Searching public domain sources effectively can be daunting. Eighty percent of biomedical data is unstructured, and today's researcher struggles with manual methods for search and analysis amidst the growing volume of relevant data – patents, literature articles, abstracts and more. There are so many different names for any particular gene target, or compound, or disease process, adverse event, side effect. Comprehensive search means using lists of key words. And of course, what is really needed is evidence that a compound is causing an effect, not treating the disease. So, again, key word search doesn’t work well. And there are so many different data sources to search.
Natural Language Processing (NLP), an AI technology, offers scientists and clinicians the opportunity to take a new, but intuitive approach to directly find the vital scientific information they need for rapid, effective decision support.
iScite is an award-winning breakthrough innovation in scientific search, putting the precision and power of Linguamatics AI based text analytics directly into the hands of scientists, without needing NLP specialists. Using an innovative Answer Routing Engine, researchers can rapidly sift through the vast and complex information landscape, directly to the most relevant, business-critical insights.
This webinar will describe the scientific search challenges faced by scientists today, and outline how organizations can take advantage of recent AI advances to get answers to questions (instead of 50,000 documents to read). A live software demonstration will show how search powered by Artificial Intelligence technology quickly lets researchers find patterns and insights in biomedical data - such as drug targets, biomarkers or adverse events - allowing users to drill down and present clear findings across a huge range of diverse and unstructured biomedical data.
What you will learn:
- How AI-powered scientific search, using NLP (natural language processing), gets you to relevant answers
- How scientists can now directly take advantage of the latest breakthroughs in NLP technology in their day-to-day research and development, to speed up scientific search, for drug safety, gene-disease associations, gene variant information, biomarker discovery, patent or clinical trial analytics and more
- How you can gain rapid effective access to NLP over key life science data sources today
Jane Z. Reed, PhD
Director Life Sciences
Jane Reed is Director Life Science at Linguamatics, an IQVIA company. She is responsible for developing the strategic vision for Linguamatics’ product portfolio and business development for the pharma and biotech market. Jane has extensive experience in life sciences informatics. She has worked for more than 20 years in vendor companies supplying data products, data integration and analysis and consultancy to pharma and biotech - with roles at Instem, BioWisdom, Incyte, and Hexagen. Before moving into the life science industry, Jane worked in academia with post-doctoral positions in genetics and genomics research.
Paul Milligan, PhD
Senior Product Manager
Paul Milligan is Senior Product Manager at Linguamatics and has been with the organization since 2005. In this role he has responsibility for all of Linguamatics products, including I2E and iScite, working with customers to solve their big data and unstructured data problems. Paul has a doctorate from University of Cambridge in computational drug design where his work involved developing algorithms to optimize combinatorial libraries for protein-ligand interactions. After graduating, Paul worked in the Cambridge biotech sector, developing and using bioinformatics and chemoinformatics tools for processing of diverse large-scale databases, including PDB, compound registries and PubMed.
Cost: No cost!