Tag:
Cancer Research
AI
Transforming Cancer Research and Oncology with Artificial Intelligence Agents
The integration of Artificial Intelligence (AI) into medicine is rapidly transforming healthcare, leveraging advanced Large Language Models (LLMs) for enhanced clinical decision-making and research....
AI
Harnessing Large Language Models for Automated TNM Staging in Gynecologic Oncology Reports
The study examined discrepancies between ground truth TNM classifications from the Kyoto Record and the Kyoto Registry Dataset across various cancers. For cervical cancer,...
AI
Navigating the Challenges and Exploring the Potential of AI in Systems Biology
In the emerging field of single-cell biology, recent articles discuss innovative approaches to understanding human diseases. Fischer et al. (2025) emphasize adapting systems biology...
AI
An Open-Source Software Pipeline for Extracting Medical Information in Oncology Using Large Language Models
The information extraction (IE) protocol encompasses four stages: problem definition and data preparation, data preprocessing, LLM-based IE, and output evaluation. Designed for clinical researchers...
AI
Personalized Sleep and Fitness Coaching with an Advanced Language Model
In response to the lack of comprehensive datasets in personal health, we developed specialized datasets for evaluating the capabilities of PH-LLM. These include professional...
AI
Revealing the Surprising Power of Large Language Models in Predicting Aging Status
In a groundbreaking study published in Nature Medicine, Li et al. explore the use of large language models (LLMs) for predicting biological age across...
AI
Predicting Biological Age in Large Populations Using Advanced Language Models
The recent literature highlights critical insights into the challenges of aging, emphasizing the intersection of biological, environmental, and genetic factors. Works by Partridge et...
AI
Revolutionizing Transplantation: The Impact of AI, Emerging Technologies, and Xenotransplantation
The recent literature emphasizes critical advancements in organ transplantation, chronic disease epidemiology, and emerging technologies influencing healthcare outcomes. Research by Bozkurt et al. (2023)...