Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand improvement in the trends of their disease. PyPI tool handles two biomarkers, hbA1c for diabetes and NP-proBNP for heart failure, to predict the next hospital visit. Predicting improvement in disease is a great hope for patients.

中文翻译：

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人工智能通用生物标志物预测工具

通过体验心肺骤停，开发了人工智能通用生物标志物预测工具，帮助患者了解病情的改善趋势。 PyPI 工具可处理两种生物标记物（用于糖尿病的 hbA1c 和用于心力衰竭的 NP-proBNP），以预测下次就诊。预测疾病的改善对患者来说是一个很大的希望。