Health Hotlines was developed by NLM as a community service to help the public locate health-related information from organizations with toll free numbers. NLM has decided it will no longer update the Health Hotlines database because most of the information is now readily available through web search engines and because many of the organizations no longer have toll free numbers. Health Hotlines will remain online until the end of January, 2017, at which time it will be retired.
Archive for the ‘NLM/NIH News’ Category
The National Library of Medicine is accepting applications, beginning November 16, 2016, for NLM Information Resource Grants to Reduce Health Disparities. Here is some key information and dates for applying for the grant:
Funding Opportunity Purpose: This Funding Opportunity Announcement (FOA) solicits resource grant applications for projects that will bring useful, usable health information to health disparity populations and their health care providers. Access to useful, usable, understandable health information is an important factor during health decisions. Proposed projects should exploit the capabilities of computer and information technology and health sciences libraries to bring health-related information to consumers and their health care providers.
Because this FOA focuses on providing health information to health disparity populations, institutions with demonstrated commitment to the needs of health disparity communities (including Tribal Colleges and Universities (TCU), Historically Black Colleges and Universities (HBCU), Hispanic-Serving Institutions (HSI) and other institutions in rural and socially disadvantaged areas) are encouraged to apply.
Earliest Submission Date for Applications: November 16, 2016
Application Due Date: December 16, 2016, by 5:00 PM local time of applicant organization
For additional application and award information, click here.
Check out the September issue of NIH News in Health, the monthly newsletter bringing you practical health news and tips based on the latest NIH research: To search for more trusted health information from NIH, bookmark http://health.nih.gov
Recognizing and treating learning disabilities early in life can help kids succeed throughout school years and into adulthood. Read more about learning disabilities.
Out-of-control eating can look and feel remarkably similar to an addiction to drugs. Scientists are analyzing the brain’s role in binge eating. Read more about out-of-control eating.
- Preschoolers Benefit from Peanut Allergy Therapy
- Be Sweet to Your Feet
- Featured Website: It’s a Noisy Planet. Protect Their Hearing.
|Click here to download a PDF version for printing.Visit our Facebook page to suggest topics you’d like us to cover, or let us know what you find helpful about the newsletter. We’d like to hear from you! Please pass the word on to your colleagues about NIH News in Health. We are happy to send a limited number of print copies free of charge for display in offices, libraries or clinics. Just email us or call 301-402-7337 for more information.|
The NIH Big Data to Knowledge (BD2K) program is pleased to announce The BD2K Guide to the Fundamentals of Data Science, a series of online lectures given by experts from across the country covering a range of diverse topics in data science. This course is an introductory overview that assumes no prior knowledge or understanding of data science. This is a series of high-level didactic overviews across the range of topics important for data science, intended to provide a general biomedical audience with an appreciation of the elemental issues related to data science research and applications.
The series will be held each Friday at 12 PM ET (9 AM PT) beginning September 9th, 2016. Please join from your computer, tablet or smartphone.
- To join the meeting online: https://attendee.gotowebinar.com/register/341938597813942273
- To join by phone only: +1 (914) 614-3221; Access Code: 736-335-403
- First GoToMeeting? Try a test session: http://help.citrix.com/getready
This is a joint effort of the BD2K Training Coordinating Center (TCC), the BD2K Centers Coordination Center (BD2KCCC), and the NIH Office of the Associate Director of Data Science.
For up-to-date information about the series and to see archived presentations, go to: http://www.bigdatau.org/data-science-seminars.
Registration is not required. Bookmark the webinar link for easy access to our weekly event!
