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

European Artificial Intelligence Act Com…

The European Artificial Intelligence Act (AI Act), the world's first comprehensive regulation on artificial intelligence, enters into force. The AI Act is designed to ensure that AI developed and used...

Patient Safety must be Central to the De…

An EPR system brings together different patient information in one place, making it easier to access for healthcare professionals. This information can include patients' own notes, test results, observations by...

Generative AI can Not yet Reliably Read …

It may someday be possible to use Large Language Models (LLM) to automatically read clinical notes in medical records and reliably and efficiently extract relevant information to support patient care...

ChatGPT Shows Promise in Answering Patie…

The groundbreaking ChatGPT chatbot shows potential as a time-saving tool for responding to patient questions sent to the urologist's office, suggests a study in the September issue of Urology Practice®...

Survey: Most Americans Comfortable with …

Artificial intelligence (AI) is all around us - from smart home devices to entertainment and social media algorithms. But is AI okay in healthcare? A new national survey commissioned by...

AI can Help Rule out Abnormal Pathology …

A commercial artificial intelligence (AI) tool used off-label was effective at excluding pathology and had equal or lower rates of critical misses on chest X-ray than radiologists, according to a...

AI Spots Cancer and Viral Infections at …

Researchers at the Centre for Genomic Regulation (CRG), the University of the Basque Country (UPV/EHU), Donostia International Physics Center (DIPC) and the Fundación Biofisica Bizkaia (FBB, located in Biofisika Institute)...

Video Gaming Improves Mental Well-Being

A pioneering study titled "Causal effect of video gaming on mental well-being in Japan 2020-2022," published in Nature Human Behaviour, has conducted the most comprehensive investigation to date on the...

New Diabetes Research Links Blood Glucos…

As part of its ongoing exploration of vocal biomarkers and the role they can play in enhancing health outcomes, Klick Labs published a new study in Scientific Reports - confirming...

Machine learning helps identify rheumato…

A machine-learning tool created by Weill Cornell Medicine and Hospital for Special Surgery (HSS) investigators can help distinguish subtypes of rheumatoid arthritis (RA), which may help scientists find ways to...

New AI Software could Make Diagnosing De…

Although Alzheimer's is the most common cause of dementia - a catchall term for cognitive deficits that impact daily living, like the loss of memory or language - it's not...

A New AI Tool for Cancer

Scientists at Harvard Medical School have designed a versatile, ChatGPT-like AI model capable of performing an array of diagnostic tasks across multiple forms of cancers. The new AI system, described Sept...