Empowering biomedical discovery with AI agents

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Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models

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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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Large language models encode clinical knowledge

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DrugBank: a comprehensive resource for in silico drug discovery and exploration

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A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles

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Next-generation characterization of the Cancer Cell Line Encyclopedia

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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

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Training Language Models to Follow Instructions with Human Feedback

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Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

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Fast and accurate protein structure search with Foldseek

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Fast and accurate protein structure search with Foldseek

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Gene expression correlates of clinical prostate cancer behavior

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A Deep Learning Approach to Antibiotic Discovery

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Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning

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Visual instruction tuning

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Zero-shot text-to-image generation

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The ChEMBL database in 2017

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The human cell atlas

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Generative Agents: Interactive Simulacra of Human Behavior

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Large Language Models are Zero-Shot Reasoners

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Large language models are zero-shot reasoners

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A survey on large language model based autonomous agents

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Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens

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Genome-wide association studies

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Scientific discovery in the age of artificial intelligence.

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QLoRA: efficient finetuning of quantized LLMs

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Toward expert-level medical question answering with large language models

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Transfer learning enables predictions in network biology

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Tree of Thoughts: Deliberate Problem Solving with Large Language Models

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Reflexion: Language Agents with Verbal Reinforcement Learning

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A robotic platform for flow synthesis of organic compounds informed by AI planning

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Autonomous chemical research with large language models

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The Drug Repurposing Hub: a next-generation drug library and information resource

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Gemini: A Family of Highly Capable Multimodal Models

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The Rise and Potential of Large Language Model Based Agents: A Survey

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The rise and potential of large language model based agents: a survey

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Drugging the ‘undruggable’ cancer targets

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Large Language Model Based Multi-agents: A Survey of Progress and Challenges

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Self-Consistency Improves Chain of Thought Reasoning in Language Models

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A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis

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Augmenting large language models with chemistry tools

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Code as Policies: Language Model Programs for Embodied Control

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Self-Refine: Iterative Refinement with Self-Feedback

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Evaluating large language models trained on code

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A visual–language foundation model for pathology image analysis using medical twitter

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Direct Preference Optimization: Your Language Model is Secretly a Reward Model

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Machine learning for integrating data in biology and medicine: principles, practice, and opportunities

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Text and Code Embeddings by Contrastive Pre-TrainingPreprint

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A tutorial on conformal prediction

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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

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ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

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Spatial proteomics: a powerful discovery tool for cell biology

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PaLM-E: An Embodied Multimodal Language Model

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ChatGPT for Robotics: Design Principles and Model Abilities

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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

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OpenCell: Endogenous tagging for the cartography of human cellular organization

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Graph of Thoughts: Solving Elaborate Problems with Large Language Models

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Predicting drug response and synergy using a deep learning model of human cancer cells

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Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

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Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

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Holistic Evaluation of Language Models

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Towards FAIR Principles for Research Software

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Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

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Camel: Communicative agents for" mind" exploration of large language model society

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Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

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Direct Preference Optimization: Your Language Model is Secretly a Reward Model

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Inner Monologue: Embodied Reasoning through Planning with Language Models

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Jailbroken: How Does LLM Safety Training Fail?

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Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

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TrustLLM: Trustworthiness in Large Language Models

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MemoryBank: Enhancing Large Language Models with Long-Term Memory

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Can large language models provide useful feedback on research papers? A large-scale empirical analysis

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Mitochondrial fragmentation drives selective removal of deleterious mtDNA in the germline

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Evidential Deep Learning for Guided Molecular Property Prediction and Discovery

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Locating and Editing Factual Associations in GPT

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Slide-tags enables single-nucleus barcoding for multimodal spatial genomics

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GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture

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Voyager: An Open-Ended Embodied Agent with Large Language Models

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MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

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Social Simulacra: Creating Populated Prototypes for Social Computing Systems

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RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

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A Comprehensive Study of Knowledge Editing for Large Language ModelsPreprint

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Discovering Language Model Behaviors with Model-Written Evaluations

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<scp>Genes4Epilepsy</scp>: An epilepsy gene resource

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Large Language Models as Optimizers

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LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

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Optimizing risk-based breast cancer screening policies with reinforcement learning

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A Brief History of the Hypothesis

