Educational Background:

1. Ph.D. in Internal Medicine, Zhejiang University, 2017.9 - 2021.3

2. M.S. in Clinical Medicine, Zhejiang University, 2007.9 – 2009.6

3. B.S. in Clinical Medicine, Zhejiang University, 2002.10 – 2007.6

Research and Academic Work Experience:

1. Associate Professor, Zhejiang University, since December 2022.

2. Deputy Chief Physician, Emergency Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, since December 2018.

3. Attending Physician, Emergency Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, October 2016 - December 2018.

4. Resident Physician, Intensive Care Medicine Department, Jinhua Central Hospital, September 2009 - October 2016.

Our team engaged in big data precision treatment research for critical illnesses, we have established a nationwide multicenter sepsis multi-omics database, including imaging omics, transcriptomics, proteomics, clinical omics, etc. We utilized artificial intelligence algorithms to conduct research on precision treatment for sepsis. In the early stages, we closely focused on precision treatment for sepsis and its related complications. Building upon a new classification system for sepsis, we explored precision treatment from various aspects, such as fluid strategy, immune regulation (hormones, ustekinumab), mechanical ventilation, etc. This exploration has, to some extent, altered clinical guidelines and contributed to reducing the mortality rate of sepsis.

The research team has achieved several important original results in this field:

1. Systematic analysis of clinical research and guidelines for critical illnesses, proposing a new model for precise diagnosis and treatment due to the rapid changes and individual differences in critically ill patients.

2. Addressing the significant individual differences in the intervention effectiveness for sepsis, the applicant conducted explorations into the clinical phenotype and genotype of sepsis, discovering several sepsis subtypes conducive to the implementation of precise diagnosis and treatment.

3. Developing a set of machine learning algorithms for the implementation of precise treatment strategies in systematic treatment approaches for sepsis (mechanical ventilation, immune regulation, acid-base balance), contributing to the reduction of clinical mortality rates.

4. Conducting multicenter clinical trials to explore the effectiveness and safety of related intervention strategies, providing high-quality evidence in evidence-based medicine for the implementation of precise diagnosis and treatment plans.

GitHub Project: [zh-zhang1984 (Zhongheng Zhang)](https://github.com/zh-zhang1984)