National Library of Medicine Helps Lead the Way in AI Research
Posted on by Patricia Flatley Brennan, R.N., Ph.D., National Library of Medicine
Did you know that the NIH’s National Library of Medicine (NLM) has been serving science and society since 1836? From its humble beginning as a small collection of books in the library of the U.S. Army Surgeon General’s office, NLM has grown not only to become the world’s largest biomedical library, but a leader in biomedical informatics and computational health data science research.
Think of NLM as a door through which you pass to connect with health data, literature, medical and scientific information, expertise, and sophisticated mathematical models or images that describe a clinical problem. This intersection of information, people, and technology allows NLM to foster discovery. NLM does so by ensuring that scientists, clinicians, librarians, patients, and the public have access to biomedical information 24 hours a day, 7 days a week.
The NLM also supports two research efforts: the Division of Extramural Programs (EP) and Intramural Research Program (IRP). Both programs are accelerating advances in biomedical informatics, data science, computational biology, and computational health. One of EP’s notable investments is focused on advancing artificial intelligence (AI) methods and reimagining how health care is delivered with the power of AI.
With support from NLM, Corey Lester and his colleagues at the University of Michigan College of Pharmacy, Ann Arbor, MI, are using AI to assist in pill verification, a standard procedure in pharmacies across the land. They want to help pharmacists avoid dangerous and costly dispensing errors. To do so, Lester is using AI to develop a real-time computer vision model. It views pills inside of a medication bottle, accurately identifies them, and determines that they are the correct or incorrect contents.
The IRP develops and applies computational methods and approaches to a broad range of information problems in biology, biomedicine, and human health. The IRP also offers intramural training opportunities and supports other training aimed at pre-baccalaureate to postdoctoral students and professionals.
The NLM principal investigators use biological data to advance computer algorithms and connect relationships between any level of biological organization and health conditions. They also use computational health sciences to focus on clinical information processing and analyze clinical data, assess clinical outcomes, and set health data standards.
NLM investigator Sameer Antani is collaborating with researchers in other NIH institutes to explore how AI can help us understand oral cancer, echocardiography, and pediatric tuberculosis. His research also is examining how images can be mined for data to predict the causes and outcomes of conditions. Examples of Antani’s work can be found in mobile radiology vehicles, which allow professionals to take chest X-rays (right) and screen for HIV and tuberculosis using software containing algorithms developed in his lab.
For AI to have its full impact, more algorithms and approaches that harness the power of data are needed. That’s why NLM supports hundreds of other intramural and extramural scientists who are addressing challenging health and biomedical problems. The NLM-funded research is focused on how AI can help people stay healthy through early disease detection, disease management, and clinical and treatment decision-making—all leading to the ultimate goal of helping people live healthier and happier lives.
The NLM is proud to lead the way in the use of AI to accelerate discovery and transform health care. Want to learn more? Follow me on Twitter. Or, you can follow my blog, NLM Musings from the Mezzanine and receive periodic NLM research updates.
I would like to thank Valerie Florance, Acting Scientific Director of NLM IRP, and Richard Palmer, Acting Director of NLM Division of EP, for their assistance with this post.
National Library of Medicine (National Library of Medicine/NIH)
Video: Using Machine Intelligence to Prevent Medication Dispensing Errors (NLM Funding Spotlight)
Video: Sameer Antani and Artificial Intelligence (NLM)
NLM Division of Extramural Programs (NLM)
NLM Intramural Research Program (NLM)
NLM Intramural Training Opportunities (NLM)
Principal Investigators (NLM)
NLM Musings from the Mezzanine (NLM)
Note: Dr. Lawrence Tabak, who performs the duties of the NIH Director, has asked the heads of NIH’s Institutes and Centers (ICs) to contribute occasional guest posts to the blog to highlight some of the interesting science that they support and conduct. This is the 20th in the series of NIH IC guest posts that will run until a new permanent NIH director is in place.
Using Science To Solve Oral Health Inequities
Posted on by Rena D'Souza, D.D.S., M.S., Ph.D., National Institute of Dental and Craniofacial Research
At NIH, we have a front row seat to remarkable advances in science and technology that help Americans live longer, healthier lives. By studying the role that the mouth and saliva can play in the transmission and prevention of disease, the National Institute of Dental and Craniofacial Research (NIDCR) contributed to our understanding of infectious agents like the coronavirus SARS-CoV-2, the cause of COVID-19. While these and other NIH-supported advances undoubtedly can improve our nation’s health as a whole, not everyone enjoys the benefits equally—or at all. As a result, people’s health, including their oral health, suffers.
