Pharmacovigilance - The Natural Graph AI Advantage.
Gathering and Monitoring data from various sources and formats, multiple languages and containing all kinds of information needs an AI that can understand the data without prior training as examples for this kind of work won't be available. NaturalText with its unique graph symbolic AI can do that for the community.
Pharmacovigilance is a continuous public safety study of effects of the medicines. Study includes monitoring, dissecting, assessing, understanding and preventing adverse effects medicines. It also includes efficacy study of the medicines which may not have shown up in clinical trials previously.
This means monitoring a wide variety of sources, extracting data from various formats and languages, and organising the data into structured format so that experts can assess the issues in the drugs already in the market.
Typical NLP or AI methods are not suitable for this as those methods need examples, human curated data and cant handle various in medicine names, multiple formats. Drugs could have generic or chemical names and marketed in different brand names. Handling these requires a lot of manual effort.
NaturalText AI advantage.
Graph AI can understand the jargon, names, technical terms automatically without labelling or training.
No vectors, No embeddings to understand the data.
Clusters the entire data on contextual similarity and ranks on popularity. Allows visibility of trends, issues, reported problems.
Converts the data into a knowledge graph to understand the connections.
Data can be directly fed, without any cleaning, any manual efforts.
Data in all languages can be analyzed. Integrating all formats.
Get the NaturalText Advantage for your analysis needs. Contact info@naturaltext.com