Archive for the ‘NLM Resources’ Category
Both versions of TOXMAP, classic and beta, now include the Toxics Release Inventory (TRI) 2013 National Analysis data, as well as recent cancer and disease mortality data from NCI SEER. This is the first version of the TOXMAP beta with health data, whereas mortality data in TOXMAP classic has been updated. To view national county-level cancer and disease mortality data from 2007-2011 in TOXMAP beta, bring up the US Census & Health Data window and navigate to the Mortality tab. Two sub-tabs list cancer and disease mortality layers that can be overlaid on the map (one at a time).
TOXMAP maps the TRI chemicals reported to the EPA, as required by the Emergency Planning and Community Right to Know Act (EPCRA). A complete list of TRI chemicals required to be reported to the EPA can be found on the Toxics Release Inventory (TRI) Program website.
The PubMed “Related citations” feature will soon be renamed to “Similar articles.” “Similar articles” was chosen because “Related citations” is ambiguous. There are several types of relationships that articles may have. The algorithm to generate the results has not been modified. The link name will be updated on the Summary results. The Abstract display discovery tool title will also be renamed. To see illustrations of the new feature, visit the NLM Technical Bulletin.
The National Library of Medicine’s Tox Town resource now has an updated Town neighborhood with a new photorealistic look. All of the location and chemical information is the same, but the new graphics allow users to better identify with real-life locations. The Town scene is now available in HTML5 so, in addition to computers, it can be accessed on a variety of personal electronic devices, including ipads, ipad minis, and tablets. Regardless of where you live, you will definitely want to visit the updated Town neighborhood and learn about possible environmental health risks in a typical town.
Fifty years ago, Marshall W. Nirenberg, PhD, deciphered the genetic code. It led to a Nobel Prize—the first for a scientist at the National Institutes of Health. Dr. Nirenberg’s family recently donated his Nobel Prize medal to the National Library of Medicine to be added to the papers and other items that chronicle his contributions to science. NLM’s History of Medicine Division hosted the first of three events at NIH that will celebrate the legacy of Marshall Nirenberg, who died in 2010, and the fiftieth anniversary of his deciphering of the genetic code. Subsequent events will be announced by the NIH Office of Intramural Research.
A Tribute to Marshall Nirenberg was filled with personal stories from his wife; from a scientist in his lab; and from a historian who helped develop NLM’s Nirenberg collection. The event, held March 17, was recorded and can be viewed on demand. One of the most significant pieces in the Nirenberg collection is the chart that is the first summary of the genetic code. Dated January 18, 1965, when more than half of the code had been deciphered, the document, with curatorial notes provided by Serlin, was recently added to NLM’s Turning the Pages project, which is available online and as an iPad app. Dr. Nirenberg won the Nobel Prize for Physiology or Medicine in 1968. He shared the award with Har Gobind Khorana of the University of Wisconsin and Robert W. Holley of the Salk Institute.
As of April 21, 2015, the “Indexes” tab was removed from the NLM Technical Bulletin navigation bar. Instead, use the search box in the top right corner of every page to find articles and other content published from 1969 to present. Articles and other content from 1969 – 1996 are available as PDF; from 1997 forward are available as HTML.
As part of its ongoing work to develop an infrastructure and tools for identifying prescription pills, the National Library of Medicine has announced a new Request for Information (RFI). This is NOT a solicitation for proposals, proposal abstracts, or quotations. The purpose of this RFI is to obtain knowledge and information for project planning purposes. The government will not award a contract on the basis of this notice, or otherwise pay for information solicited by it. Proprietary information should be clearly marked. The requested information is for planning and market research purposes only and will not be publicly released. This Request for Information (RFI) is a pilot for a forthcoming Pill Image Recognition Challenge for visually identifying pills. The Challenge has as its main objective the development and discovery of high-quality software that matches images of unknown prescription pills to images in the RxIMAGE database. The pilot will help ensure that the Challenge is successful.
The National Library of Medicine (NLM) Computational Photography Project for Pill Identification (C3PI) is developing infrastructure and tools for identifying prescription pills. The infrastructure includes NLM’s RxIMAGE database of freely available, high quality prescription pill images and associated pill data. One tool is the freely accessible RxIMAGE API (Application Programming Interface) for text-based search and retrieval of images and data from the RxIMAGE database.
