collaborators

7 papers

cs.AI2026

An AI agent for treatment reasoning over a biomedical tool universe

Shanghua Gao, Ayush Noori, Richard Zhu +13

Treatment reasoning underpins every therapeutic decision, integrating disease context, comorbidities, medications, contraindications, and evolving biomedical knowledge to select an…

cs.AI2026

A global log for medical AI

Ayush Noori, Aaron E. Boussina, Hai Ho Bich +48

Modern computer systems rely on syslog, a universal protocol that records critical events across heterogeneous infrastructure. Medicine's rapidly growing AI stack has no equivalent…

cs.AI2026

Unifying biomedical knowledge in a modern multimodal graph

Lucas Vittor, Ayush Noori, Iñaki Arango +5

Biomedical knowledge graphs (KGs) are widely used in the life sciences, yet many are derived from unstructured documents and therefore lack schema-level constraints, whereas graphs…

cs.AI2026

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval

Joaquín Polonuer, Lucas Vittor, Iñaki Arango +4

Retrieving evidence for language model queries from knowledge graphs requires balancing broad search across the graph with multi-hop traversal to follow relational links. Similarit…

q-bio.QM2025

Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems

Ayush Noori, Joaquín Polonuer, Katharina Meyer +26

Neurological diseases are the leading global cause of disability, yet most lack disease-modifying treatments. We present PROTON, a heterogeneous graph transformer that generates te…

cs.AI2025

ToolUniverse: An open platform for democratizing AI scientists

Shanghua Gao, Richard Zhu, Pengwei Sui +8

AI scientists are emerging computational systems that serve as collaborative partners in discovery. These systems remain difficult to build because they are bespoke, tied to rigid…