This new series, Innovating Business Through Data, focuses on how Machine Learning, Natural Language Processing, and Robotic Process Automation are changing the face of business. Each post contains a specific use case, the business value derived, and the technology synopsis to achieve the outcome.
Part 1: Scientific Search
Pharma R&D is being revolutionized by Scientific Search. It provides the ability to improve researcher efficiency and the corresponding ability to identify new compounds by enabling search, retrieval, and provisioning of a company’s full body of research information. It can also include the capability to find information related to compounds molecularly similar to the compound being researched to further expand the knowledge base.
This ultimately shortens and enriches the research lifecycle, enabling companies to succeed or fail faster, saving time and money. The semantic search is driven by multiple biological ontologies along with Named Entity Extraction. Technologies used can include GATE, UIMA, OpenNLP, SmartLogic, Sinequa, Weka, R, and Mahout.