This repository, autonomously updated daily by our Pantheum agent system, collects papers on the applications of LLM-based agents in biology and medicine.
- [2023.11 arXiv] Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab
- [2023.12 Nature] Autonomous chemical research with large language models
- [2024.03 Advanced Science] BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-Inspired Materials
- [2024.03 Preprint] BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
- [2024.04 Preprint] CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments
- [2024.05 Preprint] Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents
- [2024.05 Nature Machine Intelligence] Augmenting large language models with chemistry tools
- [2024.06 Preprint] CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis
- [2024.06 Nature] A multimodal generative AI copilot for human pathology
- [2024.06 Preprint] BioInformatics Agent (BIA): Unleashing the Power of Large Language Models to Reshape Bioinformatics Workflow
- [2024.06 Nature Methods] Omega — harnessing the power of large language models for bioimage analysis
- [2024.06 Preprint] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
- [2024.08 Nature Methods] BioImage.IO Chatbot: a community-driven AI assistant for integrative computational bioimaging
- [2024.10 Preprint] Multimodal learning of transcriptomes and text enables interactive single-cell RNA-seq data exploration with natural-language chats
- [2024.10 Preprint] MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
- [2024.10 Preprint] RNA-GPT: Multimodal Generative System for RNA Sequence Understanding
- [2024.11 Preprint] The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation
- [2024.11 Advanced Science] An AI Agent for Fully Automated Multi-Omic Analyses
- [2024.11 Nature Medicine] Collaboration between clinicians and vision–language models in radiology report generation
- [2024.11 eBioMedicine] Generative AI agents are transforming biology research: high resolution functional genome annotation for multiscale understanding of life
- [2024.11 arXiv] DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
- [2024.12 Advanced Materials] SciAgents: Automating Scientific Discovery Through Bioinspired Multi-Agent Intelligent Graph Reasoning
- [2024.12 Nature Machine Intelligence] LLM-based agentic systems in medicine and healthcare
- [2025.01 arXiv] KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
- [2025.01 arXiv] Agent Laboratory: Using LLM Agents as Research Assistants
- [2023.05 Arquivos Brasileiros de Cirurgia Digestiva] Future of the Language Models in Healthcare: The Role of ChatGPT
- [2023.11 Preprint] A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
- [2024.04 npj Digital Medicine] Evaluating large language models as agents in the clinic
- [2024.05 iScience] The application of large language models in medicine: A scoping review
- [2024.07 Preprint] Empowering Biomedical Discovery with AI Agents
- [2024.07 Nature Medicine] Evaluating the clinical benefits of LLMs
- [2024.07 arXiv] Large Language Models in Healthcare and Medical Domain: A Review
- [2024.10 Cell] Empowering biomedical discovery with AI agents
- [2024.10 JCO Precision Oncology] Expert-Guided Large Language Models for Clinical Decision Support in Precision Oncology
- [2024.11 Preprint] A Review of Large Language Models and Autonomous Agents in Chemistry
- [2024.11 PLOS Digital Health] Large language models in medicine: A review of current clinical trials across healthcare applications
- [2024.12 Computational and Structural Biotechnology Journal] Large language models and their applications in bioinformatics