AI coding benchmarks miss long-term code quality degradation from repeated iterative changes.

Hearing impairment selectively disrupts neural tracking of speech at both short and long temporal scales during multi-speaker listening, while preserving intermediate linguistic processing.

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.