Leveraging Few-Shot Learning to Overcome Data Scarcity in Biomedical Time Series Applications

Few-shot learning methods can augment AI models with human-like capabilities to learn new tasks with limited examples, overcoming the scarcity of labeled data in biomedical time series applications.