Issue 1: January 2020



As we enter the new decade, the Ingentium team wishes you a successful and prosperous new year!



We have some exciting new developments coming throughout the  new year and we will be using our monthly Ingentium Newsletter to announce these and offer examples, demonstrations and help.


Below is a brief description of our core offerings, the Ingentium Infomation Commons and the Ingentium Knowledge Network.

  See our Newsletter Archive
  The Ingentium Information Commons

Ingentium uses artificial intelligence (AI) to create and curate custom Information Commons for its customers, with a focus on a specific disease or a health topic.  We provide several Open Source public information commons on either disease or health topics.  These are updated several times per day and are freely available for your scientists to use and explore.  They demonstrate the capabilities of our cybernetic curation engine. 

Ingentium experts will work with your domain experts to create one or more information commons tuned to your research topic or disease.  This provides internal users with an up-to-date resource of targeted information as well as important scientific, marketing and business information on competitor develop-ments. 

Your custom knowledge infrastructure can include not only public sources but also licensed data and proprietary information from internal or contract research programs.

Ingentium information commons can also serve as a key res-ource for patient portals and advocacy groups.






  See the full list of our open source disease and health topic magazines
  Ingentium Knowledge Networks

Ingentium uses natural language processing (NLP) and semantic predication to identify links (edges) between the evidence types (nodes) in the information commons (genes, drugs, concepts, anatomy, biological processes, pathways, authors, etc.).


This process creates a very powerful knowledge network that provides extensive browsing, query and machine learning capabilities across the many layers of captured knowledge.  Powered by the Ingentium Biological Knowledge Scaffold, the Knowledge Network can identify links across information sources and provide new insights into the disease or topic of interest.


The example to the left shows a single paper and many of its nodes and edges.

  Learn more about Knowledge Graphs
  See Ingentium in Action!

Ingentium worked with the scientists at the Open Source Pharma Foundation (OSPF) to create their custom Information Commons and Knowledge Network that focuses on tuberculosis (TB).  This includes a TB Information Commons as well as a TB Knowledge Network.  

This free public resource demonstrates the breadth and depth of the resulting content resources that are in active use across the global TB research community. Tools for query and browsing of the TB Information Commons are available to the scientists along with an alerting service that offers daily or weekly updates on the latest news and scientific information.  The TB Knowledge Network can also be searched and browsed.

OSPF has also created an Information Commons and Knowledge Network for Chikungunya virus which is also available on the OSPF dashboard.

The third Information Commons that is available is for Nipah Virus.

This work is being funded in part by a grand from the Wellcome Trust.

  See the entire OSPF/Ingentium curated TB content
  The Ingentium Knowledge Platform  

Ingentium proprietary platform implements state-of-the-art AI and machine learning techniques to develop and curate information commons of disease-focused, high-quality and up-to-date content from a wide variety of sources. 

This platform, the Ingentium Knowledge Platform (IKP), is the result of over 10 years of development, building from a system to build dynamically updated cancer-specific knowledge bases to support personalized oncology.

The IKP is cloud-enabled and scales to encompass any type of digital media and can cover an entire disease or topic and content type.  The IKP implements a classically cybernetic platform that is initially trained by expert human curators, but then grows and learns as it processes the digital universe to build its information commons.

IKP identifies various evidence types in the source materials and creates "rules" to curate and identify key concepts.  All of this information is stored in the information commons which offer browsing and query tools and provide the key source material to create knowledge networks.

  Request our Technology White Paper
  Subscribe to the monthly Ingentium Newsletter  

Interested in your own Information Commons and Knowledge Network



Ingentium Newlsetter - January 2020 -  ISSUE 1

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