Congrats and kudos to the winners and those receiving an honorable mention.
From the Official NLM Announcement:
The library’s software development challenge, Show off Your Apps: Innovative Uses of NLM Information, solicited applications that used the library’s data to develop innovative ways for people to obtain and share scientific and medical information. Entrants could create a new app, or submit an existing one. An independent panel of judges chose five winners and five honorable mentions.
On Wednesday, November 2, 2011 live demos of the apps by the developers along with the award ceremony will be webcast live beginning at 9:15am EDST at http://videocast.nih.gov/. U.S. Chief Technology Officer Aneesh Chopra and Health and Human Services Chief Technology Officer Todd Park are scheduled to speak at the event. If you’re unable to watch live an archived version will be available for streaming in the near future.
Now, Here are the Winning Apps and Honorable Mentions (via NLM):
GLAD4U (Gene List Automatically Derived For You) is a new, free web-based gene retrieval and prioritization tool, which takes advantage of the NCBI’s Entrez Programming Utilities (E-utilities). Upon the submission of a query, GLAD4U retrieves the corresponding publications with eSearch before using Pubmed ID-Entrez Gene ID mapping tables provided by the NCBI to create a list of genes. A statistics-based prioritization algorithm ranks those genes into a list that is output to the user, usually within less than a minute. The GLAD4U user interface accepts any valid queries for PubMed, and its output page displays the ranked gene list and information associated with each gene, chronologically-ordered supporting publications, along with a summary of the run and links for file exports and for further functional enrichment analyses.
Learning anatomy interactively with a touchscreen device is dynamic and engaging. Having it as an app, makes the information available anywhere, anytime. iAnatomy is an exciting electronic anatomy atlas for iPhone/iPod touch. The images are interactive and zoomable. If a label is touched, the name of the structure is shown. Images span from the face to the pelvis. The face and neck images and the female pelvis images are reconstructed from data from the National Library of Medicine’s Visible Human Project. iAnatomy is designed to stand on its own and does not require an ongoing internet connection. Learning is reinforced with multiple quiz modes. Latin medical terminology is also included as an option for international use.
The KNALIJ web application addresses the challenges and opportunities posed by ‘big data’ with a new generation of information visualization tools. It offers researchers, students and health consumers alike a technology platform with capabilities to rapidly discover and gain insights from the copious amounts of information being made available from the National Libraries of Medicine (NLM), through its data repositories such as PubMed. KNALIJ recognizes the ‘connections’ linking bio-medical and life sciences research and researchers around the world, and visualizes those linkages. This makes them clear, intuitive, and even playful by providing interactive ‘information communities’ for exploration, analysis, and education.
NLMplus is an innovative semantic search and discovery application developed by WebLib LLC, a small business in Maryland. NLMplus provides enhanced access to the vast collection of health and biomedical information and services made available by the world’s largest medical library, the National Library of Medicine (NLM).
Quertle is an innovative website for searching and investigating the biomedical literature. Quertle uses advanced linguistic methods to find the most relevant documents instead of traditional keyword searching, which often returns an overwhelming list of uninformative articles. Quertle is geared to active life science professionals – both researchers and health care providers – and saves them considerable time and effort in finding the literature they need. Quertle, available on the web using any browser, simultaneously searches multiple sources of life science literature, including MEDLINE.
The BioDigital Human Platform simplifies the understanding of health topics by visualizing anatomy, conditions and treatments. Similar to how geo-browsers such as Google Earth serve as the basis for thousands of location based applications, the BioDigital Human Platform will open up entirely new ways to augment healthcare applications. From the visual representation of concepts found on health portals, to step-by-step virtual guidance for surgical planning, to EHR integration so patients can finally understand their diagnosis, the BioDigital Human Platform will meet the learning demands of 21st century medicine.
DailyMedPlus is an online application providing integrated access to pharmaceutical information available from various databases provided by the National Library of Medicine (NLM). DailyMedPlus offers a high-performance unified search engine providing ranked, highlighted and full-text search results for patients and healthcare professionals who seek updated prescribing information. As the only product of its kind, the application supports searching NLM databases for pharmaceutical products using trade and generic names, medical conditions, indications, contra-indications, side-effects, and also allows for the searching of these products by their physical characteristics (“red round”), providing image results in an in line intuitive layout. Users benefit from comprehensive search results of more than 90,000 products displayed in over 26,000 organized and digitally curated monographs designed for browsing on a wide variety of desktop and mobile platforms.
Drug Diary is an iOS (iPhone / iPod Touch / iPad) application that allows users to quickly build an inventory of prescribed and OTC medications they are currently taking or have taken in the past along with information on the associated prescribers and pharmacies. From there, they are able to take notes outlining their experiences with these medications and generate reports to share with care providers. Data entry is made quick and easy through the use of a locally cached copy of the NLM’s RxTerms dataset and intelligent data entry screens that require little to no typing. The app leverages the data present in RxTerms to allow one tap access to another NLM source, MedLine Plus, which is a web portal that provides detailed information on the medications in the user’s library.
Molecules is a 3-D molecular modeling application for Apple’s iOS devices, including the iPad, iPhone, and iPod touch. It pushes the limits of mobile graphics processors by using advanced techniques to make realistic renderings of molecular models. A touch-based interface allows for intuitive manipulation of these structures, so that they can be viewed from any angle and at any scale. While originally designed for researchers to view and present biomolecule structures on the go, the most popular use of Molecules has proven to be in education. Chemistry teachers are using this application to explain common molecular structures to their students, and biology professors are demonstrating the form and function of biomolecules. Many students already have iOS devices of their own, so they are able to make the lesson more personal by following along on their own iPhone or iPad. The popularity of this approach is seen in the over 1.7 million downloads of this application to date.
Orkov is a Greek term for Hippocratic Oath that medical professionals, especially, physicians take all over the world. Orkov, an iPhone App for iOS 5 platform as well as for Android OS is a productivity smart phone application for hundreds of thousands of medical researchers who are the end users of PubMed.gov data all over the world. Orkov empowers many researchers to search and browse research abstracts and full text research articles from the repository of PubMed.gov’s over 5,000+ research journals. Orkov utilizes publicly available web service interface of PubMed.gov. Majority of the features of PubMed.gov are wrapped into a powerful iPhone/Andorid App that is easy to use and navigate.