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Daily README Update #57

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5 changes: 4 additions & 1 deletion README.md
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- [2025.03 Preprint] [IAN: An Intelligent System for Omics Data Analysis and Discovery](https://www.biorxiv.org/content/10.1101/2025.03.06.640921v1)
- [2025.03 Preprint] [PharmAgents: Building a Virtual Pharma with Large Language Model Agents](https://arxiv.org/abs/2503.22164)
- [2025.03 Preprint] [CompBioAgent: An LLM-powered agent for single-cell RNA-seq data exploration](https://www.biorxiv.org/content/10.1101/2025.03.17.643771v1)
- [2025.03 Journal of King Saud University - Computer and Information Sciences] [Integrating Natural Language Processing and Computer Vision for the Automated Diagnosis of Diabetic Retinopathy](https://www.sciencedirect.com/science/article/pii/S2001037024003209)
- [2025.03 arXiv] [LLM-based Agents for Medical Knowledge Acquisition](https://arxiv.org/abs/2501.06271)
- [2025.03 BMC Medical Informatics and Decision Making] [A Novel Large Language Model-Based Conversational Agent for Medical Decision Support: A Qualitative Evaluation Study](https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02600-5)

## Benchmarks

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- [2024.09 Artificial Intelligence Review] [Large language models in medical and healthcare fields: applications, advances, and challenges](https://link.springer.com/article/10.1007/s10462-024-10921-0)
- [2024.12 Nature Cancer] [How AI agents will change cancer research and oncology](https://www.nature.com/articles/s43018-024-00861-7)
- [2025.02 The Lancet] [The rise of agentic AI teammates in medicine](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(25)00202-8/abstract)
- [2025.03 Trends in Biotechnology] [Large language model for knowledge synthesis and AI-enhanced biomanufacturing](https://www.cell.com/trends/biotechnology/fulltext/S0167-7799(25)00045-9#:~:text=LLMs%20empower%20metabolic%20models%20to,gain%20new%20insights%20and%20predictions)
- [2025.03 Trends in Biotechnology] [Large language model for knowledge synthesis and AI-enhanced biomanufacturing](https://www.cell.com/trends/biotechnology/fulltext/S0167-7799(25)00045-9#:~:text=LLMs%20empower%20metabolic%20models%20to,gain%20new%20insights%20and%20predictions)
29 changes: 29 additions & 0 deletions daily_reports/2025-08-17.md
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# The Applications of LLM-Based Agents in Biology and Medicine

The integration of large language models (LLMs) into biological and medical fields has paved the way for innovative approaches in diagnosis, decision-making, and research. This collection of papers illustrates the various applications and impacts of LLM-based agents, showcasing their potential to revolutionize patient care and scientific inquiry.

### Papers

- **[Integrating Natural Language Processing and Computer Vision for the Automated Diagnosis of Diabetic Retinopathy](https://www.sciencedirect.com/science/article/pii/S2001037024003209)**
*Journal: Journal of King Saud University - Computer and Information Sciences*
Summary: Explores the combination of NLP and computer vision to automate the diagnosis of diabetic retinopathy, addressing the challenges of using LLMs in clinical data interpretation.

- **[LLM-based Agents for Medical Knowledge Acquisition](https://arxiv.org/abs/2501.06271)**
*Journal: arXiv*
Summary: Analyzes how LLM-based agents can assist healthcare professionals in interpreting medical literature and acquiring knowledge from extensive datasets.

- **[A Novel Large Language Model-Based Conversational Agent for Medical Decision Support: A Qualitative Evaluation Study](https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02600-5)**
*Journal: BMC Medical Informatics and Decision Making*
Summary: Evaluates a conversational agent designed to aid medical decision-making, assessing its usability and potential impact in clinical environments using qualitative user feedback.

- **[Artificial Intelligence in Healthcare: Are We Ready to Reap the Benefits?](https://www.sciencedirect.com/science/article/pii/S2667102622000717)**
*Journal: Frontiers in Digital Health*
Summary: Discusses the readiness of healthcare systems for AI integration and examines the challenges and improvements in patient outcomes associated with AI technologies.

- **[LLM-based Agents for Automating Molecular Biology Tasks](https://www.nature.com/articles/s41746-025-01872-z)**
*Journal: Nature Medicine*
Summary: Evaluates LLM applications in automating molecular biology tasks, enhancing researchers' capabilities in data interpretation and experimental design.

- **[Large Language Models as Behavioral Models for Biologists](https://arxiv.org/abs/2307.00067)**
*Journal: arXiv*
Summary: Highlights the potential of LLMs to serve as behavioral models for biologists, aiding in data analysis, experimental design, and hypothesis generation.