• Generalization of Machine Learning Approaches to Identify Notifiable Diseases Reported from a Statewide Health Information Exchange 

  Dexter, Gregory; Kasthurirathne, Suranga; Dixon, Brian E.; Grannis, Shaun (MEDINFO Conference proceedings, 2019-08-25)
• Evaluating Two Approaches for Parameterizing the Fellegi-Sunter Patient Matching Algorithm to Optimize Accuracy 

  Grannis, Shaun; Kasthurirathne, Suranga; Bo, Na; Huiping, Xu (Medinfo conference proceedings, 2019-08-25)
• HIV Vaccine Mystery and Viral Shell Disorder 

  Goh, Gerard Kian-Meng; Dunker, A. Keith; Foster, James A.; Uversky, Vladimir N. (MDPI, 2019-05)

  Hundreds of billions of dollars have been spent for over three decades in the search for an effective human immunodeficiency virus (HIV) vaccine with no success. There are also at least two other sexually transmitted ...
• Implementing Guided Inquiry Learning and Measuring Engagement Using an Electronic Health Record System in an Online Setting 

  Purkayastha, Saptarshi; Surapaneni, Asha Kiranmayee; Maity, Pallavi (Academic Conferences International Limited, 2018-11)

  In many courses, practical hands-on experience is critical for knowledge construction. In the traditional lab setting, this construction is easy to observe through student engagement. But in an online virtual lab, there ...
• Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria 

  Purkayastha, Saptarshi; Allam, Roshini; Maity, Pallavi; Gichoya, Judy W. (The Korean Society of Medical Informatics, 2019-04)

  Objectives: Open-source Electronic Health Record (EHR) systems have gained importance. The main aim of our research is to guide organizational choice by comparing the features, functionality, and user-facing system ...
• Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules 

  Yao, Xiaohui; Yan, Jingwen; Liu, Kefei; Kim, Sungeun; Nho, Kwangsik; Risacher, Shannon L.; Greene, Casey S.; Moore, Jason H.; Saykin, Andrew J.; Shen, Li; Alzheimer’s Disease Neuroimaging Initiative (Oxford University Press, 2017-10-15)

  Motivation: Network-based genome-wide association studies (GWAS) aim to identify functional modules from biological networks that are enriched by top GWAS findings. Although gene functions are relevant to tissue context, ...
• PSIP1/p75 promotes tumorigenicity in breast cancer cells by promoting the transcription of cell cycle genes 

  Singh, Deepak K.; Gholamalamdari, Omid; Jadaliha, Mahdieh; Li, Xiao Ling; Lin, Yo-Chuen; Zhang, Yang; Guang, Shuomeng; Hashemikhabir, Seyedsasan; Tiwari, Saumya; Zhu, Yuelin J.; Khan, Abid; Thomas, Anu; Chakraborty, Arindam; Macias, Virgilia; Balla, Andre K.; Bhargava, Rohit; Janga, Sarath Chandra; Ma, Jian; Prasanth, Supriya G.; Lal, Ashish; Prasanth, Kannanganattu V. (Oxford University Press, 2017-10-01)

  Breast cancer (BC) is a highly heterogeneous disease, both at the pathological and molecular level, and several chromatin-associated proteins play crucial roles in BC initiation and progression. Here, we demonstrate the ...
• Deep Top-Down Proteomics Using Capillary Zone Electrophoresis-Tandem Mass Spectrometry: Identification of 5700 Proteoforms from the Escherichia coli Proteome 

  McCool, Elijah N.; Lubeckyj, Rachele A.; Shen, Xiaojing; Chen, Daoyang; Kou, Qiang; Liu, Xiaowen; Sun, Liangliang (American Chemical Society, 2018-05-01)

  Capillary zone electrophoresis (CZE)-tandem mass spectrometry (MS/MS) has been recognized as a useful tool for top-down proteomics. However, its performance for deep top-down proteomics is still dramatically lower than ...
• Data Integration and Interoperability for Patient-Centered Remote Monitoring of Cardiovascular Implantable Electronic Devices 

  Daley, Carly; Toscos, Tammy; Mirro, Michael (MDPI, 2019-03-17)

  The prevalence of cardiovascular implantable electronic devices with remote monitoring capabilities continues to grow, resulting in increased volume and complexity of biomedical data. These data can provide diagnostic ...
• Erratum to: Providing Patients with Implantable Cardiac Device Data through a Personal Health Record: A Qualitative Study 

  Daley, Carly N.; Chen, Elizabeth M.; Roebuck, Amelia E.; Ghahari, Romisa Rohani; Sami, Areej F.; Skaggs, Cayla G.; Carpenter, Maria D.; Mirro, Michael J.; Toscos, Tammy R. (Thieme Medical Publishers, 2017-10)
• Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data 

  Yan, Jingwen; Risacher, Shannon L.; Shen, Li; Saykin, Andrew J. (Oxford University Press, 2018-11-27)

  In the past decade, significant progress has been made in complex disease research across multiple omics layers from genome, transcriptome and proteome to metabolome. There is an increasing awareness of the importance of ...
• Overcoming the Maternal Care Crisis: How Can Lessons Learnt in Global Health Informatics Address US Maternal Health Outcomes? 

