Ping Zhang

Ping Zhang's work sits at the intersection of computer science and healthcare, applying machine learning, deep learning, and text-mining methods to clinical and biomedical data. Recent projects span disease prediction from electronic health records, medical signal analysis (e.g., ECG, sleep staging, brain imaging), large language models for disease reporting, and health-outcomes research including clinical trials and cost-effectiveness modeling. The publication record suggests broad collaboration across clinical specialties, from cardiology and oncology to endocrinology and pulmonology.

Publication output has grown over the last decade, roughly doubling from about 14 papers per year in 2017-2019 to around 40 in 2025, indicating an increasing pace of research activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026