Recent advances in agentic Artificial Intelligence (AI) systems have marked a shift in AI for Science: moving away from the use of individual AI systems for narrow task execution, toward multi-agent systems capable of orchestrating complex, end-to-end research workflows and performing (semi-)autonomous scientific disco...
Nenad Tomasev, Matija Franklin, Atoosa Kasirzadeh et al.· 0 citations
An extension and comprehensive real-world validation of Co-Scientist, a Gemini-based multi-agent system designed to accelerate end-to-end scientific research across hypothesis generation, experimentation, and manuscript generation, demonstrates progress toward closed-loop multi-agent scientific AI systems capable of ac...
Samuel Schmidgall, Xiao-Kai Zhu, Marian Shaw et al.· 2 citations
Advances to the artificial intelligence system AMIE enable it to manage disease across multiple visits while reasoning over a corpus of clinical guidelines and patient history, outperforming primary care physicians on management reasoning tasks.
Perturb-ME, along with agentic interpretation, provide a scalable framework for comprehensive functional discovery from phenotype-enriched genetic screens and combines genome-scale CRISPR screening, phenotype-based enrichment and multimodal single-cell profiling.
Han-Chen Wang, Jiacheng Gu, Chris J. Frangieh et al.· bioRxiv· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