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ChatDev: Communicative Agents for Software Development

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AgentBench: Evaluating LLMs as Agents

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Translation of Genotype to Phenotype by a Hierarchy of Cell Subsystems

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RecMind: Large Language Model Powered Agent For Recommendation

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Contextual AI models for single-cell protein biology

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Teaching Large Language Models to Self-Debug

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Cognitive Architectures for Language Agents

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Emergent autonomous scientific research capabilities of large language models

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Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems

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ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs

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ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs

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Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks

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Plug in the Safety Chip: Enforcing Constraints for LLM-driven Robot Agents

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Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!Preprint

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Protein design meets biosecurity

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Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for SciencePreprint

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Biological research and self-driving labs in deep space supported by artificial intelligence

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PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

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Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

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Building Cooperative Embodied Agents Modularly with Large Language Models

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TALM: Tool Augmented Language Models

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Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackPreprint

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Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution

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Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

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Epidemic Modeling with Generative Agents

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The Ethics of Interaction: Mitigating Security Threats in LLMsPreprint

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De novo Drug Design using Reinforcement Learning with Multiple GPT Agents

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ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

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Hypothesis Search: Inductive Reasoning with Language ModelsPreprint

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Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future ChallengesPreprint

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Recruitment strategies and lessons learned from a large genetic study of African Americans

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GAIA: a benchmark for General AI Assistants

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Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language AgentsPreprint

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Deep Batch Active Learning for Drug DiscoveryPreprint

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MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

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Multi-Fidelity Active Learning with GFlowNetsPreprint

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Agentic AI: Autonomous intelligence for complex goals–a comprehensive survey

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How to build the virtual cell with artificial intelligence: Priorities and opportunities

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A review of large language models and autonomous agents in chemistry

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The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies

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ProtAgents: protein discovery via large language model multi-agent collaborations combining physics and machine learning

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Digital twins as global learning health and disease models for preventive and personalized medicine

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Evaluating large language models and agents in healthcare: key challenges in clinical applications

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Challenges in AI-driven Biomedical Multimodal Data Fusion and Analysis

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The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation

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Agent design pattern catalogue: A collection of architectural patterns for foundation model based agents

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From screens to scenes: A survey of embodied AI in healthcare

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SpatialAgent: An autonomous AI agent for spatial biologyPreprint

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EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

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Artificial intelligence and machine learning in the development of vaccines and immunotherapeutics—yesterday, today, and tomorrow

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Large language model for knowledge synthesis and AI-enhanced biomanufacturing

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Large Language Models and Their Applications in Drug Discovery and Development: A Primer

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AI Agents and Agentic Systems: Redefining Global it Management

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Engineering crop flower morphology facilitates robotization of cross-pollination and speed breeding

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A foundational architecture for AI agents in healthcare

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The Application of Machine Learning on Antibody Discovery and Optimization

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Empowering Generalist Material Intelligence with Large Language Models

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Large language models for clinical decision support in gastroenterology and hepatology

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A comprehensive survey of AI agents in healthcare

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Artificial intelligence agents in cancer research and oncology

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Does ISO 14001 Boost Energy Firm's Financial Performance? The Moderating Role of Environmental, Social, and Governance

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Generative AI framework for sensory and consumer research

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Unraveling Human-AI Teaming: A Review and OutlookPreprint

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Large Language Models in Critical Care Medicine: Scoping Review

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Agentic AI and the rise of in silico team science in biomedical research

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Advances and critical aspects in cancer treatment development using digital twins

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Large Language Model Agents for Biomedicine: A Comprehensive Review of Methods, Evaluations, Challenges, and Future Directions

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BioAgents: Bridging the gap in bioinformatics analysis with multi-agent systems

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Foundation models for radiology—the position of the AI for Health Imaging (AI4HI) network

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Embodied artificial intelligence in ophthalmology

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Streamline automated biomedical discoveries with agentic bioinformatics

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AI agents in drug discovery: applications and case studies

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Agentic AI for Scientific Discovery: A Survey of Progress, Challenges, and Future Directions

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The rise and potential opportunities of large language model agents in bioinformatics and biomedicine

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Signals in the Cells: Multimodal and Contextualized Machine Learning Foundations for TherapeuticsPreprint

