Estimating BrAC/BAC from Transdermal Alcohol: Combining First-Principles Physiological Models with Machine-Learning to Create Software to Optimally Process and Quantitatively Interpret Biosensor Data

估算透皮酒精中的 BrAC/BAC：将第一原理生理模型与机器学习相结合，创建软件以优化处理和定量解释生物传感器数据

• 批准号: 10402188
• 负责人: SUSAN E LUCZAK
• 金额: $ 6.57万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-04-01 至 2023-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10402188
• 关键词: Address; Affect; Alcohol abuse; Alcohol consumption; Alcohols; Anxiety; Area; Assimilations; Award; Bacterial Artificial Chromosomes; Behavior; Biosensor; Blood alcohol level measurement; Calibration; California; Career Mobility; Characteristics; Clinical; Clinical Psychology; Clinical Sciences; Code; Communities; Computer software; Consumption; Data; Data Analyses; Data Collection; Data Set; Development; Devices; Diffuse; Doctor of Philosophy; Ethnic Origin; Etiology; Faculty; Feedback; Gender; General Population; Goals; Grant; Health; Heavy Drinking; Individual; Individual Differences; Intervention; Journals; Knowledge; Laboratories; Lead; Learning; Location; Machine Learning; Manuscripts; Mathematics; Measurement; Measures; Mentors; Mentorship; Methodology; Modeling; Monitor; National Institute on Alcohol Abuse and Alcoholism; Outcome; Parents; Participant; Pattern; Peer Review; Population; Populations at Risk; Preparation; Prevention; Process; Protocols documentation; Psychology; Publications; Race; Reading; Research; Research Design; Research Methodology; Research Personnel; Research Support; Research Training; Risk Factors; Running; Sampling; Schools; Science; Series; Skin; System; Techniques; Technology; Testing; Time; Training; Universities; Weight; Work; alcohol research; alcohol response; alcoholism therapy; base; breath alcohol measurement; career; career development; data integration; data quality; diaries; doctoral student; drinking; drinking behavior; emerging adult; ethnic identity; experience; human subject; interest; intersectionality; laboratory experience; mathematical methods; mathematical model; negative affect; physiologic model; population based; portability; pre-doctoral; professor; programs; racial and ethnic; research and development; research study; sensor; sex; skills; symposium; theories; time interval; tool; undergraduate student

This Diversity Supplement award for predoctoral candidate Kyla-Rose Walden under the primary mentorship of Professor Susan Luczak aims to both advance the objectives of the parent R01 AA026238 grant “Estimating BrAC/BAC from Transdermal Alcohol: Combining First-Principles Physiological Models with Machine Learning to Create Software to Optimally Process and Quantitatively Interpret Biosensor Data (PIs Luczak & Rosen)” and to support the research training and career advancement of Ms. Walden in her first 20 months in the University of Southern California clinical sciences psychology doctoral program in the Department of Psychology. The goal of the R01 parent study is to produce software to convert transdermal alcohol concentration (TAC) data into estimates of breath and blood alcohol concentrations (eBrAC/eBAC). Devices are now available to reliably measure TAC, the amount of alcohol diffusing through the skin, but an often overlooked yet critical issue for making these biosensors valuable is that TAC does not consistently correlate with the easily interpretable measures of BrAC/BAC across individuals, environmental conditions, and devices. The anticipated result of this R01 study is the development of the first tool to accomplish the TAC-eBrAC conversion, finally making it possible to obtain interpretable quantitative measurement of naturalistic alcohol consumption in the field. This Supplement will focus on aspects of Aims 2 and 3 of the parent R01, specifically Aim 2b: to examine alternative options for calibrating the models developed by the mathematics team, and Aim 3: to package the models into the BrAC Estimator software program that can be used by non-mathematicians. During the time of this Supplement award, we will collect data on 40 participants who will each participate in a field trial and two laboratory drinking sessions. We also will have 20 researchers and clinicians run our software to process field trial data to determine the ease of its use in research and clinical settings. Ms. Walden will assist with these data collection efforts. In addition, she will receive broader training a) in alcohol theory and real-time (laboratory and field) alcohol research design from mentor/PI Luczak, b) in the basics of mathematical modeling approaches, data integration/consolidation, and MATLAB coding basics from MPI Rosen and Co-I Wang, and c) from Co-Is and research staff on the parent R01 in their given areas of expertise, and d) in preparing first-author manuscripts and presenting her research at conferences. She will use the data she has helped collect to develop her independent research in her first and second years of graduate school. This research is not redundant with the originally proposed outcomes of this R01 study, yet is within the study’s scope. We will extend this master’s level research into her dissertation in her third and fourth years of graduate training as part of an F31 award application. This supplement is appropriate for Ms. Walden’s stage of research development and will contribute intellectually to the R01 research, enhance Ms. Walden’s research skills and knowledge, and provide opportunities for her career development to become a productive researcher who makes substantial and meaningful contributions to the field of alcohol research.

