diabetes
Unlocking Potential in The Next Generation of Scientists
Posted on by Griffin P. Rodgers, M.D., M.A.C.P., National Institute of Diabetes and Digestive and Kidney Diseases
While talent is everywhere, opportunity is not. That belief, and meeting people where they are, have been the impetus for the efforts of NIH’s National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) to nurture diverse research talent in the Pacific Islands. Most recently that effort manifested in opening a new biomedical research laboratory at Southern High School, located in Santa Rita village on the island of Guam.
One of seven research labs in the Pacific Islands established under NIDDK’s Short-Term Research Experience Program to Unlock Potential (STEP-UP), the facility provides research training to high school and college students from historically underserved populations, which is the mission of STEP-UP. The goal is to foster a diverse, talented scientific workforce.
Created by NIDDK more than 20 years ago, STEP-UP aims to make opportunities accessible to aspiring scientists nationwide, regardless of their background or zip code. In 2009, we expanded the program to the Pacific Islands. By working with academic and nonprofit coordinating centers throughout the United States and its Pacific territories, the program enables students to gain hands-on research experience, one-on-one mentorship, and access to modern laboratory techniques without travelling far from home.
For Mata’uitafa Solomona-Faiai, a Ph.D. student at Yale University School of Public Health, New Haven, CT, the exposure to science through STEP-UP turned into a passion for research. Solomona-Faiai participated in STEP-UP as a high schooler in American Samoa, and again as a college undergraduate. After getting her master’s degree at George Washington University in Washington, D.C., she returned to American Samoa to conduct epidemiology research—and became a co-mentor to high school STEP-UP students.
Her experiences in STEP-UP made her realize she wanted to pursue a life of public health research and gave her the skills to help pave that path. I was delighted to learn that Solomona-Faiai recently received an NIDDK Diversity Supplement to help support her research, which will focus on improving diabetes outcomes among adolescents from the Pacific Islands. She also hopes one day to run her own research group as an independent principal investigator, and I’m confident in her tenacity to make that happen!
Solomona-Faiai is among more than 2,300 students who have participated in STEP-UP since 2000. Her story embodies the scientific potential we can access if we contribute the right resources and tools. Early evaluation results of STEP-UP from 2002 to 2018 showed that many of the program’s participants have pursued careers as researchers, physicians, and physician-scientists [1]. In addition, of the more than 300 high school STEP-UP participants in the Pacific Islands, most have gone on to attend four-year universities, many majoring in STEM disciplines [2]. I’m heartened to know our efforts are paying off.
Bringing scientific opportunity to the Pacific Islands has entailed more than just placing students into research labs. We found we had to help create infrastructure—building labs in often under-resourced areas where nearly no biomedical infrastructure previously existed.
Since 2008, NIDDK has helped establish research labs at high schools and community colleges in the American Samoa, Commonwealth of the Northern Mariana Islands, Republic of the Marshall Islands, Federated States of Micronesia, Republic of Palau, and now Guam. The labs are also available to faculty to conduct their own science and to train as mentors. Having the support of their teachers is particularly important for students in these areas, many of whom have never heard of biomedical research before. For them, the labs often provide their first real exposure to science.
As proud as I am of the strides we’ve made, I know we have much more work to do. That’s why I’m grateful to the unwavering commitment of my colleagues, including Lawrence Agodoa who has pioneered STEP-UP and other programs in NIDDK’s Office of Minority Health Research Coordination; Robert Rivers, who coordinates NIDDK’s training programs; and George Hui at University of Hawaii at Manoa, who has directed the Pacific STEP-UP for 15 years.
They, like so many of NIDDK’s staff, partners, and grantees, will continue to work relentlessly to achieve our institute’s vision of developing a talented biomedical research workforce that fully represents the diverse fabric of the United States and its territories.
This month, we welcome a new class of STEP-UP participants, and I hope that, like Solomona-Faiai, they’ll experience the excitement of scientific discovery that will help shape their career goals and propel them to attain those goals. And I’m reminded of the tremendous responsibility we have to nurture and support the next generation of scientists. After all, the future of our nation’s health is in their hands.
