17525432. METHODS AND SYSTEMS FOR AUTOMATICALLY GENERATING CRITERIA FOR CLINICAL TRIALS simplified abstract (MICROSOFT TECHNOLOGY LICENSING, LLC)
METHODS AND SYSTEMS FOR AUTOMATICALLY GENERATING CRITERIA FOR CLINICAL TRIALS
Organization Name
MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor(s)
Nut Limsopatham of Bellevue WA (US)
Robin Abraham of Redmond WA (US)
METHODS AND SYSTEMS FOR AUTOMATICALLY GENERATING CRITERIA FOR CLINICAL TRIALS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17525432 titled 'METHODS AND SYSTEMS FOR AUTOMATICALLY GENERATING CRITERIA FOR CLINICAL TRIALS
Simplified Explanation
The patent application describes methods and systems that use machine learning models to automatically generate criteria for different sections of a clinical study protocol document.
- Machine learning models are used to identify medical articles related to the clinical study.
- The models analyze these articles to generate recommended criteria for different sections of the protocol document.
- The generated criteria are based on the analysis of the medical articles.
Potential Applications
This technology has potential applications in the field of clinical research and study protocol development.
Problems Solved
The technology solves the problem of manually generating criteria for different sections of a clinical study protocol document, which can be time-consuming and prone to human error.
Benefits
The use of machine learning models to automatically generate criteria for the protocol document can:
- Save time and effort in the protocol development process.
- Improve the accuracy and consistency of the generated criteria.
- Enhance the efficiency of clinical study design and execution.
Original Abstract Submitted
The methods and systems may automatically generate criteria for the different sections of the protocol document for a clinical study. The methods and systems use machine learning models to identify medical articles that are associated with the clinical study of a protocol document. The machine learning models analyze the medical articles and generate recommended criteria for the different sections of the protocol document based on the analysis.
