NLM’s Intramural Research Program (IRP) develops and applies computational approaches to a broad range of information problems in biology, biomedicine and human health.
https://www.nlm.nih.gov/research/index.html
For me NLM audio described videos - https://youtube.com/playlist?list=PL7dF9e2qSW0aXY_jm_OUCNC0DUFcYp892
Non-audio described version - https://youtu.be/Q1PWiLtFYr4
Transcript:
[Brennan] NLM has a 50-year history of conducting research here on the NIH campus. We call this our Intramural Research Program. The research that we do uses mathematics and computer science techniques to understand truth and clinical experiences by looking at large data sets. [Florance] I believe that research is the heart of a library and should be there and we are the world's library, and we have research. It's important because it will advance the approaches used in libraries all over the world to manage, and integrate, and find data so we can all get healthier faster. [Antani] There's always more research to be done. I think we are the cusp, at the beginning of trying to understand human bodies and the information that is contained in it. Each day different parts of the NIH are discovering new things. I think that presents NLM with an opportunity to keep toe to toe so that the two can work together. [Brennan] Now our Intramural Research Program actually has two key components. In our Computational Biology Branch, investigators use bioinformatics tools to understand the structure and function of genes and other kinds of protein data. In our Computational Health Informatics Branch, our investigators are trying to draw insights out of information about the clinical process of patients or the literature that describes clinical care. What's exciting is that we've actually unified these two programs under a single umbrella. [Florance] A really special thing is training and mentoring a next generation of scientists. [Porter] NLM has a really strong track record in computation. There are a lot of excellent scientists here and so I thought it would be great to be able to work with them and I’m really happy to be here and be able to like take chances that I probably couldn't do in most other environments. [Antani] We have an opportunity before us where all our findings, once translated, would reduce the barriers to access to medicine, improve treatability, improve early detection, which leads to better quality of life. [Florance] Our whole goal is to understand more about how living things work in order to improve the health of humans.