References:
[1] NIDDK’s short-term research experience for underrepresented persons (STEP-UP) program. Rivers, R., Brinkley, K., Agodoa, L. JHDRP. 2019 Summer; 12: 1-2.
[2] Promoting local talents to fight local health issues: STEP-UP in the Pacific. Golshan, A., Hui, G. JHDRP. 2019 Summer; 12: 31-32.
Links:
Short-Term Research Experience Program to Unlock Potential (National Institute of Diabetes and Digestive and Kidney Diseases/NIH)
Office of Minority Health Research Coordination (NIDDK)
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 12th in the series of NIH IC guest posts that will run until a new permanent NIH director is in place.
Artificial Intelligence Getting Smarter! Innovations from the Vision Field
Posted on by Michael F. Chiang, M.D., National Eye Institute
One of many health risks premature infants face is retinopathy of prematurity (ROP), a leading cause of childhood blindness worldwide. ROP causes abnormal blood vessel growth in the light-sensing eye tissue called the retina. Left untreated, ROP can lead to lead to scarring, retinal detachment, and blindness. It’s the disease that caused singer and songwriter Stevie Wonder to lose his vision.
Now, effective treatments are available—if the disease is diagnosed early and accurately. Advancements in neonatal care have led to the survival of extremely premature infants, who are at highest risk for severe ROP. Despite major advancements in diagnosis and treatment, tragically, about 600 infants in the U.S. still go blind each year from ROP. This disease is difficult to diagnose and manage, even for the most experienced ophthalmologists. And the challenges are much worse in remote corners of the world that have limited access to ophthalmic and neonatal care.
Artificial intelligence (AI) is helping bridge these gaps. Prior to my tenure as National Eye Institute (NEI) director, I helped develop a system called i-ROP Deep Learning (i-ROP DL), which automates the identification of ROP. In essence, we trained a computer to identify subtle abnormalities in retinal blood vessels from thousands of images of premature infant retinas. Strikingly, the i-ROP DL artificial intelligence system outperformed even international ROP experts [1]. This has enormous potential to improve the quality and delivery of eye care to premature infants worldwide.
Of course, the promise of medical artificial intelligence extends far beyond ROP. In 2018, the FDA approved the first autonomous AI-based diagnostic tool in any field of medicine [2]. Called IDx-DR, the system streamlines screening for diabetic retinopathy (DR), and its results require no interpretation by a doctor. DR occurs when blood vessels in the retina grow irregularly, bleed, and potentially cause blindness. About 34 million people in the U.S. have diabetes, and each is at risk for DR.
As with ROP, early diagnosis and intervention is crucial to preventing vision loss to DR. The American Diabetes Association recommends people with diabetes see an eye care provider annually to have their retinas examined for signs of DR. Yet fewer than 50 percent of Americans with diabetes receive these annual eye exams.
The IDx-DR system was conceived by Michael Abramoff, an ophthalmologist and AI expert at the University of Iowa, Iowa City. With NEI funding, Abramoff used deep learning to design a system for use in a primary-care medical setting. A technician with minimal ophthalmology training can use the IDx-DR system to scan a patient’s retinas and get results indicating whether a patient should be sent to an eye specialist for follow-up evaluation or to return for another scan in 12 months.
Many other methodological innovations in AI have occurred in ophthalmology. That’s because imaging is so crucial to disease diagnosis and clinical outcome data are so readily available. As a result, AI-based diagnostic systems are in development for many other eye diseases, including cataract, age-related macular degeneration (AMD), and glaucoma.
Rapid advances in AI are occurring in other medical fields, such as radiology, cardiology, and dermatology. But disease diagnosis is just one of many applications for AI. Neurobiologists are using AI to answer questions about retinal and brain circuitry, disease modeling, microsurgical devices, and drug discovery.
If it sounds too good to be true, it may be. There’s a lot of work that remains to be done. Significant challenges to AI utilization in science and medicine persist. For example, researchers from the University of Washington, Seattle, last year tested seven AI-based screening algorithms that were designed to detect DR. They found under real-world conditions that only one outperformed human screeners [3]. A key problem is these AI algorithms need to be trained with more diverse images and data, including a wider range of races, ethnicities, and populations—as well as different types of cameras.
