Lymba Biopharmaceutical Solutions
Empowering big data for the Pharmaceutical Industry
Pharma is awash with data, and the tools to process unstructured data are barely keeping up. Lymba offers emerging and innovative solutions by applying deep learning, information management, big data engineering and AI in clinical research.
Power up Lymba
Lymba develops the enabling technologies for natural language processing of unstructured text using machine learning for the purpose of data analytics, comparison, and Question-Answering.
Lymba helps you apply natural language processing and enables machine learning for business functions in Drug Discovery, Clinical Research, and Medical Affairs. We can start with a free consultation to understand your opportunities and provide a demo.
Powered by K-Extractor™, Lymba develops the enabling technologies for natural language processing using an array of configurable tools.
Jaguar™
Quickly capture key concepts and relations within patient profiles, eCRFs, lab documents, biomedical literature and other text.
NL2Query™
Democratize access to your Knowledge Graph. Automatically convert an English question into a formal Query to access your knowledge base, eliminating the need for code.
Doc2Graph™
Transform your unstructured data and documents to populate your knowledge graph. Extract named entities and relations to power advanced analytics and Question-Answering.
Chips™
Combine Semantic Search, Ontological Search and Faceted Search to cross reference documents across multiple repositories, allowing you to search by ideas and concepts rather than keyword matches.
HybridQA™
Enhance the quality of knowledge from your data and documents. Integrate the power of K-Extractor™, NL2Query™, and CHiPS™ to ask complicated questions in a conversational format.
Lymba NLP Pharma Solutions
Drug Discovery
Extracting Gene, Diseases & Drugs From Research
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Extract information from scientific literature, research papers, patents, and clinical trial data. Identify potential drug targets by analyzing large amounts of biological data, including gene expression profiles, protein-protein interaction networks, and pathway analysis. Find patterns and correlations that may not be apparent through manual analysis, leading to more effective drug target identification.
Lymba’s NLP platform significantly improves the drug discovery and development process by accelerating the identification of new drug targets, repurposing existing drugs, and optimizing clinical trial design. By leveraging the power of NLP, researchers can identify potential drug candidates more quickly and accurately, ultimately leading to better patient outcomes
Clinical Studies
Centralize & Manage Your Clinical Research Patient Data
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Streamline the collection and analysis of clinical data, improve patient recruitment and retention, and enhance pharmacovigilance measures. Extract and analyze data from unstructured data sources, such as electronic health records and physician notes, to identify potential adverse events, drug interactions, and other safety concerns.
Give researchers the ability to quickly identify safety signals and improve data quality, leading to faster and more accurate clinical trial results. Monitor adverse drug events from disparate data sources, including social media, electronic health records, and patient forums to aggregate actionable knowledge more quickly.
Medical Affairs
Unlock Medical Communications With Real World Evidence
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Improve communication, enhance knowledge management, and optimize decision-making processes. Process and analyze large amounts of medical information, including scientific literature and clinical trial data, to provide accurate and up-to-date information to healthcare professionals and patients.
Monitor adverse drug events and identify safety signals from a variety of data sources. Help improve patient safety by identifying potential safety issues earlier to facilitate prompt action.
