NLM Musings from the Mezzanine
Innovations in Health Information from the Director of the National Library of Medicine
Did you know that 2023 is a Year of Open Science? To honor this, NLM is excited to announce two new LHNCBC projects that will enable access to scientific data: the Center for Clinical Observational Investigations (CCOI) and Leveraging Large-Scale Clinical Datasets (LSCDs) for HIV outcomes projects.
The emerging field of personal health informatics strives to bridge the gap between personally generated health data and individuals receiving real-time information to make informed decisions about their health. Check out our notice of funding opportunity!
Guest post by Yanli Wang, PhD, Program Officer, Division of Extramural Programs, National Library of Medicine. Solving complex biomedical or public health problems demands interdisciplinary collaboration with researchers who are ready to address important biomedical issues. To meet this demand, the National Science Foundation (NSF) and the National Institutes of Health (NIH) joined in 2013 … Continue reading How an Interagency Smart and Connected Health Program Uses Big Data to Support Personal Health
Guest post by Richard J. Hodes, MD, Director, National Institute on Aging, and Eliseo Pérez-Stable, MD, Director, National Institute on Minority Health and Health Disparities, NIH. A few months into the COVID-19 pandemic, we shared how NIH was working to speed innovation in the development, commercialization, and implementation of technologies for COVID-19 through NIH’s Rapid … Continue reading RADx-UP Program Addresses Data Gaps in Underrepresented Communities
Meet my close colleague, Dr. Dina Demner-Fushman! This brilliant researcher is the face behind what many of you have already accessed on NLM’s websites. Many of you will agree with me when I say that having one PhD is extremely impressive–but would you believe she has TWO?! In addition to her master’s degree, Dr. Demner-Fushman … Continue reading Meet the NLM Investigators: Dr. Demner-Fushman Knows the Answers to Your Questions!
Last week I turned 69! Can you believe that??? This is so amazing to me—how could I be THAT OLD?? Two years ago (when I was just 67!), I shared that… In midlife, I think I’m where I’m supposed to be, because I feel like I’m 39, think I look like I’m 49, believe I … Continue reading Is Age Really Just a Number?
Guest post by Lyn Hardy, PhD, RN, Program Officer, Division of Extramural Programs, National Library of Medicine, National Institutes of Health. Before the advent of algorithms to determine the best way to treat and prevent heart disease, a health care provider looking for best practices for their patients may not have had the resources to … Continue reading Using Large Datasets to Improve Health Outcomes
As we start year three of the COVID-19 pandemic, it’s time for NLM to take stock of the parts of our past that will support the next normal and what we might need to change as we continue to fulfill our mission to acquire, collect, preserve, and disseminate biomedical literature to the world. Today, I … Continue reading The Next Normal: Supporting Biomedical Discovery, Clinical Practice, and Self-Care
Guest post by Valerie Schneider, PhD, staff scientist at the National Library of Medicine (NLM) National Center for Biotechnology Information (NCBI), National Institutes of Health (NIH), and Kristi Holmes, PhD, Director of Galter Health Sciences Library & Learning Center and Professor of Preventive Medicine at Northwestern University Feinberg School of Medicine. Last year, we described … Continue reading Informing Success from the Outside In: Introducing the NLM Board of Regents CGR Working Group
This blog post is by Lynne Parker, Director, National AI Initiative Office and was originally posted on the White House Office of Science and Technology Policy blog. The Office of Science and Technology Policy and the National Science Foundation are seeking comments on the initial findings and recommendations contained in the interim report of the … Continue reading Bridging the Resource Divide for Artificial Intelligence Research