Meet the NLM Investigators: Dr. Michael Chiang is Working to Eliminate Vision Loss

Meet Dr. Michael Chiang! After he planned for a career as an engineer, he found that his interest in machines could be applied to medicine and help treat people with disease. So he switched his focus (if you will!) to vision science before joining NIH as Director of NEI in November 2020.

Can Computer Vision Models Help Us Picture Better Health Outcomes?

photos of streets and neighborhoods on blue and green gradient map of the United States

Guest post by Andrew Wiley, Video Producer, NLM Office of Communications and Public Liaison (OCPL). NLM recently featured a video that highlights an exciting project funded through the NLM Extramural Programs Division. A team led by Quynh Nguyen, PhD, MSPH, Assistant Professor of Epidemiology and Biostatistics at the University of Maryland School of Public Health, used … Continue reading Can Computer Vision Models Help Us Picture Better Health Outcomes?

How an Interagency Smart and Connected Health Program Uses Big Data to Support Personal Health

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

Traveling a Bridge2AI in a Quest for High-Quality, FAIR Data Sets

This blog was authored by NIH staff who serve on the Bridge to Artificial Intelligence (Bridge2AI) Working Group. In April 2021, we introduced NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program to tap the potential of artificial intelligence (AI) for revolutionizing biomedical discovery, increasing our understanding of human health, and improving the practice of … Continue reading Traveling a Bridge2AI in a Quest for High-Quality, FAIR Data Sets

RADx-UP Program Addresses Data Gaps in Underrepresented Communities

Guest post by Richard J. Hodes, MD, Director, National Institute on Aging, and Eliseo PĂ©rez-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

The Importance of Listening—and Listening More—in Strategic Planning

I have spent much of the last year deeply involved in the creation of the very first NIH Digital Strategy Plan—an effort that requires listening across myriad NIH institutions and our stakeholders to glean what each finds important to our mission of seeking out and applying fundamental health care knowledge. I am proud to serve … Continue reading The Importance of Listening—and Listening More—in Strategic Planning

Using Large Datasets to Improve Health Outcomes

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

The Next Normal: Supporting Biomedical Discovery, Clinical Practice, and Self-Care

coronavirus pixels with earth behind

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

Informing Success from the Outside In: Introducing the NLM Board of Regents CGR Working Group

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

Bridging the Resource Divide for Artificial Intelligence Research

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