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.

该多样性补充奖颁发给博士前候选人凯拉-罗斯·沃尔登，由 苏珊·卢扎克教授的目标是推进家长R01 AA026238赠款的目标 酒精透皮吸收的BAC/BAC：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(Pis Luczak&Rosen)“和 支持沃尔登女士在大学的头20个月里的研究、培训和职业发展 南加州心理学系临床科学心理学博士项目。目标是 R01家长研究的一个目的是生产软件，将经皮酒精浓度(TAC)数据转换为 呼吸和血液酒精浓度的估计(eBrac/ebac)。设备现在可以可靠地 测量TAC，即酒精通过皮肤扩散的量，但对于 使这些生物传感器有价值的是，TAC并不总是与易于解释的 跨个人、环境条件和设备的BRAC/BAC测量。这一预期的结果是 R01研究是第一个完成TAC-eBrAC转换的工具的开发，最终使其成为可能 以获得可解释的野外天然酒精消耗量的定量测量。本副刊 将重点放在母公司R01的目标2和目标3的方面，特别是目标2b：审查 校准数学团队开发的模型，目标3：将模型打包到支架中 非数学家可以使用的估计器软件程序。在本增刊颁奖期间， 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，以确定是否容易 它在研究和临床环境中的使用情况。沃尔登女士将协助这些数据收集工作。此外, 她将在酒精理论和实时(实验室和现场)酒精研究设计方面接受更广泛的培训 来自Mentor/Pi Luczak，b)数学建模方法、数据集成/整合、 和来自MPI Rosen和Co-I Wang的MatLab编码基础知识，以及来自Co-IS和父母研究人员的c) R01在其特定的专业领域，以及d)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在她的第一个和 读研究生的第二年。这项研究与最初提出的这一结果并不多余 R01研究，但不在研究范围之内。我们将把这位硕士的水平研究延伸到她的论文中 作为F31奖项申请的一部分，第三年和第四年的研究生培训。这份副刊很合适。 对于沃尔登女士的研究开发阶段，并将在智力上为R01研究做出贡献，增强 沃尔登女士的研究技能和知识，为她的职业发展提供了机会 在酒精研究领域做出实质性和有意义贡献的多产研究人员。