AI Co-Scientist
Accelerating Scientific Discovery Through Human-AI Collaboration.
The Challenge in Drug Discovery
Traditional drug discovery takes 10-15 years and costs over $2.5 billion, with a failure rate exceeding 90% in clinical trials. The explosion of biomedical data requires a new approach to unlock insights effectively.
See It In Action
Watch a demonstration of how the AI Co-Scientist collaborates and accelerates research.
Our Solution: Generating Novel Scientific Hypotheses
amiko AI Co-Scientist is a multi-agent system that shifts the paradigm from summarizing existing conclusions to generating novel, testable scientific hypotheses. Our system can accelerate the research cycle by 10x and expand the searchable hypothesis space by 100x.
Drug Repurposing
Identifying new therapeutic uses for existing drugs, significantly reducing development time and costs, with a focus on rare diseases.
Novel Target Discovery
Uncovering unknown disease mechanisms by integrating genomics, proteomics, and clinical data to generate original scientific hypotheses.
AI Agent Technology
Our system uses a "generate, debate, and evolve" process with seven collaborative AI agents to continuously improve research hypotheses.
Proven Success: Case Studies
Drug Repurposing for AML
Our system proposed completely novel drug repurposing candidates for Acute Myeloid Leukemia (AML), such as KIRA6, which were validated in in-vitro experiments. This demonstrates our capability to generate promising hypotheses for challenging diseases.
Novel Targets for Liver Fibrosis
We proposed new epigenetic targets for liver fibrosis, validated by anti-fibrotic activity in human hepatic organoids. One target corresponds to an FDA-approved drug, creating an immediate drug repurposing opportunity.
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