该多样性补充奖授予博士生凯拉-罗斯·瓦尔登 (Kyla-Rose Walden)，主要导师为 Susan Luczak 教授的目标是推进母 R01 AA026238 赠款“估计 透皮酒精中的 BrAC/BAC：第一性原理生理模型与机器学习相结合 创建软件以优化处理和定量解释生物传感器数据（PI Luczak & Rosen）”以及 支持 Walden 女士在大学前 20 个月的研究培训和职业发展 南加州心理学系临床科学心理学博士课程。目标 R01 母研究的目的是开发软件，将透皮酒精浓度 (TAC) 数据转换为 呼吸和血液酒精浓度估计值 (eBrAC/eBAC)。现在可以可靠地使用设备 测量 TAC，即通过皮肤扩散的酒精量，但这是一个经常被忽视但又至关重要的问题 使这些生物传感器有价值的是 TAC 并不总是与易于解释的相关 跨个人、环境条件和设备的 BrAC/BAC 测量。此次的预期结果 R01研究是开发第一个完成TAC-eBrAC转换的工具，最终使之成为可能 获得现场自然酒精消耗的可解释的定量测量。本补充 将重点关注母版 R01 的目标 2 和 3 的各个方面，特别是目标 2b：研究替代方案 校准数学团队开发的模型，目标3：将模型打包到BrAC中 非数学家也可以使用的估算器软件程序。在本次补充奖励期间， 我们将收集 40 名参与者的数据，每名参与者将参加一项现场试验和两次实验室饮酒课程。 我们还将有 20 名研究人员和临床医生运行我们的软件来处理现场试验数据，以确定难易程度 其在研究和临床环境中的应用。瓦尔登女士将协助这些数据收集工作。此外， 她将接受更广泛的培训：a) 酒精理论和实时（实验室和现场）酒精研究设计 来自导师/PI Luczak，b) 数学建模方法、数据集成/合并的基础知识， 和来自 MPI Rosen 和 Co-I Wang 的 MATLAB 编码基础知识，以及 c) 来自 Co-Is 和母公司的研究人员 R01 在其特定的专业领域，以及 d) 准备第一作者手稿并展示她的研究 在会议上。她将利用她帮助收集的数据来开展她的第一次和第二次独立研究。 研究生院第二年。这项研究与最初提出的结果并不多余 R01 研究，但仍在研究范围内。我们将把这个硕士水平的研究延伸到她的论文中 作为 F31 奖项申请一部分的第三年和第四年研究生培训。这个补充很合适 为Walden女士的研究发展阶段提供帮助，并将为R01研究做出智力贡献，增强 瓦尔登女士的研究技能和知识，并为她的职业发展提供机会，使其成为 一位富有成效的研究人员，为酒精研究领域做出了实质性和有意义的贡献。