MACHINE-LEARNING MODELS TO CREATE, UPDATE, VALIDATE, AND/OR ASSESS THE COMPREHENSIVENESS OF A MECHANISTIC MODEL OF BIOLOGICAL SYSTEMS

    公开(公告)号:US20250061961A1

    公开(公告)日:2025-02-20

    申请号:US18804983

    申请日:2024-08-14

    Applicant: Certara, L.P.

    Abstract: Described herein are systems and methods for producing or editing a mechanistic model of biological systems and/or for validating (e.g., assessing the comprehensiveness of) the mechanistic model. An illustrative method produces and/or edits a mechanistic model using information derived (e.g., generated and/or identified) from a corpus comprising public and/or proprietary scientific literature using a natural language processing (NLP) machine-learning model. Producing a mechanistic model may be or include generating, modifying, extending, and/or annotating the mechanistic model. In some embodiments, a method comprises receiving, by one or more processors of one or more computing devices, a prompt. In some embodiments, the method may further include determining, by the one or more processors, information responsive to the prompt. A mechanistic model may be produced using the information, for example, by a human user.

Patent Agency Ranking