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.

这个多样性补充奖的博士前候选人凯拉-玫瑰瓦尔登下的主要导师 教授苏珊Luczak的目的是既推进父R 01 AA 026238赠款的目标“估计 来自透皮酒精的BrAC/BAC：将第一原理生理模型与机器学习相结合 创建最佳处理和定量解释生物传感器数据的软件（PI Luczak &罗森）”和 支持瓦尔登女士在大学的前20个月的研究培训和职业发展 南加州临床科学心理学博士课程在心理学系。目标 R 01母研究的目的是生产软件，将经皮酒精浓度（TAC）数据转换为 呼气和血液酒精浓度（eBrAC/eBAC）。设备现在可以可靠地 测量TAC，即通过皮肤扩散的酒精量，但这是一个经常被忽视的关键问题， 使这些生物传感器有价值的是，TAC并不总是与易于解释的 BrAC/BAC在个人、环境条件和设备上的测量。预期的结果是， R 01研究是第一个完成TAC-eBrAC转换的工具，最终使其成为可能 以获得可解释的定量测量的自然酒精消费领域。这种补充剂 将重点关注R 01的目标2和目标3，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 非数学家可以使用的估算软件程序。在本补充裁决期间， 我们将收集40名参与者的数据，他们每人将参加一次现场试验和两次实验室饮酒会议。 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， 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，本发明还提供了一种方法， 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）数学建模方法的基础知识，数据集成/整合， 以及MPI罗森和Co-I Wang提供的MATLAB编码基础知识，以及c）Co-Is和研究人员提供的关于父 R 01在其特定的专业领域，以及d）在准备第一作者手稿和介绍她的研究 在会议上。她将使用她帮助收集的数据来发展她的独立研究， 研究生院的第二年。这项研究与最初提出的结果并不多余。 R 01研究，但仍在研究范围内。我们将把这个硕士水平的研究扩展到她的论文中， 第三和第四年的研究生培训作为F31奖学金申请的一部分。这种补充是适当的 瓦尔登女士的研究发展阶段，并将有助于智力的R 01研究，提高 女士瓦尔登的研究技能和知识，并为她的职业发展提供机会，成为 一个富有成效的研究人员谁使酒精研究领域的实质性和有意义的贡献。