Biomedical Datasets

Biomedical datasets are collections of biological and medical data used to train and evaluate machine learning models for various healthcare applications. Current research focuses on improving dataset representativeness, addressing data scarcity through techniques like data augmentation and contrastive analysis, and enhancing the performance and interpretability of models, particularly large language models (LLMs) and neural networks, for tasks such as named entity recognition and question answering. These advancements are crucial for accelerating biomedical discovery, improving diagnostic accuracy, and personalizing treatment strategies, ultimately leading to better patient outcomes.