This cohort study found serum cystatin C, eGFRcys, and eGFRdiff were associated with long-term accelerated frailty trajectories and physical function decline among community-dwelling older people without frailty.

This study used a real-world dataset to investigate the intercity mobility of patients and provided a methodological reference for patient mobility studies, which could help promote the equalization of healthcare resources.

Higher temperature is associated with increased risks of hospital admissions for obstructive nephropathy and early interventions should be taken particularly for the middle-aged and elderly.

We proposed to formulate a new machine learning problem namely the Continuous Domain Adaptation (CDA), through the lens where infinite domains are formed by continuously varying attributes. We built a new benchmark and a novel machine learning framework to tackle the problem. Our method achieves the state-of-the-art performance in the CDA setup.

We discuss the unmet needs in three clinical scenarios for AI applications in skin diseases, and three aspects to improve the performance of AI to help dermatology practice.

We systematically analyze deep learning for sleep ECG papers from the perspectives of data, model, and task. We also discuss their shortcomings, summarize the findings, and highlight potential opportunities.