Cover Image

Empowering Biomedical Discovery with AI Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Shanghua, Fang, Ada, Huang, Yepeng, Giunchiglia, Valentina, Noori, Ayush, Schwarz, Jonathan Richard, Ektefaie, Yasha, Kondic, Jovana, Zitnik, Marinka
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
by: Gao, Shanghua, et al.
Published: (2026)

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
by: Su, Xiaorui, et al.
Published: (2024)

Evaluating Relational Reasoning in LLMs with REL
by: Fesser, Lukas, et al.
Published: (2026)

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
by: Gao, Shanghua, et al.
Published: (2025)

Democratizing AI scientists using ToolUniverse
by: Gao, Shanghua, et al.
Published: (2025)

A Generative AI System for Biomedical Data Discovery with Grammar-Based Visualizations
by: Lange, Devin, et al.
Published: (2025)

PhylaFlow: Hybrid Flow Matching in Billera-Holmes-Vogtmann Tree Space for Phylogenetic Inference
by: Ektefaie, Yasha, et al.
Published: (2026)

YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery
by: Lange, Devin, et al.
Published: (2025)

Multimodal Medical Code Tokenizer
by: Su, Xiaorui, et al.
Published: (2025)

Controllable Sequence Editing for Biological and Clinical Trajectories
by: Li, Michelle M., et al.
Published: (2025)

Qworld: Question-Specific Evaluation Criteria for LLMs
by: Gao, Shanghua, et al.
Published: (2026)

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models
by: Huang, Zhongzhan, et al.
Published: (2025)

UniTS: A Unified Multi-Task Time Series Model
by: Gao, Shanghua, et al.
Published: (2024)

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
by: Zhong, Shanshan, et al.
Published: (2023)

Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies
by: Li, Kevin, et al.
Published: (2025)

Ken Utilization Layer: Hebbian Replay Within a Student's Ken for Adaptive Exercise Recommendation
by: Kuling, Grey, et al.
Published: (2025)

OptimusKG: Unifying biomedical knowledge in a modern multimodal graph
by: Vittor, Lucas, et al.
Published: (2026)

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval
by: Polonuer, Joaquín, et al.
Published: (2026)

When Sensors Fail: Temporal Sequence Models for Robust PPO under Sensor Drift
by: Vogt-Lowell, Kevin, et al.
Published: (2026)

MoExtend: Tuning New Experts for Modality and Task Extension
by: Zhong, Shanshan, et al.
Published: (2024)

Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics
by: Zhou, Lianhao, et al.
Published: (2025)

Reinforcement learning on structure-conditioned categorical diffusion for protein inverse folding
by: Ektefaie, Yasha, et al.
Published: (2024)

PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models
by: Velez-Arce, Alejandro, et al.
Published: (2025)

Protein Structure Tokenization via Geometric Byte Pair Encoding
by: Sun, Michael, et al.
Published: (2025)

Multi Scale Graph Neural Network for Alzheimer's Disease
by: Chauhan, Anya, et al.
Published: (2024)

Composable Interventions for Language Models
by: Kolbeinsson, Arinbjorn, et al.
Published: (2024)

Multimodal AI predicts clinical outcomes of drug combinations from preclinical data
by: Huang, Yepeng, et al.
Published: (2025)

DeepEvidence: Empowering Biomedical Discovery with Deep Knowledge Graph Research
by: Wang, Zifeng, et al.
Published: (2025)

STRAND: Sequence-Conditioned Transport for Single-Cell Perturbations
by: Fu, Boyang, et al.
Published: (2026)

Graph Representation Learning in Biomedicine
by: Li, Michelle M., et al.
Published: (2021)

Multi-objective generative AI for designing novel brain-targeting small molecules
by: Noori, Ayush, et al.
Published: (2024)

Generalized Protein Pocket Generation with Prior-Informed Flow Matching
by: Zhang, Zaixi, et al.
Published: (2024)

AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology
by: He, Ting, et al.
Published: (2024)

One Patient, Many Contexts: Scaling Medical AI with Contextual Intelligence
by: Li, Michelle M., et al.
Published: (2025)

Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
by: Zheng, Kangyu, et al.
Published: (2024)

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review
by: Di Ding, et al.
Published: (2025)

Temporal Numeric Planning with Patterns
by: Cardellini, Matteo, et al.
Published: (2024)

Symbolic Pattern Temporal Numeric Planning with Intermediate Conditions and Effects
by: Cardellini, Matteo, et al.
Published: (2026)

Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension
by: Vatsal, Shubham, et al.
Published: (2024)

From Knowledge Representation to Knowledge Organization and Back
by: Giunchiglia, Fausto, et al.
Published: (2023)