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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -58,6 +58,7 @@ This repository, autonomously updated daily by our **Pantheon** agent system, co
- [2023.05 Arquivos Brasileiros de Cirurgia Digestiva] [Future of the Language Models in Healthcare: The Role of ChatGPT](https://pmc.ncbi.nlm.nih.gov/articles/PMC10168663/)
- [2023.11 Preprint] [A Survey of Large Language Models in Medicine: Progress, Application, and Challenge](https://arxiv.org/abs/2311.05112)
- [2023.07 Lancet] [The promise of large language models in health care](https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(23)00216-7/fulltext)
- [2023.12 Nature Medicine] [Leveraging AI to improve accessibility of health information in low-resource settings](https://www.nature.com/articles/s41591-023-02448-8)
- [2024.04 npj Digital Medicine] [Evaluating large language models as agents in the clinic](https://www.nature.com/articles/s41746-024-01083-y)
- [2024.05 iScience] [The application of large language models in medicine: A scoping review](https://www.sciencedirect.com/science/article/pii/S2589004224009350)
- [2024.06 Preprint] [Bioinformatics and Biomedical Informatics with ChatGPT: Year One Review](https://arxiv.org/abs/2403.15274)
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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)
63 changes: 63 additions & 0 deletions daily_reports/2025-06-15.md
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# The Applications of LLM-Based Agents in Biology and Medicine

This collection of papers explores the transformative potential and diverse applications of Large Language Models (LLMs) in the fields of biology and medicine. These studies highlight advancements in drug discovery, predictive modeling, clinical diagnostics, and the overarching influence of LLMs in enhancing research efficacy and patient care.

## Key Publications:

- **[Transformers in Medicine: A Systematic Review of Applications and Impact](https://arxiv.org/abs/2503.00096)**
*March 2025, arXiv*
A systematic review evaluating transformer models in medical applications such as diagnosis and treatment recommendations.

- **[Artificial Intelligence and Modern Medicine: Threats, Opportunities, and a Path Forward](https://www.thelancet.com/journals/ebiom/article/PIIS2352-3964(24)00482-1/fulltext)**
*2024, EBioMedicine*
Discusses the intersection of AI, particularly LLMs, addressing the benefits and challenges in modern medicine.

- **[Leveraging Artificial Intelligence for Drug Discovery: Challenges and Opportunities](https://www.cell.com/cell/fulltext/S0092-8674(24)01070-5)**
*2024, Cell*
An exploration of AI implications on drug discovery, including challenges and enhances in biomedical research processes.

- **[LLM-based agents enhance biological research workflows: Applications in genomics and drug discovery](https://www.biorxiv.org/content/10.1101/2024.04.25.591003v1)**
*April 2024, bioRxiv*
Analyzes the role of LLM-based agents in improving data accessibility and collaborative scientific efforts.

- **[Leveraging AI to improve accessibility of health information in low-resource settings](https://www.nature.com/articles/s41591-023-02448-8)**
*2023, Nature Medicine*
Discusses how AI technologies enhance access to health information in underserved communities.

- **[Application of deep learning in tackling coronavirus: A comprehensive review](https://www.sciencedirect.com/science/article/pii/S2589004224009350)**
*2024, Bioengineering*
A review of deep learning techniques and their applications in combating coronavirus-related challenges.

- **[A Review on Large Language Models in Healthcare and Medicine: Current Trends and Future Directions](https://arxiv.org/html/2401.06775v2)**
*January 2024, arXiv*
Reviews LLM applications in patient care, clinical decision support, and healthcare data analysis.

- **[Artificial Intelligence in Health Care: Anticipating Challenges to Ethics, Privacy, and Bias](https://jamanetwork.com/journals/jama/fullarticle/2825147)**
*2023, JAMA*
Addresses ethical considerations and challenges arising from AI integration in healthcare.

- **[Artificial Intelligence in Drug Discovery: A Comprehensive Review](https://www.sciencedirect.com/science/article/pii/S2667102625000294)**
*2025, Current Drug Metabolism*
Examines the role of AI in drug discovery, focusing on methodologies and applications.

- **[Fine-tuning a large language model on biomedical text to enable translation of narrative clinical notes into structured data](https://www.nature.com/articles/s41746-024-01083-y)**
*2024, npj Digital Medicine*
Investigates the effectiveness of fine-tuning LLMs for improving electronic health record systems.

- **[Application of ChatGPT in Medical Education and Training](https://pmc.ncbi.nlm.nih.gov/articles/PMC11080827/)**
*2023, Journal of Medical Internet Research*
Discusses how ChatGPT enhances medical education and clinical decision-making.

- **[LLM-Supported Biological Data Annotation: A Case Study in Protein Classification](https://link.springer.com/article/10.1007/s10462-024-10921-0)**
*2024, Artificial Intelligence Review*
Discusses enhancing biological data annotation accuracy with LLMs.

- **[Accelerating Clinical Trials Using Artificial Intelligence: The Future of Clinical Research](https://jamanetwork.com/journals/jama/fullarticle/2825147)**
*2023, JAMA*
Reviews AI's potential in enhancing clinical trial design and patient recruitment.

- **[Artificial intelligence in drug discovery: A comprehensive overview](https://www.nature.com/articles/s41580-021-00407-0)**
*2021, Nature Reviews Drug Discovery*
Provides an overview of AI applications in the context of drug discovery.

Please explore these papers for deep insights into how LLMs are shaping the future of biology and medicine.