Transinsight's GoPubMed with Social Networking Features for Biomedical Experts

GoPubMedBiomedical research happens in networks of researchers. Social networking web sites like FaceBook, LinkedIn and Xing use personal networks to establish contacts. On these sites, however, connections must be defined by the users themselves. For the first time, GoPubMed now completely and automatically extracts collaboration networks from millions of biomedical science publications. For each concept in the selected semantic background knowledge, GoPubMed's "Hot-Topic-View" shows the collaboration network between top authors in this field of research. Collaboration networks can now be experienced and visualized. GoPubMed also now allows these networks to be searched for possible experts and collaboration partners, a feature which leads to tremendous time saving when searching for appropriate experts. This feature is especially important in a specialized scientific world where it is becoming more and more vital to set up temporary teams of highly specialized experts.

"Some author names like Lee S., Smith J. and Müller C. appear over 20,000 times! We have solved the technical challenge of disambiguating the authors into single individuals with our semantic search technology, which in a way functions like the network of the brain", says Prof. Dr. Michael Schroeder, CSO and co-founder of Transinsight. If two articles share the same author, GoPubMed evaluates their similar properties. The system hereby takes into account that the author of each paper often publishes about similar research topics, with the same co-authors and in the same journals. The research topics are thereby connected to the concepts of the semantic network in the background. The more concepts two articles have in common and the shorter the semantic distance in the network is, the more likely it is that the articles were written by the same person. This approach leads to impressive accuracy. If at any point the system is not correct, it can be corrected by the users.

"GoPubMed is an essential step in significantly easing the finding of complexly networked information", according to Prof. Dr. Michael Brand, Director of the BioInnovation Center in Dresden. "The semantic approach is unparalleled worldwide, and I'm excited that such a development, which would be expected to come from Palo Alto's Stanford University in the Silicon Valley in California, today comes instead from Dresden," says Brand.

For further information, please visit:
www.GoPubMed.com

Related news articles:

About Transinsight
Founded in 2005, Transinsight is focused on software solutions for the life sciences providing products for knowledge-based technologies. The flagship product, www.gopubmed.com, a well established biomedical search engine, is the first knowledge-based search engine for the Life Sciences on the Internet. Transinsight is headquartered in one of the leading German biotech incubators, the BioInnovationCenter Dresden BIOZ, where science and business work under one roof. Transinsight works in close collaboration with the Technical University Dresden. For further information, visit www.transinsight.com.

Most Popular Now

Philips and Medtronic Advocacy Partnersh…

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, and Medtronic Neurovascular, a leading innovator in neurovascular therapies, today announced a strategic advocacy partnership. Delivering timely stroke...

New AI Tool Predicts Protein-Protein Int…

Scientists from Cleveland Clinic and Cornell University have designed a publicly-available software and web database to break down barriers to identifying key protein-protein interactions to treat with medication. The computational tool...

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...