That’s a major takeaway from Oral Health in America: Advances and Challenges, a report that NIDCR recently released on the status of the nation’s oral health over the last 20 years. The report shows that oral health has improved in some ways, but people from marginalized groups —such as those experiencing poverty, people from racial and ethnic minority groups, the frail elderly, and immigrants—shoulder an unequal burden of oral disease.
At NIDCR, we are taking the lessons learned from the Oral Health in America report and using them to inform our research. It will help us to discover ways to eliminate these oral health differences, or disparities, so that everyone can enjoy the benefits of good oral health.
Why does oral health matter? It is essential for our overall health, well-being, and productivity. Untreated oral diseases, such as tooth decay and gum disease, can cause infections, pain, and tooth loss, which affect the ability to chew, swallow, eat a balanced diet, speak, smile, and go to school and work.
Treatments to fix these problems are expensive, so people of low socioeconomic means are less likely to receive quality care in a timely manner. Importantly, untreated gum disease is associated with serous systemic conditions such as diabetes, heart disease, and Alzheimer’s disease.
A person experiencing poverty also may be at increased risk for mental illness. That, in turn, can make it hard to practice oral hygiene, such as toothbrushing and flossing, or to maintain a relationship with a dental provider. Mental illnesses and substance use disorders often go hand-in-hand, and overuse of opioids, alcohol, and tobacco products also can raise the risk for tooth decay, gum disease, and oral cancers. Untreated dental diseases in this setting can cause pain, sometimes leading to increased substance use as a means of self-medication.
Research to understand better the connections between mental health, addiction, and oral health, particularly as they relate to health disparities, can help us develop more effective ways to treat patients. It also will help us prepare health providers, including dentists, to deliver the right kind of care to patients.
Another area that is ripe for investigation is to find ways to make it easier for people to get dental care, especially those from marginalized or rural communities. For example, the COVID-19 pandemic spurred more dentists to use teledentistry, where practitioners meet with patients remotely as a way to provide certain aspects of care, such as consultations, oral health screenings, treatment planning, and education.
Teledentistry holds promise as a cost-saving approach to connect dentists to people living in regions that may have a shortage of dentists. Some evidence suggests that providing access to oral health care outside of dental clinics—such as in schools, primary care offices, and community centers—has helped reduce oral health disparities in children. We need additional research to find out if this type of approach also might reduce disparities in adults.
These are just some of the opportunities highlighted in the Oral Health in America report that will inform NIDCR’s research in the coming years. Just as science, innovation, and new technologies have helped solve some of the most challenging health problems of our time, so too can they lead us to solutions for tackling oral health disparities. Our job will not be done until we can improve oral and overall health for everyone across America.
Oral Health in America: Advances and Challenges (National Institute of Dental and Craniofacial Research/NIH)
Oral Health in America Editors Issue Guidance for Improving Oral Health for All (NIDCR)
NIH, HHS Leaders Call for Research and Policy Changes To Address Oral Health Inequities (NIDCR)
NIH/NIDCR Releases Oral Health in America: Advances and Challenges (NIDCR)
Note: Acting NIH Director Lawrence Tabak has asked the heads of NIH’s Institutes and Centers (ICs) to contribute occasional guest posts to the blog to highlight some of the interesting science that they support and conduct. This is the 11th in the series of NIH IC guest posts that will run until a new permanent NIH director is in place.
Head and Neck Cancer: Building the Evidence Base for Precision Oncology
Posted on by Dr. Francis Collins
An exciting new era in cancer research is emerging, called precision oncology. It builds on decades of research establishing that cancers start with glitches in the genome, the cell’s instruction book. Researchers have now identified numerous ways that mutations in susceptible genes can drive the cancer process. Knowing where and how to look for them brings greater precision to diagnosing cancers and gives doctors key clues about which treatments might work and which ones won’t.
To build a firmer evidence base for precision oncology, more and more cancer genomes, from many different body sites, must be analyzed for clues about the drivers of the malignant process. That’s why it’s always exciting to see a new genomic analysis that adds substantially to our understanding of a common tumor. The latest to appear, published online at the journal Nature, comes from an NIH-supported study on the most common type of head and neck cancer, called squamous cell carcinoma. The technologically advanced analysis confirms that many previously suspected genes do indeed play a role in head and neck cancer. But that’s not all. The new data also identify several previously unknown subtypes of this cancer. The first descriptions of the abnormal molecular wiring in these subtypes are outlined, suggesting possible strategies to neutralize or destroy the cancer cells. That’s potentially good news to help guide and inform the treatment of the estimated 55,000 Americans who are diagnosed with a head and neck cancer each year.