NEJM AI Grand Rounds, a new monthly podcast hosted by Arjun (Raj) Manrai, Ph.D., and Andrew Beam, Ph.D., features informal, expert conversations that explore deep issues at the intersection of artificial intelligence and medicine.
In the first episode, Stanford University professor and cardiologist Dr. Euan Ashley shares how his team is using artificial intelligence to prevent, predict, and beat disease.
Follow NEJM AI Grand Rounds on Apple, Spotify, Goog
It's time for the BMJ Christmas issue! This year, my favorite article is an extremely rigorous examination of the optimal temperature of tea and which biscuit to best accompany it.
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It was great to see so many of you at last week’s WHSLA 2022 Business Meeting. At the meeting one of the New Business items was a discussion on the WHSLA website. After a mandatory Google update earlier in 2022, the website lost some functionality that also showed the older architecture and page structure of the website. Members recommended exploring migrating the WHSLA website in 2023.
As 2022 wraps up, please join me in thanking our 2022 WHSLA Board. As we all know, professional associations like ours run on volunteers and people willing to help out.
I would be remiss if I didn't thank all our WHSLA members for playing a part in our association this year. Whether you read a blog post, attended a meeting, shared an update during a discussion, or networked with other WHSLA members, we appreciate you!
2022 WHSLA Executive Board
President
President Elect
Immediate Past President (ex-officio)
Secretary
Treasurer
Robert Koehler and Karen Hanus (Apprentice)
Members-At-Large (Two-year term, 2021-2022)
2022 WHSLA Committees
Archives
Communications
Allan Barclay (List-serv)
Brenda Fay, Annie Lipski, Michele Matucheski (blog)
Jennifer Schram (WHSLA website)
GMR Health Science Librarian Focus Group
Membership Coordinator
Midwest Chapter/MLA Representative
Professional Development and MLA webinar coordinators
Reprinted from: ChemIDplus and the Drug Information Portal Content Available From PubChem Only Starting December 2022. NLM Tech Bull. 2022 Jul-Aug;(447):e2.
On December 12, 2022, PubChem will serve as NLM's single source for chemical information. NLM is retiring ChemIDplus and the Drug Information Portal, two other chemical property information sites, to better focus our development efforts on a single, integrated source of chemical information. All of the data found in ChemIDplus and the Drug Information Portal is currently available and will continue to be available in PubChem.
PubChem is the world's largest collection of freely accessible chemical information. A quick guide to finding ChemIDplus data on PubChem can be found at Accessing ChemIDplus Content from PubChem. In addition, About PubChem provides a wealth of information about using PubChem, including sections on:
A new self-paced PubChem tutorial (https://www.nlm.nih.gov/oet/ed/pubchem/tutorial/) is also available to guide users through the steps to access chemical property and structure data that hundreds of academic, government, and industrial sources contribute to PubChem. It includes step-by-step directions for how to find chemical information using chemical names, identifiers, molecular formulas, gene symbols, proteins, pathways, taxonomies, and structures.
New content will continue to be added to ChemIDplus and the Drug Information Portal until November 1, 2022. Both ChemIDplus and the Drug Information Portal will remain available until they are retired in mid-December 2022. The ChemIDplus data (which includes all of the data in the Drug Information Portal) is also available as a bulk download file through the NLM Data Distribution Program and will continue to be available after both sites are retired.
If you have any questions, please contact the NLM Support Center.
Being a Telepatient is a recent comic from Dr. Nathan Gray, meant to help patients prepare for telehealth visits. He includes 10 tips for making the most of your next virtual visit.
Bonus: It's short and easy-to-digest.
May be of interest to clinical staff or anyone invested in health literacy.
When I first saw the title of this book, "Laziness does not exist", I thought maybe it had been written by a former NFL player with a go, go, go philosophy. I was pleasantly surprised to learn it isn't a celebration of working/playing until you fall down, but a reframing of the necessity and benefits of not thinking of our lives and the hours in our day in terms of productivity.
Where does Dumptruck the chinchilla come in? The author's pet inspired him. Hear more in the NPR news story embedded below.
"I think animals help us remember that we shouldn't have to earn our right to exist. We're fine and beautiful and completely lovable when we're just sitting on the couch just breathing. And if we can feel that way about animals that we love and about, you know, relatives that we love, people in our lives who we never judged by their productive capacity, then we can start thinking of ourselves that way, too."
For you MLA members, a Be Well MLA event next week will be discussing this title (Wednesday, 12/14 at 1 pm CST).