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Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective

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Towards Post-Genomic Oncology: Embracing Cancer Complexity via Artificial Intelligence, Multi-Targeted Therapeutics, Drug Repurposing, and Innovative Study Designs

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Mechanistic dynamic modelling of biological systems: The road ahead

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AI-integrated microfluidics for drug screening: From single cell to organ-on-a-chip

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Artificial intelligence in allergy and immunology: Recent developments, implementation challenges, and the road toward clinical impact

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Structural failure risk assessment of shield tunnel using large language model

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Scaling medical AI across clinical contexts

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Emerging Artificial Intelligence Innovations in Rheumatoid Arthritis and Challenges to Clinical Adoption

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Reimagining psychiatric care with agentic AI: promise, challenges, and a roadmap forward

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Overcoming the blood‒brain barrier: nanomedicine strategies for targeted delivery and multimodal therapy in Alzheimer's disease

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Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses

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Harnessing large language model agents for healthy aging

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Illuminating the universe of enzyme catalysis in the era of artificial intelligence

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Harnessing synthetic biology for sustainable industrial innovation: Advances, challenges, and future direction

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Synergistic Modulation of Microglial Polarization by Acteoside and Ferulic Acid via Dual Targeting of Nrf2 and RORγt to Alleviate Depression‐Associated Neuroinflammation

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ChatMyopia: An AI agent for myopia-related consultation in primary eye care settings

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Deep learning in nuclear medicine: from imaging to therapy

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From Prompt to Drug: Toward Pharmaceutical Superintelligence

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Generalist biological artificial intelligence in modeling the language of life

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Emerging technologies transforming the future of global biosecurity

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PhaSepDB 3.0: a comprehensive knowledgebase of phase separation-related proteins from AI-assisted curation

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The ADePT framework for assessing autonomous laboratory robotics

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A Glossary of Terms in Artificial Intelligence for Healthcare

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Evaluating Critical Success Factors in AI-Driven Drug Discovery Using AHP: A Strategic Framework for Optimization

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Gen AI and research integrity: Where to now?

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Queueing, Predictions, and Large Language Models: Challenges and Open Problems

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From chat to act: large language model agents and agentic AI as the next frontier of AI in rheumatology

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Proceeding artificial intelligence technology towards vaccine designs

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Artificial Intelligence agents for biological research: a survey

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Organic Bioelectronics in Microphysiological Systems: Bridging the Gap Between Biological Systems and Electronic Technologies

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Epistemic responsibility: toward a community standard for human-AI collaborations

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Role of Natural Polymers in Hydrogel-Based Scaffolds for Tissue Engineering Applications

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Agentic Artificial Intelligence: Legal and Ethical Challenges of Autonomous Systems

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Operating advanced scientific instruments with AI agents that learn on the job

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AI-driven discovery of GPNMB CAR T cells as a multi-cancer therapy

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Spike sorting AI agentPreprint

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Will AI become our Co-PI?

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From visual question answering to intelligent AI agents in ophthalmology

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BioContextAI is a community hub for agentic biomedical systems

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Chat Demeter: a multi-agent system for plant disease diagnosis integrating CNN-transformer models

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Transforming clinical medicine with multimodal artificial intelligence, agentic systems, and the model-context protocol: a perspective on future directions

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Medea: An AI agent for therapeutic reasoning across biological contextsPreprint

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Toward Real-time Detection of Drug-induced Liver Injury Using Large Language Models: A Feasibility Study From Clinical Notes

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Bridging BioSciences and technology: The impact of AI & GenAI in life sciences and agribusiness

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Lessons from the Failure of Canada’s Artificial Intelligence and Data Act

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Decoding Immunodeficiencies with Artificial Intelligence: A New Era of Precision Medicine

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Advancing Biomedical Engineering With Artificial Intelligence and Machine Learning: A Systematic Review

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Biomedical AI: Evolving from digital to physical and biological intelligence

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Autonomous biomedical research with an artificial intelligence agent

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AI systems devise hypotheses and ways to test them

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Biomni: A general-purpose biomedical ai agent

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An AI co-scientist to accelerate biomedical research

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SPHINX: An Agentic AI System for Automated Scientific Discovery in Computational Biology

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