🔬 "It feels like having a team of 50 people doing all the work in a day." A Gemini-based multi-agent system generates, debates, and evolves scientific hypotheses, even surfacing a drug candidate that blocks 91% of scarring responses in liver fibrosis. Title: Co-Scientist: A multi-agent AI partner to accelerate research URL: 📝 Overview Co-Scientist is a collaborative multi-agent AI built on Gemini that generates, critiques, and refines novel scientific hypotheses. By automating the hypothesis generation and evaluation cycle, it acts as an AI research partner that accelerates breakthrough discovery. ❓ Challenges Solved Amid information overload and increasingly complex problems, researchers struggle to form breakthrough hypotheses. Connecting scattered facts across vast literature to identify promising research directions is hard. 💡 Methodology & Proposed Approach It organizes specialized agents into three phases. ・Generation phase: a Generation agent proposes novel hypotheses grounded in literature and data, and a Proximity agent clusters them to ensure diverse exploration ・Debate phase: a Reflection agent critiques as a virtual peer reviewer, and a Ranking agent prioritizes via pairwise comparison and Elo-based tournaments ・Evolution phase: an Evolution agent continuously refines and combines top hypotheses, and a Meta-review agent synthesizes final research proposals ・Most of the compute goes to verification, cross-checking claims against ChEMBL, UniProt, web search, and specialized tools like AlphaFold 🎯 Use Cases It is applied across life sciences: antimicrobial resistance, plant immunity, liver fibrosis treatment discovery, ALS mechanisms, cellular aging reversal, infectious-disease protein identification, metabolic disease, and aging biology. 📊 Results ・In liver fibrosis, it identified a drug candidate that blocks 91% of scarring-linked responses ・In cellular aging, it generated genetic leads that rejuvenated cells in the lab and cut screening analysis from months to days ・Over 100 institutions tested it, with collaborators including Stanford, MIT, Cambridge, and Calico ・Enterprise versions are deployed at organizations like Daiichi Sankyo, Bayer Crop Science, and U.S. National Labs #AIforScience# #AIAgents#