When it comes to treating neurological diseases, the physiological and pathological differences of patients determine each specific preference and a different threshold to withstand neural stimulations. In clinical treatment, it is also impractical to find the best solution for each patient by trial-and-error and exhaustive experimental methods in the face of massive combinations of stimulation modes.
Can artificial intelligence (AI) solve this problem?
Dr. Yanan Sui is eager to find the answer. Sui graduated from Tsinghua University with a bachelor's degree and studied neural plasticity of cortex on the system level at the Institute of Neuroscience, Chinese Academy of Sciences.
Before joining Tsinghua University in 2019, he completed his Ph.D. and post-doctoral research at California Institute of Technology and Stanford University, under the supervision of Professor Joel Burdick, Professor Yisong Yue, and Professor Fei-Fei Li.
For the past ten years, Sui has been working on the interdisciplinary fields of machine learning, neural engineering, and robotics. He has been working with clinical experts to build a new type of treatment system, and developing novel machine learning methods for clinical neuromodulation, treating neurological diseases such as paralysis and Parkinson's disease.
In the medical field, his research results can not only improve the clinical treatment of neurological diseases and allow patients to regain their ability to stand up and grip but also extend to other multi-electrode problems such as deep brain stimulation. In the field of robotics and aerospace, his work can be used on exoskeleton robots and drones, achieving safer operation and more efficient control parameter optimization.
At present, in addition to continuing to expand the above-mentioned scientific research projects, Sui has also initiated new topics related to the privacy protection of medical data, focusing on solving practical challenges when adopting AI in the medical field.
Regarding the future, Dr. Yanan Sui said that he would continue to lead the research team in basic research on machine learning, robotics, and neuromodulation, and promote patient privacy protection and research on medical AI. He will also continue to cooperate with hospitals to conduct clinical and translational research to better serve more patients.