Malaria Screening Gets “Smart” with Machine Learning

Malaria Screener featured image

One of the most promising ways to fight malaria is early detection, which requires fast and accurate diagnostic testing. The NLM Malaria Screener was developed to perform automatic parasite counts, which directly supports the fight against malaria.

Addressing Inequities to IMPROVE Maternal Health for All

Today marks the beginning of Black Maternal Health Week, an observance that brings awareness to the state of Black maternal health in the United States, gives voice to the experiences of Black families, and highlights the critical need to improve maternal health outcomes nationwide.

Meet the NLM Investigators: Dr. Nash Rochman Explores Host-Pathogen Interactions

As part of our ongoing Meet the NLM Investigators series, it’s my pleasure to introduce you to Nash Rochman, PhD, an Independent Research Scholar in NLM’s National Center for Biotechnology Information (NCBI) Computational Biology Branch and member of the NLM Intramural Research Program.

ClinicalTrials.gov is Modernizing to Serve You Better

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Guest post by Anna M. Fine, PharmD, MS, Acting Director of ClinicalTrials.gov at the National Library of Medicine (NLM), National Institutes of Health. ClinicalTrials.gov is the world’s largest database of privately and publicly funded clinical trials. It provides easy access to clinical trial information for millions of users every month—from patients and their advocates to … Continue reading ClinicalTrials.gov is Modernizing to Serve You Better

NLM’s Research Mission: Advancing Data and Information Science

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NLM is more than just a resource for credible health information, scientific literature, and research resources; it also plays a critical role in helping to shape scientific and technological directions. The Division of Extramural Programs provides funding that directly supports cutting-edge science.

Data Science Tools Will Speed Rare Disease Solutions

image of NLM building with red, green, and blue uplighting and the Rare Disease Day logo

More than 10,000 rare diseases affect up to 400 million people worldwide, and those with rare diseases struggle for about six years on average before they receive an accurate diagnosis. But data-driven innovations are unlocking answers about rare diseases—as well as more common diseases—faster than ever before.

Our Libraries: Keeping Hope Alive for Heart Health

library shelves leading towards bright light of hope

Right now, I am reading The Paris Library by Janet Skeslien Charles. One quote that struck me the most is, “Libraries are lungs. Books the fresh air breathed in to keep the heart beating, to keep the brain imagining, to keep hope alive.”

Honoring Roger Glass, MD, PhD: A Leader in Global Health Here and Abroad

image of Robert Glass, MD, receiving an award from NIH Director Lawrence A. Tabak, DDS, PhD

On February 7, I had the honor of attending and speaking at a Celebration of Dr. Roger I. Glass in the Ruth Kirschstein Auditorium on the main NIH campus to pay tribute to my dear colleague, Dr. Roger Glass. Read more about how his work at the NIH Fogarty International Center advanced global health research.

It Takes a Village: Community Support and the Fortification of Health Among Black or African American Youth

In honor of Black History Month 2023, we are highlighting positive and protective factors that raise awareness of and show appreciation for the myriad cultural and community strengths that facilitate safe spaces, where the health of children and adolescents can be fortified and maintained.

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?