  Kasthurirathne, Suranga N; Mamlin, Burke W; Purkayastha, Saptarshi; Cullen, Theresa (AMAI, 2018-04-16)

  Despite unprecedented spending, US maternal outcomes have worsened drastically over the past decade. In comparison, maternal outcomes of many Low and Middle-Income Countries (LMIC) have improved. Lessons learnt by their ...
• Joint Exploration and Mining of Memory-Relevant Brain Anatomic and Connectomic Patterns via a Three-Way Association Model 

  Yan, Jingwen; Liu, Kefei; Li, Huang; Amico, Enrico; Risacher, Shannon L.; Wu, Yu-Chien; Fang, Shiaofen; Sporns, Olaf; Saykin, Andrew J.; Goñi, Joaquín; Shen, Li (IEE, 2018-04)

  Early change in memory performance is a key symptom of many brain diseases, but its underlying mechanism remains largely unknown. While structural MRI has been playing an essential role in revealing potentially relevant ...
• The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics with bigger data and wider applications 

  Wu, Zhijin; Yan, Jingwen; Wang, Kai; Liu, Xiaoming; Guo, Yan; Zhi, Degui; Ruan, Jianhua; Zhao, Zhongming (Biomed Central, 2019-02-04)

  The sixth International Conference on Intelligent Biology and Medicine (ICIBM) took place in Los Angeles, California, USA on June 10-12, 2018. This conference featured eleven regular scientific sessions, four tutorials, ...
• Top-down Mass Spectrometry Analysis of Human Serum Autoantibody Antigen-Binding Fragments 

  Wang, Zhe; Liu, Xiaowen; Muther, Jennifer; James, Judith A.; Smith, Kenneth; Wu, Si (Springer Nature, 2019-02-20)

  Detecting autoimmune diseases at an early stage is crucial for effective treatment and disease management to slow disease progression and prevent irreversible organ damage. In many autoimmune diseases, disease-specific ...
• Best Practices for Health Informatician Involvement in Interprofessional Health Care Teams 

  Holden, Richard J.; Binkheder, Samar; Patel, Jay; Viernes, Sara Helene P. (Thieme, 2018-01)

  Academic and nonacademic health informatics (HI) professionals (informaticians) serve on interprofessional health care teams with other professionals, such as physicians, nurses, pharmacists, dentists, and nutritionists. ...
• Systematic review of smartphone-based passive sensing for health and wellbeing 

  Cornet, Victor P.; Holden, Richard J. (Elsevier, 2018-01)

  OBJECTIVE: To review published empirical literature on the use of smartphone-based passive sensing for health and wellbeing. MATERIAL AND METHODS: A systematic review of the English language literature was performed ...
• Engaging Older Adults in the Participatory Design of Intelligent Health Search Tools 

  Martin-Hammond, Aqueasha; Vemireddy, Sravani; Rao, Kartik (ACM, 2018-05)

  Engaging older adults (adults 65+) in technology design can be challenging. At the same time, it is becoming ever more important to ensure inclusion of diverse perspectives in design research. Several strategies currently ...
• An effective method to reduce the interplay effects between respiratory motion and a uniform scanning proton beam irradiation for liver tumors: A case study 

  Akino, Yuichi; Wu, Huanmei; Oh, Ryoong-Jin; Das, Indra J. (Wiley, 2019-01)

  PURPOSE: For scanning particle beam therapy, interference between scanning patterns and interfield organ motion may result in suboptimal dose within target volume. In this study, we developed a simple offline correction ...
• Human factors analysis, design, and evaluation of Engage, a consumer health IT application for geriatric heart failure self-care 

  Srinivas, Preethi; Cornet, Victor; Holden, Richard (Taylor & Francis:, 2017)

  Human factors and ergonomics (HFE) and related approaches can be used to enhance research and development of consumer-facing health IT systems, including technologies supporting the needs of people with chronic disease. ...

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