From drug discovery to patent landscape analysis our NLP solutions enable biotech companies to drive value from the 80% of their data hidden in unstructured text.

Drug Development Safety and Pharmacovigilance

The growing cost of drug development is driving pharmaceutical companies to identify potential safety issues earlier in the drug development process.

Regulatory Compliance

The pharmaceutical industry is among the most heavily regulated in the world. Linguamatics Natural Language Processing (NLP) can bring time-saving benefits for regulatory compliance compared to manual efforts, which are often slow and expensive.

Precision Medicine

Precision medicine refers to the ability to tailor treatment to the most appropriate group of patients, either at the clinical level, or within drug discovery and development.
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Real World Data Analytics

Linguamatics Natural Language Processing (NLP) extracts the key facts from structured and unstructured data, transforming real world data into insights for decision making.

Clinical Trial Analytics

Clinical trials are used to gather safety and efficacy data on new drugs in development, or existing drugs being tested for new indications.
Drug Discovery

Drug Discovery

Understanding gene-disease associations, pathways and systems, is critical for drug discovery and basic research. Text mining can access the landscape of relevant information.

Patents Analytics

Patents hold huge volumes of valuable data, for novel chemicals, discoveries, competitor intelligence and more. Text analytics can unlock these valuable data.
Case Studies

Success Stories

Case Study: Examining Rare Disease Biology With Natural Language Processing Text Mining At Takeda
Case study

Case Study: Examining Rare Disease Biology With Natural Language Processing Text Mining At Takeda

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