Curate large sets of literature in minutes to reveal relevant papers, genes, variants and diseases of interest. Utilize pre-defined workflows and classify variants using the ACMG-guided database and other public data sets with iPhronesis Ai connectors. Automate clinical reporting with customizable reports for clinical genomics.
Create optimal patient cohorts by integrating EMR’s, doctor’s notes and drug interactions in real-time. Repurpose drugs for new therapeutics utilizing the power of data mining and hidden relationship extraction from natural language processing and advanced machine learning.
Combine disparate data sources such as doctor’s notes, EMR’s and insurance information to create longitudinal patient views and predictive patient outcomes. Cross reference medical notes with CPT codes, ICD codes and more to reveal relevant insights into treatments and patient management.
iPhronesis Ai is data agnostic and can work with any data type where large amounts of structured or unstructured data need to be processed, and insights generated. A user only needs to articulate the types of data to be analyzed, and a contextual domain wrapper and ontologies will be applied to the data for automating knowledge extraction.