Service for Discovering New Interactions Between Active Substances in Medical Scientific Publications

AI&ML
NLP
Project goal —
automate the discovery of new interactions between active substances in English-language scientific publications to populate a database that physicians can use when prescribing treatments involving multiple medications
Project objectives:
  • Develop a software concept based on an in-depth understanding of the client's needs
  • Train AI to automatically identify active substances and discover new interactions between them in English-language scientific texts
01
Collaborated with the client to develop the software concept
02
Trained AI to identify the names of active substances in the text
Our achievements
03
AI classifies the types of interactions between active substances mentioned in scientific publications (e.g., substances enhancing each other, canceling each other out, causing adverse side effects when used together, etc.)
Software Concept
Substance Identification
Interaction Classification
Project implementation period: 3 months
Other cases
Let's get to know each other?
Leave a request
© Edge Tech
info@edge-tech.ru
Butlerova Str, 17. Moscow
Company Brand
Intelligent Analytics LLC
By clicking on the button, you consent to the processing of personal data and agree to the privacy policy
Let's get to know each other?
Leave a request
© Edge Tech
info@edge-tech.ru
Butlerova Str, 17. Moscow
Company Brand
Intelligent Analytics LLC
By clicking on the button, you consent to the processing of personal data and agree to the privacy policy