Life Science Platform Promotes True Scientific Collaboration

SyynX Solutions GmbHCollexis (OTCBB: CLXS), a leading developer of high-definition search and discovery software, and their German partner, SyynX Solutions, announced they will preview a new life sciences social networking site to representatives from global book publishing and multimedia companies at the Frankfurt Book Fair in Frankfurt, Germany. This online community represents the next generation in social networks. The comprehensive system of pre-populated expert profiles, coupled with the ability to analyze all associated professional connections within the network, allows scientists and researchers across multiple organizations to share data and collaborate in ways never before considered.

Over the next few weeks, a controlled group of research thought leaders are testing the site for a public launch slated for January, when the site's name and web address will be formally released to the public. However, Frankfurt Book Fair attendees can gain access to the site at the companies' joint booth, number 417 in Hall 4.2, at any time during the conference.

Designed to promote collaborative research and development in advancing medical science, the site is the first social networking application to incorporate pre-generated expert profiles of over 1.4 million biomedical experts from more than 150 countries. It currently houses approximately 12 million pre-established network connections, automatically generated from over six million scientific publications from 6,500 journals. Contrary to the first generation social networks like Facebook and LinkedIn, this life science open platform goes to the next level and reflects the real-life activity network of the experts worldwide.

"Social networking isn't just for teenagers. There are a growing number of academics who are finding that online communities are the perfect way to share, collaborate and discuss their work," said Bill Kirkland, Collexis CEO. "But until now, an efficient way to coordinate the abundance of available digital information did not exist. The technology behind our site now makes it possible for researchers to collaborate in a way not previously possible."

"When a researcher logs into the site, available at no-charge, they will immediately see a robust synopsis of their publications, interests and network," added Kirkland. "The depth of this information, encompassing almost every published researcher in the biomedical sciences field worldwide, is what makes the site incredibly powerful. It also serves as a definitive source to identify relationships to others within the community, either by topic or geography."

The social networking site is based on Collexis' proprietary Fingerprint technology, a valuable research tool already employed by organizations such as: Johns Hopkins, The Mayo Clinic, Harvard University and The National Institute of Health.

"Taking the Collexis technology, which has become the platform of choice for leading biomedical companies, and combining it with a free social network application was really the next logical step," said Christian Herzog, MD, CEO of SyynX Solutions. "Thanks to the genius of Martin Schmidt, our chief technology officer, in collaboration with the Collexis leadership, the research community will now be able to instantaneously identify relevant expertise in a specific research area and start collaborating directly. Plus, we see the next generations of this platform expanding beyond biomedical research and into larger, global R&D development efforts."

About Collexis Holdings, Inc.
Collexis Holdings, Inc., a leading developer of High Definition Search and Discovery software since 1999, is headquartered in Columbia, South Carolina (USA) with two subsidiaries; Collexis Inc. in Columbia, South Carolina, USA and Collexis, B.V. in Geldermalsen, The Netherlands. Collexis proprietary technology builds conceptual profiles of text, called Fingerprints, from documents, websites, e-mails and other digitized content and matches them with a comprehensive list of pre-defined "fingerprinted" concepts to make research results more relevant and efficient. This matching of concepts eliminates the ambiguity and lack of priority associated with word searches. The results are often described as "finding needles in many haystacks." Through this novel approach, Collexis can build unique applications to search, index and aggregate information as well as prioritize, trend and predict data based on sources in multiple industries without the limitations of language or dialect. Collexis shares of common stock are traded under the symbol CLXS on the OTC Bulletin Board (OTC BB). For more information, please visit www.collexis.com.

About SyynX Solutions GmbH
SyynX Solutions GmbH is a German software company which focuses on text mining based applications for the areas of life science and health care. Collexis and SyynX are already co-operating closely since almost ten years on the technical and commercial level. The SyynX applications based on the Collexis fingerprint technology are used by customers like universities, pharmaceutical and biotech companies around the world. The text mining applications like the SyynX Knowledge Dashboard helps the user to analyze large text corpora without applying standard search approaches and provides him automatically with expert profiles, trends and knowledge discovery routines. For more information please visit www.syynx.de.

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...