#30 · ML / AI methods
Multi-agent AI systems are automating interpretive and workflow steps in omics and…
The common thread is delegation of interpretive and workflow-construction steps in omics and biomedical research to LLM-based agents. LungChat organizes a hierarchical multi-agent conversational system over multi-omics data and adds DART, which performs direction-aware, cell-type-resolved drug repurposing. GUIA addresses interoperability, using Agent-to-Agent communication so that independently developed scientific agents can collaborate on shared resources. Biomni, published in Science, is a general-purpose biomedical agent that mines tools and protocols from the literature and composes workflows through retrieval-augmented planning. What is new is the coupling of analytic execution to literature-derived knowledge and to coordination among agents. The summaries provided do not report quantitative benchmarks against expert analysts, so performance claims remain unverified here.
Published papers
Autonomous biomedical research with an artificial intelligence agent.
Biomni, a general-purpose LLM-based biomedical agent that mines tools and protocols from literature, composes workflows via retrieval-augmented planning and…
Preprints
A Conversational Multi-Agent AI System for Integrated Multi-Omics Analysis and Biomedical Discovery
LungChat, a hierarchical multi-agent conversational system for multi-omics analysis, adds DART for direction-aware, cell-type-resolved drug repurposing and…
An interoperable research agent network for scientific discovery
GUIA, an interoperable research-agent network using Agent-to-Agent communication, lets independently developed scientific agents collaborate on shared…
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