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 is developing the enabling technologies for natural language processing of unstructured text using machine learning for the purpose of data analytics, comparison, and answering.
Lymba will help you apply natural language processing and enable machine learning for business functions in Drug Discovery, Clinical Research, Medical Affairs, and Commercial & Market Access. We can start with a free consultation to understand your opportunities and provide a demo.
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 disparate data sources, including social media, electronic health records, and patient forums. Help improve patient safety by identifying potential safety issues earlier to facilitate prompt action.
