用于监测帕金森病的数字生物标志物 | 官远芳博士 - (Mandarin Video Resource)

密歇根大学副教授官远芳博士讨论了机器学习与帕金森病交叉领域的突破性研究。了解她的团队的创新信号处理方法如何为疾病进展的早期检测和客观评估铺平道路。

了解关博士及其研究的更多信息：http://apda.link/Guan

美国帕金森病协会 (APDA) 自豪地投资于最有前途的临床医生和科学项目，重点是发现帕金森病 (PD) 的病因和寻找治疗方法。 APDA 致力于科学研究，一直是许多重大 PD 科学突破的资助合作伙伴，自 1961 年以来在研究方面投资超过 6200 万美元。

作为 APDA 致力于为全国不同社区的帕金森病患者扩大资源的承诺的一部分，我们很高兴能用普通话分享几位 APDA 资助的研究人员的进展。

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Digital Biomarkers for Monitoring Parkinson’s Disease | Dr. Yuanfang Guan

Dr. Yuanfang Guan, an Associate Professor at the University of Michigan, discusses groundbreaking research at the intersection of machine learning and Parkinson's disease. Discover how her team’s innovative approach to signal processing is paving the way for early detection and objective evaluation of disease progression.

Read more about Dr. Guan and her research: http://apda.link/Guan

The American Parkinson Disease Association (APDA) proudly invests in the most promising clinicians and scientific projects focused on the discovery of the cause(s) and finding the cure(s) for Parkinson’s disease (PD). APDA is committed to scientific research and has been a funding partner in many major PD scientific breakthroughs, investing more than $62 million in research since 1961.

As part of APDA’s commitment to expanding resources to people with PD in varied communities across the country, we are excited to share the developments of several APDA-funded researchers in Mandarin Chinese.

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