System and method for hypothesis and research synthesis using machine learning

A system for hypothesis and research synthesis using machine learning, comprising:

• at least one memory;
• at least one hardware processor coupled with the at least one memory and configured, individually or in combination, to:
• receive a user query requesting a testable hypothesis about a scientific topic;
• classify the user query into a first theoretical framework of a plurality of theoretical frameworks each comprising of terms and principles related to a particular scientific topic;
• generate the testable hypothesis by a first machine learning (ML) model that is configured to:
• receive as inputs:
• the user query, the first theoretical framework, and information from a graph document database comprising data associated with scientific documents;
• generate, as an output, the testable hypothesis that can be evaluated using the first theoretical framework and that does not reiterate a hypothesis or findings from the scientific documents in the graph document database;
• wherein generating the testable hypothesis further comprises calculating a similarity score between the testable hypothesis and the findings from the scientific documents in the graph document database using a mathematical similarity measure, and filtering the testable hypothesis if the similarity score exceeds a threshold;
• and
• output the testable hypothesis via a user interface in response to the user query.

A non-transitory computer readable medium storing thereon computer executable instructions for hypothesis and research synthesis using machine learning, including instructions for:

• receiving a user query requesting a testable hypothesis about a scientific topic;
• classifying the user query into a first theoretical framework of a plurality of theoretical frameworks each comprising of terms and principles related to a particular scientific topic;
• generating the testable hypothesis by a first machine learning (ML) model that is configured to:
• receive as inputs:
• the user query, the first theoretical framework, and information from a graph document database comprising data associated with scientific documents;
• generate, as an output, the testable hypothesis that can be evaluated using the first theoretical framework and that does not reiterate a hypothesis or findings from the scientific documents in the graph document database;
• wherein generating the testable hypothesis further comprises calculating a similarity score between the testable hypothesis and the findings from the scientific documents in the graph document database using a mathematical similarity measure, and filtering the testable hypothesis if the similarity score exceeds a threshold;
• and
• outputting the testable hypothesis via a user interface in response to the user query.