What says "December" to you? To me it's snowflakes and cookies. Happily there are two TED-Ed videos about just that!
I thought WHSLA Members might be interested in the following free webinar:
What's This PDF? The Difference Between Preprints, Epubs, Author Manuscripts, and Version of Record
Monday, December 12 , 2022 | 4:00-4:30 PST
You found a PDF online, but you're not sure how official it is. Is a preprint different from "online ahead of print"? Have author manuscripts been peer-reviewed? If there are two different versions of a paper, which one should you cite? Come learn answers to all these tricky questions and more.
Presented by:
Kelli Hines, MLIS
Western University of Health Sciences
Register here: https://chsu.libcal.com/
calendar/scholarlysnippets/ articleversions
Please join us for a 30-minute webinar that is designed to help students, faculty, and staff advance their research skills and support their scholarly activities. Registration is open to anyone interested in attending. All sessions are recorded, posted on our YouTube channel, and emailed to all registrants (so sign-up even if you can’t attend live!).
Reprinted from: NLM Tech Bull. 2022 Nov-Dec;(449):e4. Posted 29 November 2022.
The National Library of Medicine is pleased to announce that proximity search capabilities have been added to PubMed. Users can now search for multiple terms appearing in any order within a specified distance of one another in the [Title] or [Title/Abstract] fields.
To create a proximity search in PubMed, enter terms using the following format:
"search terms"[field:~N]
For example, to search PubMed for citations where the terms "hip" and "pain" appear with no more than two words between them in the Title/Abstract search field, try the search:
Search results may include hip pain, hip-related pain, hip joint pain, hip/groin pain, hip biomechanics and pain, pain after total hip arthroplasty, pain in right hip, and more.
See the PubMed User Guide and view the proximity searching tutorial for more examples and information about proximity searching in PubMed.
Proximity search adds another useful tool to your search toolkit. Searching for the same terms using a variety of techniques (e.g., combining terms with AND, searching for an exact phrase) and comparing the results can help you decide which option(s) to use. Proximity searching can be particularly helpful when searching for concepts that may be represented in multiple ways, or to capture variations of a phrase. For example, you may wish to find information about "healthcare rationing." The proximity search: "rationing healthcare"[tiab:~1] can retrieve citations where this concept appears as "healthcare rationing," "rationing of healthcare," "rationing strategies in healthcare," "rationing limited healthcare," and more.
There is no limit to the number of words you can search together with one proximity operator; however, the more words you include, the narrower your search becomes.
What N value to use will depend on your search. Try changing the N value and comparing the results to find what works best for your search.
A higher N value creates a broader, more comprehensive search; this will typically retrieve more results overall, but some of these results may be less relevant. Using the Boolean operator AND to combine terms may be more appropriate than proximity searching with a large N value.
A lower N value creates a narrower, more precise search; this will typically retrieve fewer results that are highly relevant but may exclude other relevant results.
If N=0, the quoted terms will appear next to each other--with no other words in between.
Yes, proximity searches can be combined with other search terms using Boolean operators, for example:
"standard care"[tiab:~2] AND lung cancer
Multiple proximity searches can also be combined using Booleans within one query, for example:
"standard care"[tiab:~2] AND "hip arthroplasty"[tiab:~1]
No, the order your search terms appear in results cannot be specified in a proximity search in PubMed.
Proximity search is available only in the [Title] and [Title/Abstract] fields.
Yes, you can use the full search field tags [Title] and [Title/Abstract] or the abbreviated search field tags [ti] and [tiab] interchangeably.
Proximity searching is not compatible with truncation (*) in PubMed. If the double quoted terms in a proximity search include a wildcard (*), the proximity operator will be ignored.
Automatic Term Mapping is not applied to proximity searches.
You can combine a phrase search and a proximity search in the same query using Boolean operators; however, it is not possible to specify that an exact phrase appears within a certain distance to other terms.
For example, with the query "acute migraine treatment"[ti:~1] AND "pain management", the terms "acute," "migraine," and "treatment" will appear in the title with no more than one word between them, and the phrase "pain management" can appear anywhere in the record.
The highlighting feature in PubMed does not incorporate query syntax; it uses simple term matching to show words from your query highlighted in bold when those word(s) appear in the search results. Check the full abstract if you are searching in the Title/Abstract field and you don't see the terms from your proximity search highlighted together in the preview "snippet" shown in the summary search results display.
Please view the Proximity Searching tutorial, and see the PubMed User Guide for more information about proximity searching.
If you have questions or feedback about this new feature, please contact the Help Desk using the Help link available at the bottom of every page in PubMed.