How do we address these gaps in knowledge? We’ll need larger datasets, a collaborative culture of sharing data and software libraries, broader validation studies, and algorithms to address health inequities and to avoid bias. The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) project and NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) Program project will be major steps toward addressing those gaps.
So, yes—AI is getting smarter. But harnessing its full power will rely on scientists and clinicians getting smarter, too.
References:
[1] Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks. Brown JM, Campbell JP, Beers A, Chang K, Ostmo S, Chan RVP, Dy J, Erdogmus D, Ioannidis S, Kalpathy-Cramer J, Chiang MF; Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium. JAMA Ophthalmol. 2018 Jul 1;136(7):803-810.
[2] FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems. Food and Drug Administration. April 11, 2018.
[3] Multicenter, head-to-head, real-world validation study of seven automated artificial intelligence diabetic retinopathy screening systems. Lee AY, Yanagihara RT, Lee CS, Blazes M, Jung HC, Chee YE, Gencarella MD, Gee H, Maa AY, Cockerham GC, Lynch M, Boyko EJ. Diabetes Care. 2021 May;44(5):1168-1175.
Links:
Retinopathy of Prematurity (National Eye Institute/NIH)
Diabetic Eye Disease (NEI)
Michael Abramoff (University of Iowa, Iowa City)
Bridge to Artificial Intelligence (Common Fund/NIH)
[Note: Acting NIH Director Lawrence Tabak has asked the heads of NIH’s institutes and centers to contribute occasional guest posts to the blog as a way to highlight some of the cool science that they support and conduct. This is the second in the series of NIH institute and center guest posts that will run until a new permanent NIH director is in place.]
How COVID-19 Can Lead to Diabetes
Posted on by Dr. Francis Collins
Along with the pneumonia, blood clots, and other serious health concerns caused by SARS-CoV-2, the COVID-19 virus, some studies have also identified another troubling connection. Some people can develop diabetes after an acute COVID-19 infection.
What’s going on? Two new NIH-supported studies, now available as pre-proofs in the journal Cell Metabolism [1,2], help to answer this important question, confirming that SARS-CoV-2 can target and impair the body’s insulin-producing cells.
Type 1 diabetes occurs when beta cells in the pancreas don’t secrete enough insulin to allow the body to metabolize food optimally after a meal. As a result of this insulin insufficiency, blood glucose levels go up, the hallmark of diabetes.
Earlier lab studies had suggested that SARS-CoV-2 can infect human beta cells [3]. They also showed that this dangerous virus can replicate in these insulin-producing beta cells, to make more copies of itself and spread to other cells [4].
The latest work builds on these earlier studies to discover more about the connection between COVID-19 and diabetes. The work involved two independent NIH-funded teams, one led by Peter Jackson, Stanford University School of Medicine, Palo Alto, CA, and the other by Shuibing Chen, Weill Cornell Medicine, New York. I’m actually among the co-authors on the study by the Chen team, as some of the studies were conducted in my lab at NIH’s National Human Genome Research Institute, Bethesda, MD.
Both studies confirmed infection of pancreatic beta cells in autopsy samples from people who died of COVID-19. Additional studies by the Jackson team suggest that the coronavirus may preferentially infect the insulin-producing beta cells.
This also makes biological sense. Beta cells and other cell types in the pancreas express the ACE2 receptor protein, the TMPRSS2 enzyme protein, and neuropilin 1 (NRP1), all of which SARS-CoV-2 depends upon to enter and infect human cells. Indeed, the Chen team saw signs of the coronavirus in both insulin-producing beta cells and several other pancreatic cell types in the studies of autopsied pancreatic tissue.
The new findings also show that the coronavirus infection changes the function of islets—the pancreatic tissue that contains beta cells. Both teams report evidence that infection with SARS-CoV-2 leads to reduced production and release of insulin from pancreatic islet tissue. The Jackson team also found that the infection leads directly to the death of some of those all-important beta cells. Encouragingly, they showed this could avoided by blocking NRP1.
