general

Recent studies highlight the transformative impact of large language models (LLMs) in healthcare, showcasing advancements in predictive modeling, medical imaging, and clinical decision support....

The recent literature emphasizes critical advancements in organ transplantation, chronic disease epidemiology, and emerging technologies influencing healthcare outcomes. Research by Bozkurt et al. (2023)...

Recent advances in artificial intelligence have led to increased interest in utilizing AI for nutrition guidance. However, there is a lack of comprehensive research...

The RGT Digital Twin system revolutionizes personalized treatment for Uterine Carcinosarcoma (UCS) by integrating molecular profiling and large language model (LLM) capabilities. The study...

The performance assessment of Woollie models, developed from pretrained Llama models, demonstrated significant improvements in logic and medical benchmarks. Through stacked alignment and fine-tuning,...

The Results section presents reusable frameworks and tools developed during the design phase of our study, enabling the registration and monitoring of 26 AI...

The collection of references primarily focuses on advancements in machine learning (ML) and large language models (LLMs) in the realm of materials and chemical...

The LLM-Prop framework utilizes a fine-tuned T5 model encoder to predict the physical and electronic properties of crystal materials based on text descriptions of...