Natural Language Processing and the Challenge of Rare Diseases

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The statistics of rare disease are challenging: there are over 7,000 rare diseases, and around one in 17 people will develop a rare disease. This represents a huge unmet need, as only about 5% of the known rare diseases have a licensed treatment.

To assist with drug development for rare diseases, it’s critical to capture the valuable information buried in unstructured text sources, such as full text literature and medical notes.

Join CCC and Linguamatics on Thursday, November 5 for half hour webinar where we will discuss the value of natural language processing to create the landscape of information around the natural history of disease, pathophysiology, and genotype-phenotype associations; and illustrate with use.

Register here. 

 

Start Learning Now

Capturing key information from a variety of sources and synthesizing into one platform can speed answers to key questions to confront the COVID-19 pandemic. Read more: How Natural Language Processing (NLP) Can Help Us Understand the Landscape of COVID-19 Information

Here is a look at two pharmaceutical use cases where text mining has transformed real world data into real world evidence: 2 Real World Examples: Using Real World Data for Commercial Pharmaceutical Product Insights

Can AI – in the shape of Natural Language Processing – bring value to pharma field’s medical affairs and sales teams? Linguamatics’ Jane Reed investigates in How Natural Language Processing Enhances Sales Productivity in Pharma
Ray Gilmartin

Author: Ray Gilmartin

Ray Gilmartin is Director of Corporate Solutions for Copyright Clearance Center. He is responsible for knowledge management products within the Corporate Business Unit including RightFind Navigate, RightFind Professional, and XML for Mining. Ray has diverse experience in providing innovative tools for the management and distribution of information across multiple industries. Before joining CCC, he served in several leadership roles at Akamai, Avid Technology, and HP after beginning his career in TV journalism roles at Hearst Broadcasting and the Christian Science Monitor. Ray holds an MBA from Boston University and resides in Massachusetts with his wife and two young children.

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