Advance human health and wellbeing with Linguamatics NLP text mining
Watch the video
Unlock the hidden insights in healthcare records...
iScite by Linguamatics is our breakthrough innovation in scientific search that puts the precision and power of Linguamatics artificial intelligence (AI) technology directly into the hands of scientists, researchers and other knowledge workers. Bio-IT World Best of Show 2018 award winning product iScite, offers a modern, easy-to-use scientific search engine that provides intuitive access to AI-powered searches across key biomedical data sources and delivers insightful answers to search questions.
Learn more and register to attend the next iScite webinar on September 6. You can also read the iScite datasheet or request to watch the iScite webinar.
Read More
The story of Photo 51, Rosalind Franklin and how genotype-phenotype knowledge is being turned into actionable insights for precision medicine with help from Augmented Intelligence using Natural Language Processing.
Read More
There’s growing interest in the use of machine learning to solve challenges across the drug-discovery pipeline within the biopharmaceutical community. The availability of high quality data for training algorithms is vital to machine learning success - but much of this information is tied up in unstructured, or semi-structured text sources. Natural language processing (NLP) is the key to extracting the wealth of data hidden in unstructured text, and Linguamatics’ customers have been finding out first-hand what this approach can do for them.
Read More
Modern drug safety and pharmacovigilance began in the early 1960s following the thalidomide disaster.
However, the growing cost of drug development is driving pharmaceutical companies to identify potential safety issues earlier in the process. Valuable safety data are available in public databases like MEDLINE® and internal sources such as study reports, project reviews, clinical investigator brochures and case reports, but much of this is unstructured text. Linguamatics I2E platform transforms this text into actionable data that can be rapidly visualized and analyzed at every stage of the drug development process.
Read More
As healthcare continues to shift to value-based care, the use of big data analytics in healthcare and Artificial Intelligence (AI) techniques like Natural Language Processing (NLP) is essential technology for providers and payers as they work to make sense of the growing volume of unstructured data from EHRs, claims, notes, patient-reported outcomes, and social media.
Roughly 80% of clinical data is estimated to be in an unstructured form. NLP-based text analytics platforms like Linguamatics I2E enable unstructured text to be translated into discrete data fields by identifying the key concepts and their relationships in healthcare documentation.
Read More
iScite by Linguamatics is our breakthrough innovation in scientific search that puts the precision and power of Linguamatics artificial intelligence (AI) technology directly into the hands of scientists, researchers and other knowledge workers. Bio-IT World Best of Show 2018 award winning product iScite, offers a modern, easy-to-use scientific search engine that provides intuitive access to AI-powered searches across key biomedical data sources and delivers insightful answers to search questions.
Learn more and register to attend the next iScite webinar on September 6. You can also read the iScite datasheet or request to watch the iScite webinar.
Read MoreThe story of Photo 51, Rosalind Franklin and how genotype-phenotype knowledge is being turned into actionable insights for precision medicine with help from Augmented Intelligence using Natural Language Processing.
Read MoreThere’s growing interest in the use of machine learning to solve challenges across the drug-discovery pipeline within the biopharmaceutical community. The availability of high quality data for training algorithms is vital to machine learning success - but much of this information is tied up in unstructured, or semi-structured text sources. Natural language processing (NLP) is the key to extracting the wealth of data hidden in unstructured text, and Linguamatics’ customers have been finding out first-hand what this approach can do for them.
Read MoreModern drug safety and pharmacovigilance began in the early 1960s following the thalidomide disaster.
However, the growing cost of drug development is driving pharmaceutical companies to identify potential safety issues earlier in the process. Valuable safety data are available in public databases like MEDLINE® and internal sources such as study reports, project reviews, clinical investigator brochures and case reports, but much of this is unstructured text. Linguamatics I2E platform transforms this text into actionable data that can be rapidly visualized and analyzed at every stage of the drug development process.
Read MoreAs healthcare continues to shift to value-based care, the use of big data analytics in healthcare and Artificial Intelligence (AI) techniques like Natural Language Processing (NLP) is essential technology for providers and payers as they work to make sense of the growing volume of unstructured data from EHRs, claims, notes, patient-reported outcomes, and social media.
Roughly 80% of clinical data is estimated to be in an unstructured form. NLP-based text analytics platforms like Linguamatics I2E enable unstructured text to be translated into discrete data fields by identifying the key concepts and their relationships in healthcare documentation.
Read More
