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

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

A Novel AI-Based Method Reveals How Cell…

Researchers from Tel Aviv University have developed an innovative method that can help to understand better how cells behave in changing biological environments, such as those found within a cancerous...