NLM now seeks to expand the toolset to include smart phone apps to visually search for and retrieve pill images and data. A person will photograph an unknown prescription pill, possibly under poor lighting conditions, from an angle, or at low resolution. The app will return one or more RxIMAGE images and data that are most likely to match the photographed pill. Respondents to the RFI are asked to submit executable software that matches consumer images – photos of pills taken by cell phone digital cameras – with reference images obtained from images in the RxIMAGE database.
The start date for accepting responses to this RFI is April 6, 2015. The end date for accepting responses to this RFI is May 15, 2015. For full information about the RFI, visit the NLM News & Events and NLM Pill Image Recognition Pilot (PIR Pilot) websites.
The MEDLINE/PubMed Search and Health Literacy Information Resources page and its preformulated Health Literacy Special Query have been updated to keep pace with the growing body of relevant literature. The Health Literacy Special Query now retrieves additional citations to articles about numeracy, comprehension of informed consent, and health insurance comprehension. The dynamic MEDLINE/PubMed health literacy search retrieves more than 8,000 citations to English language journal articles related to Health Literacy. PubMed filters can be used to limit to particular years, research or publication types. To limit citations to a particular subject (such as “decision making”) use the Advanced Search features.
Sometimes called Quantitative Literacy (QL) or Quantitative Reasoning (QR), numeracy involves skills needed to select a health insurance plan, choose treatments, and understand medication instructions. MEDLINE/PubMed may contain citations to articles that discuss numeracy skills of clinicians—physicians, nurses, and other health professionals who must communicate with patients and the public. Informed consent comprehension is of great interest to health literacy advocates and researchers who are concerned with how effectively health care providers communicate disease and treatment risks and benefits to patients. Among the more than 16,000 citations to articles with Informed Consent as a major descriptor, many citations don’t explicitly use the phrase “health literacy,” but are conceptually tied to it.
The selected resources on the right side of the MEDLINE/PubMed Search and Health Literacy Information Resources page includes new links, such as:
PubMed Mobile has been updated with several new features including additional filters, sort selections, trending articles, and related searches. Illustrations are included in a recent article published in the NLM Technical Bulletin.
Filters include: Article types (Books and documents, Clinical trials, Meta-analysis, Randomized controlled trials, Review articles, Systematic reviews); Text availability (Free full text, Full text); and Publication dates (5 years, 10 years). “Trending Articles” appears on the homepage. Discovery tools display below the results on mobile devices with smaller screen sizes.
On April 11-13, 2016, NLM will host the workshop Images and Texts in Medical History: An Introduction to Methods, Tools, and Data from the Digital Humanities. The event will be funded by the National Endowment for the Humanities (NEH), part of the NLM’s ongoing partnership with NEH, and held in cooperation with Virginia Tech, The Wellcome Library and The Wellcome Trust. Images and Texts in Medical History will involve presentations by leading scholars in digital humanities, who will demonstrate and discuss how emerging approaches to the analysis of texts and images can be used by scholars and librarians in the field of medical history. Images and Texts in Medical History will engage key issues in the history of medicine that have contemporary and future relevance including, but not limited to, the spread of disease, the rise of health professions, scientific research, health policy, and cultural definitions of health and disease.
Images and Texts in Medical History will be a unique public forum involving a hands-on instruction interdisciplinary workshop and sessions open to the public that will provide historians of medicine and interested others with an opportunity to learn about tools, methods, and texts in the digital humanities that can inform research, teaching, scholarship, and public policy. Participation in Images and Texts in Medical History will be free to workshop attendees and members of the public who wish to attend the open sessions, but registration will be required in order to manage space and related requirements. Registration details will be announced this summer.
The NIH Office of Research on Women’s Health (ORWH) has announced the publication of the Women of Color Health Data Book, 4th Edition. The Women of Color Health Information Collection presents data on race/ethnicity and disease. Through data, clues about how culture, race/ethnicity, socioeconomic background, and geographic location contribute to the health status of women of color can be identified. In order to explore sex differences, scientists need data about the similarities and differences between women and men in diabetes, cardiovascular disease, and other conditions.
Learn more about women of color and their unique health needs, and how the Women of Color Health Data Book, 4th Edition, can assist clinicians in providing person-centered care for diverse populations of women. Check out the pull-out Data Book collections on breast cancer and HIV/AIDS, and a podcast from the Academy of Women’s Health. Also visit ORWH Director Dr. Janine Clayton’s blog for a commentary introducing the Data Book. More information on women’s health is available from the the NLM Women’s Health Resources website.