In addition to the loss of beta cells, the infection also appears to change the fate of the surviving cells. Chen’s team performed single-cell analysis to get a careful look at changes in the gene activity within pancreatic cells following SARS-CoV-2 infection. These studies showed that beta cells go through a process of transdifferentiation, in which they appeared to get reprogrammed.
In this process, the cells begin producing less insulin and more glucagon, a hormone that encourages glycogen in the liver to be broken down into glucose. They also began producing higher levels of a digestive enzyme called trypsin 1. Importantly, they also showed that this transdifferentiation process could be reversed by a chemical (called trans-ISRIB) known to reduce an important cellular response to stress.
The consequences of this transdifferentiation of beta cells aren’t yet clear, but would be predicted to worsen insulin deficiency and raise blood glucose levels. More study is needed to understand how SARS-CoV-2 reaches the pancreas and what role the immune system might play in the resulting damage. Above all, this work provides yet another reminder of the importance of protecting yourself, your family members, and your community from COVID-19 by getting vaccinated if you haven’t already—and encouraging your loved ones to do the same.
References:
[1] SARS-CoV-2 infection induces beta cell transdifferentiation. Tang et al. Cell Metab 2021 May 19;S1550-4131(21)00232-1.
[2] SARS-CoV-2 infects human pancreatic beta cells and elicits beta cell impairment. Wu et al. Cell Metab. 2021 May 18;S1550-4131(21)00230-8.
[3] A human pluripotent stem cell-based platform to study SARS-CoV-2 tropism and model virus infection in human cells and organoids. Yang L, Han Y, Nilsson-Payant BE, Evans T, Schwartz RE, Chen S, et al. Cell Stem Cell. 2020 Jul 2;27(1):125-136.e7.
[4] SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas. Müller JA, Groß R, Conzelmann C, Münch J, Heller S, Kleger A, et al. Nat Metab. 2021 Feb;3(2):149-165.
Links:
COVID-19 Research (NIH)
Type 1 Diabetes (National Institute of Diabetes, Digestive and Kidney Disorders/NIH)
Jackson Lab (Stanford Medicine, Palo Alto, CA)
Shuibing Chen Laboratory (Weill Cornell Medicine, New York City)
NIH Support: National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; National Institute of General Medical Sciences; National Cancer Institute; National Institute of Allergy and Infectious Diseases; Eunice Kennedy Shriver National Institute of Child Health and Human Development
Insulin-Producing Organoids Offer Hope for Treating Type 1 Diabetes
Posted on by Dr. Francis Collins
For the 1 to 3 million Americans with type 1 diabetes, the immune system destroys insulin-producing beta cells of the pancreas that control the amount of glucose in the bloodstream. As a result, these individuals must monitor their blood glucose often and take replacement doses of insulin to keep it under control. Such constant attention, combined with a strict diet to control sugar intake, is challenging—especially for children.
For some people with type 1 diabetes, there is another option. They can be treated—maybe even cured—with a pancreatic islet cell transplant from an organ donor. These transplanted islet cells, which harbor the needed beta cells, can increase insulin production. But there’s a big catch: there aren’t nearly enough organs to go around, and people who receive a transplant must take lifelong medications to keep their immune system from rejecting the donated organ.
Now, NIH-funded scientists, led by Ronald Evans of the Salk Institute, La Jolla, CA, have devised a possible workaround: human islet-like organoids (HILOs) [1]. These tiny replicas of pancreatic tissue are created in the laboratory, and you can see them above secreting insulin (green) in a lab dish. Remarkably, some of these HILOs have been outfitted with a Harry Potter-esque invisibility cloak to enable them to evade immune attack when transplanted into mice.
Over several years, Doug Melton’s lab at Harvard University, Cambridge, MA, has worked steadily to coax induced pluripotent stem (iPS) cells, which are made from adult skin or blood cells, to form miniature islet-like cells in a lab dish [2]. My own lab at NIH has also been seeing steady progress in this effort, working with collaborators at the New York Stem Cell Foundation.
Although several years ago researchers could get beta cells to make insulin, they wouldn’t secrete the hormone efficiently when transplanted into a living mouse. About four years ago, the Evans lab found a possible solution by uncovering a genetic switch called ERR-gamma that when flipped, powered up the engineered beta cells to respond continuously to glucose and release insulin [3].
