leo to understand 42,000 genes is 185,000 aliases from the NCBI database. This database belongs to the US National Library of Medicine and is used by major websites such as PubMed and ClinicalTrials.gov.
Asking Leo to prioritize “IL33” in any of your biopharmaceutical feeds is as simple as creating a new topic priority and selecting “IL33” as the topic.
When you create an “IL33” priority, Leo will search all aliases of “IL33“. Best of all, these aliases have all been disambigued, meaning Leo knows which aliases refer to genes and which refer to unrelated topics, so you can be sure to prioritize the right content.
you can combine arguments with + AND and + OR and create even more focused priorities for Leo.
Leo learns all the time
Leo is smart. Learn continuously 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 has prioritized is not about cardiovascular disease.
Find out how Feedly for Biopharma can help you and your team delve into the genes you are researching.