Key insights are hidden in textual data find out how to maximize these assets with our NLP text mining solutions for pharma including: real world data analytics; precision medicine; drug discovery, voice of the customer, clinical trials, drug safety and more.

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.

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.
Voice of the customer data

Voice of the Customer

Voice of the customer (VoC) call feeds can provide a rich source of real world data (RWD). Pharma and healthcare organizations need to understand how their customers (e.g. patients, clinicians) are responding to marketed drugs and gain a broader picture of patient reported outcomes

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.
Scientists reviewing information

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.

Regulatory Compliance

The pharmaceutical industry is among the most heavily regulated in the world. Linguamatics NLP can bring time-saving benefits for regulatory compliance compared to manual efforts, which can be slow and expensive.
Case Studies

Success Stories

Case study: Target selection at AstraZeneca
Case study

Case study: Target selection at AstraZeneca

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