In the latest study, Evans and his team developed a method to program HILOs in the lab to resemble actual islets. They did it by growing the insulin-producing cells alongside each other in a gelatinous, three-dimensional chamber. There, the cells combined to form organoid structures resembling the shape and contour of the islet cells seen in an actual 3D human pancreas. After they are switched on with a special recipe of growth factors and hormones, these activated HILOs secrete insulin when exposed to glucose. When transplanted into a living mouse, this process appears to operate just like human beta cells work inside a human pancreas.
Another major advance was the invisibility cloak. The Salk team borrowed the idea from cancer immunotherapy and a type of drug called a checkpoint inhibitor. These drugs harness the body’s own immune T cells to attack cancer. They start with the recognition that T cells display a protein on their surface called PD-1. When T cells interact with other cells in the body, PD-1 binds to a protein on the surface of those cells called PD-L1. This protein tells the T cells not to attack. Checkpoint inhibitors work by blocking the interaction of PD-1 and PD-L1, freeing up immune cells to fight cancer.
Reversing this logic for the pancreas, the Salk team engineered HILOs to express PD-L1 on their surface as a sign to the immune system not to attack. The researchers then transplanted these HILOs into diabetic mice that received no immunosuppressive drugs, as would normally be the case to prevent rejection of these human cells. Not only did the transplanted HILOs produce insulin in response to glucose spikes, they spurred no immune response.
So far, HILOs transplants have been used to treat diabetes for more than 50 days in diabetic mice. More research will be needed to see whether the organoids can function for even longer periods of time.
Still, this is exciting news, and provides an excellent example of how advances in one area of science can provide new possibilities for others. In this case, these insights provide fresh hope for a day when children and adults with type 1 diabetes can live long, healthy lives without the need for frequent insulin injections.
References:
[1] Immune-evasive human islet-like organoids ameliorate diabetes. [published online ahead of print, 2020 Aug 19]. Yoshihara E, O’Connor C, Gasser E, Wei Z, Oh TG, Tseng TW, Wang D, Cayabyab F, Dai Y, Yu RT, Liddle C, Atkins AR, Downes M, Evans RM. Nature. 2020 Aug 19. [Epub ahead of publication]
[2] Generation of Functional Human Pancreatic β Cells In Vitro. Pagliuca FW, Millman JR, Gürtler M, Segel M, Van Dervort A, Ryu JH, Peterson QP, Greiner D, Melton DA. Cell. 2014 Oct 9;159(2):428-39.
[3] ERRγ is required for the metabolic maturation of therapeutically functional glucose-responsive β cells. Yoshihara E, Wei Z, Lin CS, Fang S, Ahmadian M, Kida Y, Tseng T, Dai Y, Yu RT, Liddle C, Atkins AR, Downes M, Evans RM. Cell Metab. 2016 Apr 12; 23(4):622-634.
Links:
Type 1 Diabetes (National Institute of Diabetes and Digestive and Kidney Diseases/NIH)
Pancreatic Islet Transplantation (National Institute of Diabetes and Digestive and Kidney Diseases)
“The Nobel Prize in Physiology or Medicine 2012” for Induced Pluripotent Stem Cells, The Nobel Prize news release, October 8, 2012.
Evans Lab (Salk Institute, La Jolla, CA)
NIH Support: National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute
Giving Thanks for Biomedical Research
Posted on by Dr. Francis Collins
This Thanksgiving, Americans have an abundance of reasons to be grateful—loving family and good food often come to mind. Here’s one more to add to the list: exciting progress in biomedical research. To check out some of that progress, I encourage you to watch this short video, produced by NIH’s National Institute of Biomedical Imaging and Engineering (NIBIB), that showcases a few cool gadgets and devices now under development.
Among the technological innovations is a wearable ultrasound patch for monitoring blood pressure [1]. The patch was developed by a research team led by Sheng Xu and Chonghe Wang, University of California San Diego, La Jolla. When this small patch is worn on the neck, it measures blood pressure in the central arteries and veins by emitting continuous ultrasound waves.
