Skin-like wearable biosensors for multimodal mental health biomarker monitoring

项目总结 精神障碍影响着全球四分之一的人(约20亿人)，并带来精神健康问题的代价 预计到2030年将达到6万亿美元。不幸的是，精神障碍很难诊断、监测和治疗。 重复触发日常压力也会导致慢性压力，与更高的精神风险相关 疾病、免疫反应减弱和心血管疾病。尽管存在心理健康危机，但仍可获得 资源和获得护理的机会几乎不能满足需求。此外，没有客观的测试或可扩展的 检测慢性压力的技术。为了推进精准的精神卫生保健，我们需要持续、 对压力、焦虑和抑郁的心理状态进行预测性和量化测量。可穿戴式 设备可以改变精神卫生保健，因为它们能够监控以前无法访问的生物数据。然而， 为心理健康监测而设计的可穿戴设备有限。在拟议的研究中，我将解决 基于皮肤的平台技术在心理健康监测中的应用 可穿戴式生物传感器。这项拟议的研究的重点是创造一种柔软的、可穿戴的生物传感器，它可以 无线实时测量多个心理健康生物标记物，提供可量化的指标以帮助 精神障碍的诊断、治疗、监测和预防。将开发两项新技术： 一种柔软的无线贴片，用于测量皮肤上与心理健康相关的物理生物标记物和一种新的有机 生物传感器平台，用于监测汗液中的化学生物标志物。首先，我将设计一个软的无线传感器补丁。 监测皮肤电导对急性应激源和昼夜节律的反应变化。设计的皮肤 电导传感器贴片，由本质上可伸展的柔软材料组成，将提供无缝 与皮肤集成，测量精度高，信噪比高。第二，我会编造一个软性的 利用有机场效应晶体管监测汗液中应激激素的化学生物传感器。一位高度 灵敏、选择性的核酸适体化学生物传感器将应用于类皮肤有机材料体系。两者都有 单独使用和结合使用时，这种类似皮肤的可穿戴系统将允许对精神状态进行持续的量化监测 健康生物标志物，协助预防和治疗精神障碍。尊敬的包振南教授， Leanne Williams教授和斯坦福大学提供了完成以下任务所需的工具和专业知识 拟开展的研究。与包教授合作，他是本质可伸缩领域的领先科学家 材料，我将在有机材料的设计、制造和表征技术方面获得科学技能 材料和生物电子学。此外，在此期间，我将获得与人类受试者合作的经验 博士后培训。出于这个原因，我正在与威廉姆斯教授合作，他是我的共同导师，他是一位 精神病学和行为科学教授。此外，我还将接受精神病学和电学方面的培训 在斯坦福大学学习工程学。该环境提供了实现以下目标所需的专业知识 建议的研究，并为我提供了从事学术研究事业的适当培训。

PROJECT SUMMARY Mental disorders affect one in four people worldwide (~2 billion people), with the cost of mental health conditions projected to reach $6 trillion by 2030. Unfortunately, mental disorders are difficult to diagnose, monitor, and treat. Repeated triggering of daily stress can also lead to chronic stress, associated with higher risks of mental disorders, weakening immuneresponse, and cardiovascular diseases. Despite the mental health crisis, available resources and access to care scarcely begin to meet the need. Moreover, there are no objective tests or scalable technologies for detecting chronic stress. To advance precision mental healthcare, we need continuous, predictive, and quantitative measurements of mental states for stress, anxiety, and depression. Wearable devices can transform mental health care due to their ability to monitor previously inaccessible biodata. However, there are limited wearable devices designed for mental health monitoring. In the proposed research, I will tackle the mentioned problems in mental health monitoring by developing platform technologies based on skin-like wearable biosensors. The focus of the proposed study is to create a soft and wearable biosensor that can measure multiple mental health biomarkers wirelessly in real-time, providing quantifiable metrics to assist diagnosis, treatment, monitoring, and prevention of mental disorders. Two new technologies will be developed: a soft and wireless patch to measure mental health-related physical biomarkers on the skin and a new organic biosensor platform to monitor chemical biomarkers in sweat. First, I will design a soft and wireless sensor patch to monitor skin conductance changes in response to acute stressors and circadian rhythm. The designed skin conductance sensor patch, composed of intrinsically stretchable and soft materials, will provide seamless integration with skin and accurate measurement with high signal-to-noise ratios. Second, I will fabricate a soft chemical biosensor to monitor the stress hormone in sweat using organic field-effect transistors. A highly sensitive and selective aptamer chemical biosensor will be utilized in a skin-like organic material system. Both alone and combined, the skin-like wearable systems will allow continuous quantitative monitoring of mental health biomarkers, assisting in the prevention and treatment of mental disorders. Professor Zhenan Bao, Professor Leanne Williams, and Stanford University provide the tools and expertise needed to accomplish the proposed research. Working with Professor Bao, a leading scientist in the field of intrinsically stretchable materials, I will acquire scientific skills in the design, fabrication, and characterization techniques of organic materials and bioelectronics. In addition, I will gain experience working with human subjects during this postdoctoral training. For this reason, I am working with Professor Williams, my co-mentor, who is a leading professor in psychiatry and behavioral sciences. Moreover, I will obtain training in psychiatry and electrical engineering by taking classes at Stanford. This environment provides the expertise needed to accomplish the proposed research and provide me with the appropriate training to pursue a career in academic research.