Astroagents: a multi-agent ai for hypothesis generation from mass spectrometry data

A system for generating hypotheses from mass spectrometry data, comprising:

• a processor;
• a memory coupled to the processor;
• and
• a storage coupled to the processor, the storage storing instructions that, when executed by the processor, cause the processor to:
• receive mass spectrometry data, one or more research papers, and instructions via a user interface;
• execute a data analyst agent to analyze the mass spectrometry data and identify patterns and unexpected findings;
• execute a planner agent to delegate segments of the mass spectrometry data to a plurality of scientist agents;
• execute the plurality of scientist agents to generate hypotheses based on assigned segments of the mass spectrometry data;
• execute an accumulator agent to consolidate the hypotheses by removing duplicate hypotheses;
• execute a literature review agent to search for and summarize literature relevant to each consolidated hypothesis;
• and
• execute a critic agent to evaluate the consolidated hypotheses and provide feedback to the data analyst agent for iterative refinement.

A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform operations comprising:

• receiving mass spectrometry data and research papers;
• analyzing, via a data analyst agent, the mass spectrometry data to identify patterns;
• delegating, via a planner agent, data segments to a plurality of scientist agents;
• generating, via the plurality of scientist agents, hypotheses based on the delegated data segments;
• consolidating, via an accumulator agent, the generated hypotheses;
• reviewing, via a literature review agent, literature for each consolidated hypothesis;
• evaluating, via a critic agent, the consolidated hypotheses;
• and
• iteratively refining the analysis based on feedback from the critic agent.