Every day there is some amazing new headline related to Artificial Intelligence (AI) – it’s become good at video games! It’s driving cars, and it’s even managing restaurant reservations.

But, sometimes lost in this future-vision is the most practical and impactful way for AI change our lives. Namely, AI can help us do our current work by automating the drudgery and leaving the humans to do the creative, analytical, and frankly, fun, parts of our jobs.

For instance, in major legal cases, the interesting part is the analysis and strategy. The less fun part is categorizing documents as privileged or not, during discovery. Fortunately, AI can help with that! Or, in sports, a coach wants to analyze the film of a game to find areas to improve. Yet, she doesn’t want to find and classify the clips in the first place… but that’s a fine task for this AI. Even in data science in general, the fun part isn’t gathering data, but analyzing it. Again, there’s an AI for that (from the Web, at least).[1]

Now, when we think about the Life Sciences, there are many ways for AI to assist us by augmenting our tasks. AI can run assay screeners or identify aspects in microscope images, in both cases leaving the human to the creative tasks of hypothesis and analysis.

At Evid Science, our platform supports AI and human collaboration in life sciences to generate content such as systematic literature reviews, evidence gap reports, value dossiers, inquiry responses or any other evidence-based report. Our AI does the heavy lifting of uncovering the results, building an evidence table, and storing/updating the results. This allows users to focus on the fun tasks such as interpretation of results, analysis, writing, etc.

The process follows the diagram below, from top-to-bottom. In the old way, all of these steps would be done by hand, but with tools such as those from Evid Science, the machine assists where it can, mostly in the more arduous parts.

Essentially, the machine uncovers the results, and the human can then select and approve which to include in the content. We even go so far as to allow the machine to automatically generate and update the content as new results are identified and included.

So, if this sounds like something that might interest you, please don’t hesitate to reach out!

[1] Disclosure! InferLink Corp. develops the RSX tool and is a shareholder in Evid Science.