Browsing by Author "Chen, Huan"
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Item Open Access An explainable COVID-19 detection system based on human sounds.(Smart health (Amsterdam, Netherlands), 2022-12) Li, Huining; Chen, Xingyu; Qian, Xiaoye; Chen, Huan; Li, Zhengxiong; Bhattacharjee, Soumyadeep; Zhang, Hanbin; Huang, Ming-Chun; Xu, WenyaoAcoustic signals generated by the human body have often been used as biomarkers to diagnose and monitor diseases. As the pathogenesis of COVID-19 indicates impairments in the respiratory system, digital acoustic biomarkers of COVID-19 are under investigation. In this paper, we explore an accurate and explainable COVID-19 diagnosis approach based on human speech, cough, and breath data using the power of machine learning. We first analyze our design space considerations from the data aspect and model aspect. Then, we perform data augmentation, Mel-spectrogram transformation, and develop a deep residual architecture-based model for prediction. Experimental results show that our system outperforms the baseline, with the ROC-AUC result increased by 5.47%. Finally, we perform an interpretation analysis based on the visualization of the activation map to further validate the model.Item Open Access Immune checkpoint modulation enhances HIV-1 antibody induction.(Nature communications, 2020-02-19) Bradley, Todd; Kuraoka, Masayuki; Yeh, Chen-Hao; Tian, Ming; Chen, Huan; Cain, Derek W; Chen, Xuejun; Cheng, Cheng; Ellebedy, Ali H; Parks, Robert; Barr, Maggie; Sutherland, Laura L; Scearce, Richard M; Bowman, Cindy M; Bouton-Verville, Hilary; Santra, Sampa; Wiehe, Kevin; Lewis, Mark G; Ogbe, Ane; Borrow, Persephone; Montefiori, David; Bonsignori, Mattia; Anthony Moody, M; Verkoczy, Laurent; Saunders, Kevin O; Ahmed, Rafi; Mascola, John R; Kelsoe, Garnett; Alt, Frederick W; Haynes, Barton FEliciting protective titers of HIV-1 broadly neutralizing antibodies (bnAbs) is a goal of HIV-1 vaccine development, but current vaccine strategies have yet to induce bnAbs in humans. Many bnAbs isolated from HIV-1-infected individuals are encoded by immunoglobulin gene rearrangments with infrequent naive B cell precursors and with unusual genetic features that may be subject to host regulatory control. Here, we administer antibodies targeting immune cell regulatory receptors CTLA-4, PD-1 or OX40 along with HIV envelope (Env) vaccines to rhesus macaques and bnAb immunoglobulin knock-in (KI) mice expressing diverse precursors of CD4 binding site HIV-1 bnAbs. CTLA-4 blockade augments HIV-1 Env antibody responses in macaques, and in a bnAb-precursor mouse model, CTLA-4 blocking or OX40 agonist antibodies increase germinal center B and T follicular helper cells and plasma neutralizing antibodies. Thus, modulation of CTLA-4 or OX40 immune checkpoints during vaccination can promote germinal center activity and enhance HIV-1 Env antibody responses.Item Open Access Polymorphisms in the ERCC5 gene and risk of esophageal squamous cell carcinoma (ESCC) in Eastern Chinese populations.(PloS one, 2012-01) Zhu, Mei-Ling; Shi, Ting-Yan; Hu, Hai-Chuan; He, Jing; Wang, Mengyun; Jin, Li; Yang, Ya-Jun; Wang, Jiu-Cun; Sun, Meng-Hong; Chen, Huan; Zhao, Kuai-Le; Zhang, Zhen; Chen, Hai-Quan; Xiang, Jia-Qing; Wei, Qing-YiBACKGROUND: Excision repair cross complementing group 5 (ERCC5 or XPG) plays an important role in regulating DNA excision repair; its functional single nucleotide polymorphisms (SNPs) may alter DNA repair capacity and thus contribute to cancer risk. METHODOLOGY/PRINCIPAL FINDINGS: In a hospital-based case-control study of 1115 esophageal squamous cell carcinoma (ESCC) cases and 1117 cancer-free controls, we genotyped three potentially functional SNPs of ERCC5 (SNPs, rs2296147T>C, rs2094258C>T and rs873601G>A) and estimated crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for their associations with risk of ESCC using unconditional logistic regression models. We also calculated false-positive report probabilities (FPRPs) for