Now Better Searching for Health Professionals

Although a nearly infinite amount of information is nowadays accessible via the Internet, it is not easy to systematically sort out the right information. This problem is addressed by Transinsight GmbH in Dresden, a company that develops knowledge-based search technologies in close cooperation with the Technische Universität Dresden. Now, after a development period of only six months, Transinsight GmbH has created MeSHPubMed, the worldwide first knowledge-based search engine for the medical sciences to be made available on the Internet.

The search platform www.MeSHPubMed.org intelligently searches and, thus, finds the desired results much faster and much more precisely than a standard search engine can. For the first time, the technology for the intelligent search developed by Transinsight GmbH in cooperation with the TU Dresden has been used on the well-known search engine for molecular biologists www.GOPubMed.org.

"Now, medical professionals will be able to work much more efficiently, because they will be able to utilize the search engine MeSHPubMed which sorts the 16 million presently available scientific articles in such a way as is intended by the knowledge network MeSH (Medical Subject Headings), an initiative of the National Library of Medicine, USA," says Dr. Michael R. Alvers, CEO of Transinsight. The search engine allows the search time for relevant scientific information to be drastically reduced. For example, a search for the tumor suppressor protein P53 delivers about 10 million articles through conventional search engines and more than 40,000 articles in the case of standard medical search engines like www.PubMed.org. For the user, it is impossible to browse this quantity of texts. However, with www.MeSHPubMed.org, by means of interactive navigation in the knowledge tree of the MeSH, clicking the hierarchical entries "Diseases" -> "Cardiovascular Diseases" -> "Heart Diseases," means the search results can be restricted so that only six relevant articles are shown. This is a great time saver!

Prof. Dr. Michael Schroeder, co-founder of Transinsight and professor of bioinformatics at the Technische Universität Dresden, is enthused to see the practical use of technologies developed partly within European research projects such as REWERSE, Sealife and EFRE. "We are proud to have developed technologies that reach a speed and precision that currently cannot be achieved by anybody else in the world. Our ultra-fast and very precise algorithms provide an enormous customer benefit: the noticeable shortening of search times! Having already two products online is a good example of a great knowledge transfer between university and industry," says Schroeder.

This fruitful cooperation between Transinsight and the Technische Universität Dresden is based on a cooperation contract. "In Dresden, there is an atmosphere like at Stanford University, at MIT in Boston or at Cambridge University," says Alvers. On this fertile ground, Transinsight GmbH wants to open new horizons. To that end, two new search platforms are already in the beta test. Moreover, with a partner, Transinsight wants to address other areas such as the job search field, because the technology of sorted searching is global and can be used in non-biomedical areas as well.

Related news articles:

About Transinsight
Founded in November 2005, Transinsight is focused on software solutions for the life sciences providing products for knowledge based technologies. The flagship product, GoPubMed, a well established biomedical search engine, was 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 Technische Universität Dresden. For further information, visit: http://www.transinsight.com

About REWERSE
The European Network of Excellence REWERSE is a research project on "Reasoning on the Semantic Web". REWERSE develops rule-based languages and applications to intelligently process data on the conventional and the Semantic Web. REWERSE is funded by the European Commission and Switzerland within the 6th Framework Programme, reference number 506779. The project started in March 2004 and runs for four years. REWERSE networks over 100 researches from 27 research and industry organisations in 14 European countries. For further information, visit: http://rewerse.net

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...