Knowledge Graph for Life Sciences

Data in Graph - Visualise, Understand - Make Decisions

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Research, Practicing and understanding life sciences data is not about solving a single issue. Thus there can't be a single solution or an application that can be imagined or created. 

Lot of researchers miss this point. There are innumerable problems and uncountable data collections, tests, labs, research notes and publications. Thus what we need is a way to see and understand the data. How the data is connected, what are relationships, how data is transformed, how each piece of information influences others, so on is the one needed. 

Based on the needs of the research or practices such as precision medicine, professionals can come to a conclusion.  

This is the ultimate result of NaturalText's Knowledge graph. Built and maintained by AI, explored and used by researchers, scientists and professionals. 

 

Ontologies - NaturalText AI automatically groups and extracts ontologies in both flat and hierarchical format. Thus there is no manual work or verification is needed. Variations in names, phrases are automatically added.  

Graph Database - Comes with NaturalText AI based graph database. A high throughput database with AI powered indexing and analysis, offers reasoning with unprecedented accuracy.  

API Access - With SaaS based API access, integrating with other tools or existing inhouse tools, dashboards is easy. 

Visualization - Offers visualization to explore and understand the relationships and make conclusions. 

Integration - As there is no binary model, exporting the results into any other tools/application is easy. 

Ranking - Finally the ranking of relevant concepts, facts and relationships. This is the pinnacle of the NaturalText AI's features, offering researchers a way to understand the priorities easily. 

 

What are you waiting for? Get in touch with info@naturaltext.com