significant findings. We found that compared with the TT genotype, ERCC5 rs2296147 C variant genotypes were associated with a significantly lower ESCC risk (CT: adjusted OR = 0.76, 95% CI = 0.63-0.93, CT/CC: adjusted OR = 0.80, 95% CI = 0.67-0.96); however, this risk was not observed for the other two SNPs (rs2094258C>T and rs873601 G>A), nor in further stratification and haplotype analysis. CONCLUSIONS/SIGNIFICANCES: These findings suggested that ERCC5 polymorphisms may contribute to risk of ESCC in Eastern Chinese populations, but the effect was weak and needs further validation by larger population-based case-control studies.Item Open Access Smoking Cessation System for Preemptive Smoking Detection.(IEEE internet of things journal, 2022-03) Maguire, Gabriel; Chen, Huan; Schnall, Rebecca; Xu, Wenyao; Huang, Ming-ChunSmoking cessation is a significant challenge for many people addicted to cigarettes and tobacco. Mobile health-related research into smoking cessation is primarily focused on mobile phone data collection either using self-reporting or sensor monitoring techniques. In the past 5 years with the increased popularity of smartwatch devices, research has been conducted to predict smoking movements associated with smoking behaviors based on accelerometer data analyzed from the internal sensors in a user's smartwatch. Previous smoking detection methods focused on classifying current user smoking behavior. For many users who are trying to quit smoking, this form of detection may be insufficient as the user has already relapsed. In this paper, we present a smoking cessation system utilizing a smartwatch and finger sensor that is capable of detecting pre-smoking activities to discourage users from future smoking behavior. Pre-smoking activities include grabbing a pack of cigarettes or lighting a cigarette and these activities are often immediately succeeded by smoking. Therefore, through accurate detection of pre-smoking activities, we can alert the user before they have relapsed. Our smoking cessation system combines data from a smartwatch for gross accelerometer and gyroscope information and a wearable finger sensor for detailed finger bend-angle information. We compare the results of a smartwatch-only system with a combined smartwatch and finger sensor system to illustrate the accuracy of each system. The combined smartwatch and finger sensor system performed at an 80.6% accuracy for the classification of pre-smoking activities compared to 47.0% accuracy of the smartwatch-only system.Item Open Access Theoretically Guided Iterative Design of the Sense2Quit App for Tobacco Cessation in Persons Living with HIV.(International journal of environmental research and public health, 2023-02) Schnall, Rebecca; Trujillo, Paul; Alvarez, Gabriella; Michaels, Claudia L; Brin, Maeve; Huang, Ming-Chun; Chen, Huan; Xu, Wenyao; Cioe, Patricia AThe use of mobile health (mHealth technology) can be an effective intervention when considering chronic illnesses. Qualitative research methods were used to identify specific content and features for a mobile app for smoking cessation amongst people living with HIV (PWH). We conducted five focus group sessions followed by two Design Sessions with PWH who were or are currently chronic cigarette smokers. The first five groups focused on the perceived barriers and facilitators to smoking cessation amongst PWH. The two Design Sessions leveraged the findings from the focus group sessions and were used to determine the optimal features and user interface of a mobile app to support smoking cessation amongst PWH. Thematic analysis was conducted using the Health Belief Model and Fogg's Functional Triad. Seven themes emerged from our focus group sessions: history of smoking, triggers, consequences of quitting smoking, motivation to quit, messages to help quit, quitting strategies, and mental health-related challenges. Functional details of the app were identified during the Design Sessions and used to build a functional prototype.