Other great technologies featured in the video include:
• Laser-Powered Glucose Meter. Peter So and Jeon Woong Kang, researchers at Massachusetts Institute of Technology (MIT), Cambridge, and their collaborators at MIT and University of Missouri, Columbia have developed a laser-powered device that measures glucose through the skin [2]. They report that this device potentially could provide accurate, continuous glucose monitoring for people with diabetes without the painful finger pricks.
• 15-Second Breast Scanner. Lihong Wang, a researcher at California Institute of Technology, Pasadena, and colleagues have combined laser light and sound waves to create a rapid, noninvasive, painless breast scan. It can be performed while a woman rests comfortably on a table without the radiation or compression of a standard mammogram [3].
• White Blood Cell Counter. Carlos Castro-Gonzalez, then a postdoc at Massachusetts Institute of Technology, Cambridge, and colleagues developed a portable, non-invasive home monitor to count white blood cells as they pass through capillaries inside a finger [4]. The test, which takes about 1 minute, can be carried out at home, and will help those undergoing chemotherapy to determine whether their white cell count has dropped too low for the next dose, avoiding risk for treatment-compromising infections.
• Neural-Enabled Prosthetic Hand (NEPH). Ranu Jung, a researcher at Florida International University, Miami, and colleagues have developed a prosthetic hand that restores a sense of touch, grip, and finger control for amputees [5]. NEPH is a fully implantable, wirelessly controlled system that directly stimulates nerves. More than two years ago, the FDA approved a first-in-human trial of the NEPH system.
If you want to check out more taxpayer-supported innovations, take a look at NIBIB’s two previous videos from 2013 and 2018 As always, let me offer thanks to you from the NIH family—and from all Americans who care about the future of their health—for your continued support. Happy Thanksgiving!
References:
[1] Monitoring of the central blood pressure waveform via a conformal ultrasonic device. Wang C, Li X, Hu H, Zhang, L, Huang Z, Lin M, Zhang Z, Yun Z, Huang B, Gong H, Bhaskaran S, Gu Y, Makihata M, Guo Y, Lei Y, Chen Y, Wang C, Li Y, Zhang T, Chen Z, Pisano AP, Zhang L, Zhou Q, Xu S. Nature Biomedical Engineering. September 2018, 687-695.
[2] Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing. Singh SP, Mukherjee S, Galindo LH, So PTC, Dasari RR, Khan UZ, Kannan R, Upendran A, Kang JW. Anal Bioanal Chem. 2018 Oct;410(25):6469-6475.
[3] Single-breath-hold photoacoustic computed tomography of the breast. Lin L, Hu P, Shi J, Appleton CM, Maslov K, Li L, Zhang R, Wang LV. Nat Commun. 2018 Jun 15;9(1):2352.
[4] Non-invasive detection of severe neutropenia in chemotherapy patients by optical imaging of nailfold microcirculation. Bourquard A, Pablo-Trinidad A, Butterworth I, Sánchez-Ferro Á, Cerrato C, Humala K, Fabra Urdiola M, Del Rio C, Valles B, Tucker-Schwartz JM, Lee ES, Vakoc BJ9, Padera TP, Ledesma-Carbayo MJ, Chen YB, Hochberg EP, Gray ML, Castro-González C. Sci Rep. 2018 Mar 28;8(1):5301.
[5] Enhancing Sensorimotor Integration Using a Neural Enabled Prosthetic Hand System
Links:
Sheng Xu Lab (University of California San Diego, La Jolla)
So Lab (Massachusetts Institute of Technology, Cambridge)
Lihong Wang (California Institute of Technology, Pasadena)
Video: Lihong Wang: Better Cancer Screenings
Carlos Castro-Gonzalez (Madrid-MIT M + Visión Consortium, Cambridge, MA)
Video: Carlos Castro-Gonzalez (YouTube)
Ranu Jung (Florida International University, Miami)
Video: New Prosthetic System Restores Sense of Touch (Florida International)
NIH Support: National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Diseases and Stroke; National Heart, Lung, and Blood Institute; National Cancer Institute; Common Fund
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