09/09/16 – Introduction to Big Data and the Data Lifecycle (Mark Musen, Stanford)
09/16/16 – SECTION 1: DATA MANAGEMENT OVERVIEW (Bill Hersh, Oregon Health Sciences)
- 09/23/16 – Finding and accessing datasets, Indexing and Identifiers (Lucila Ohno-Machado, UCSD)
- 09/30/16 – Data curation and Version control (Pascale Gaudet, Swiss Institute of Bioinformatics)
- 10/07/16 – Ontologies (Michel Dumontier, Stanford)
- 10/14/16 – Metadata standards (Zachary Ives, Penn)
- 10/21/16 – Provenance (Suzanne Sansone, Oxford)
10/28/16 – SECTION 2: DATA REPRESENTATION OVERVIEW (Anita Bandrowski, UCSD)
- 11/04/16 – Databases and data warehouses, Data: structures, types, integrations (Chaitan Baru, NSF)
- 11/11/16 – No Lecture – Veteran’s Day
- 11/18/16 – Social networking data (TBD)
- 12/02/16 – Data wrangling, normalization, preprocessing (Joseph Picone, Temple)
- 12/09/16 – Exploratory Data Analysis (Brian Caffo, Johns Hopkins)
- 12/16/16 – Natural Language Processing (Noemie Elhadad, Columbia)
01/06/17 – SECTION 3: COMPUTING OVERVIEW (Dates Tentative)
- 01/13/17 – Workflows/pipelines
- 01/20/17 – Programming and software engineering; API; optimization
- 01/27/17 – Cloud, Parallel, Distributed Computing, and HPC
- 02/03/17 – Commons: lessons learned, current state
02/10/17 – SECTION 4: DATA MODELING AND INFERENCE OVERVIEW (Dates tentative)
- 02/17/17 – Smoothing, Unsupervised Learning/Clustering/Density Estimation
- 02/24/17 – Supervised Learning/prediction/ML, dimensionality reduction
- 03/03/17 – Algorithms, incl. Optimization
- 03/10/17 – Multiple testing, False Discovery rate
- 03/17/17 – Data issues: Bias, Confounding, and Missing data
- 03/24/17 – Causal inference
- 03/31/17 – Data Visualization tools and communication
- 04/07/17 – Modeling Synthesis
SECTION 5: ADDITIONAL TOPICS
- 04/14/17 – Open science
- 04/21/17 – Data sharing (including social obstacles)
- 04/28/17 – Ethical Issues
- 05/05/17 – Extra considerations/limitations for clinical data
- 05/12/17 – Reproducibility
- 05/19/17 – Summary and NIH context
Reasonable accommodation: Individuals with disabilities who need reasonable accommodation to participate in this event should contact Kristan Brown or Sonyka Ngosso at 301-402-9827. Requests should be made at least 5 business days in advance of the event. For questions, contact Crystal Stewart (firstname.lastname@example.org).
Videos will be archived on YouTube at: https://www.youtube.com/channel/UCKIDQOa0JcUd3K9C1TS7FLQ.
We hope that you will enjoy this exciting and informative series of lectures on data science. Again, please instruct your students, staff, and colleagues to tune in. Share this announcement with others, too. We look forward to having you!
The tropical storm moving up the East coast, the recent severe flooding in Louisiana, and the near miss of two storms in Hawaii remind us about the devastation and health consequences that wind and rain can bring to our communities. To help you prepare and/or respond with authoritative health information resources, we have updated our Hurricanes and our Floods Information Guides on our Web site. You can embed the content from both of these pages on your own Website by accessing the Health and Human Services (HHS) Content Syndication Storefront. When we update any of these pages, your pages will be automatically updated as well.
- Information Guide: https://disasterinfo.nlm.nih.gov/enviro/hurricane.html
- Embed Content: https://digitalmedia.hhs.gov/storefront/showContent/15779
- Information Guide: https://disasterinfo.nlm.nih.gov/dimrc/floods.html
- Embed Content: https://digitalmedia.hhs.gov/storefront/showContent/15711
Coping with Disasters, Violence and Traumatic Events
- Information Guide: https://disasterinfo.nlm.nih.gov/dimrc/coping.html
For more information please visit, https://disasterinfo.nlm.nih.gov