Scholars@Duke
Erich Senin Huang

Erich Senin Huang

Adjunct Assistant Professor in the Department of Surgery
Surgery
erich.huang@duke.edu
Duke Box 2721, Durham, NC 27710
2424 Erwin Road, 9022 Hock Plaza, Durham, NC 27705

Selected Publications

New Approach to Equitable Intervention Planning to Improve Engagement and Outcomes in a Digital Health Program: Simulation Study.

Journal Article JMIR Diabetes · March 15, 2024 BACKGROUND: Digital health programs provide individualized support to patients with chronic diseases and their effectiveness is measured by the extent to which patients achieve target individual clinical outcomes and the program's ability to sustain patien ... Full text Link to item Cite

Identifying a stable and generalizable factor structure of major depressive disorder across three large longitudinal cohorts.

Journal Article Psychiatry Res · March 2024 The Patient Health Questionnaire 9 (PHQ-9) is the current standard outpatient screening tool for measuring and tracking the nine symptoms of major depressive disorder (MDD). While the PHQ-9 was originally conceptualized as a unidimensional measure, it has ... Full text Link to item Cite

Telehealth Fatigue: Is It Real? What Should Be Done?

Journal Article Journal of diabetes science and technology · January 2024 This commentary article discusses the recent trends and changes in popularity of telehealth usage as well as the most recent efforts to redefine telehealth value and usability. Six strategies to improve the patient experience and increase telehealth accept ... Full text Cite

Scalable Strategies to Increase Efficiency and Augment Public Health Activities During Epidemic Peaks.

Journal Article J Public Health Manag Pract · November 2023 OBJECTIVE: Scalable strategies to reduce the time burden and increase contact tracing efficiency are crucial during early waves and peaks of infectious transmission. DESIGN: We enrolled a cohort of SARS-CoV-2-positive seed cases into a peer recruitment stu ... Full text Link to item Cite

Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes.

Journal Article Diabetes Care · July 1, 2023 The past decade of population research for diabetes has seen a dramatic proliferation of the use of real-world data (RWD) and real-world evidence (RWE) generation from non-research settings, including both health and non-health sources, to influence decisi ... Full text Link to item Cite

Diversity, Equity, and Inclusion in Clinical Research: A Path Toward Precision Health for Everyone.

Journal Article Clin Pharmacol Ther · March 2023 Healthcare disparities are a persistent societal problem. One of the contributing factors to this status quo is the lack of diversity and representativeness of research efforts, which result in nongeneralizable evidence that, in turn, provides suboptimal m ... Full text Link to item Cite

A framework for the oversight and local deployment of safe and high-quality prediction models.

Journal Article J Am Med Inform Assoc · August 16, 2022 Artificial intelligence/machine learning models are being rapidly developed and used in clinical practice. However, many models are deployed without a clear understanding of clinical or operational impact and frequently lack monitoring plans that can detec ... Full text Link to item Cite

A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery.

Journal Article Ann Surg · June 1, 2022 OBJECTIVE: To design and establish a prospective biospecimen repository that integrates multi-omics assays with clinical data to study mechanisms of controlled injury and healing. BACKGROUND: Elective surgery is an opportunity to understand both the system ... Full text Link to item Cite

The User Experience of AI.

Journal Article Med · April 8, 2022 The promise of artificial intelligence (AI) and machine learning in healthcare can be realized only when they are smoothly integrated into existing clinical workflows. Doing so requires optimizing the user experience of AI and the data on which these syste ... Full text Link to item Cite

A longitudinal study of convergence between Black and White COVID-19 mortality: A county fixed effects approach.

Journal Article Lancet Reg Health Am · September 2021 BACKGROUND: Non-Hispanic Black populations have suffered much greater per capita COVID-19 mortality than White populations. Previous work has shown that rates of Black and White mortality have converged over time. Understanding of COVID-19 disparities over ... Full text Open Access Link to item Cite

The role of machine learning in clinical research: transforming the future of evidence generation.

Journal Article Trials · August 16, 2021 BACKGROUND: Interest in the application of machine learning (ML) to the design, conduct, and analysis of clinical trials has grown, but the evidence base for such applications has not been surveyed. This manuscript reviews the proceedings of a multi-stakeh ... Full text Open Access Link to item Cite

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.

Journal Article IEEE Internet Things J · August 15, 2021 As COVID-19 hounds the world, the common cause of finding a swift solution to manage the pandemic has brought together researchers, institutions, governments, and society at large. The Internet of Things (IoT), artificial intelligence (AI)-including machin ... Full text Link to item Cite

Deep Learning-Based Risk Model for Best Management of Closed Groin Incisions After Vascular Surgery.

Journal Article J Surg Res · October 2020 BACKGROUND: Reduced surgical site infection (SSI) rates have been reported with use of closed incision negative pressure therapy (ciNPT) in high-risk patients. METHODS: A deep learning-based, risk-based prediction model was developed from a large national ... Full text Link to item Cite

Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare.

Journal Article NPJ Digit Med · 2020 Storing very large amounts of data and delivering them to researchers in an efficient, verifiable, and compliant manner, is one of the major challenges faced by health care providers and researchers in the life sciences. The electronic health record (EHR) ... Full text Open Access Link to item Cite

The Project Baseline Health Study: a step towards a broader mission to map human health.

Journal Article NPJ Digit Med · 2020 The Project Baseline Health Study (PBHS) was launched to map human health through a comprehensive understanding of both the health of an individual and how it relates to the broader population. The study will contribute to the creation of a biomedical info ... Full text Open Access Link to item Cite

Big data: More than big data sets.

Journal Article Surgery · October 2018 The term big data has been popularized over the past decade and is often used to refer to data sets that are too large or complex to be analyzed by traditional means. Although the term has been utilized for some time in business and engineering, the concep ... Full text Link to item Cite

A miRNA Host Response Signature Accurately Discriminates Acute Respiratory Infection Etiologies.

Journal Article Front Microbiol · 2018 Background: Acute respiratory infections (ARIs) are the leading indication for antibacterial prescriptions despite a viral etiology in the majority of cases. The lack of available diagnostics to discriminate viral and bacterial etiologies contributes to th ... Full text Open Access Link to item Cite

An Eighteen-Gene Classifier Predicts Locoregional Recurrence in Post-Mastectomy Breast Cancer Patients.

Journal Article EBioMedicine · March 2016 We previously identified 34 genes of interest (GOI) in 2006 to aid the oncologists to determine whether post-mastectomy radiotherapy (PMRT) is indicated for certain patients with breast cancer. At this time, an independent cohort of 135 patients having DNA ... Full text Link to item Cite

Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival.

Journal Article Neuro Oncol · November 2015 BACKGROUND: Despite an aggressive therapeutic approach, the prognosis for most patients with glioblastoma (GBM) remains poor. The aim of this study was to determine the significance of preoperative MRI variables, both quantitative and qualitative, with reg ... Full text Link to item Cite

Modeling RAS phenotype in colorectal cancer uncovers novel molecular traits of RAS dependency and improves prediction of response to targeted agents in patients.

Journal Article Clin Cancer Res · January 1, 2014 PURPOSE: KRAS wild-type status is an imperfect predictor of sensitivity to anti-EGF receptor (EGFR) monoclonal antibodies in colorectal cancer, motivating efforts to identify novel molecular aberrations driving RAS. This study aimed to build a quantitative ... Full text Link to item Cite

Impact of bioinformatic procedures in the development and translation of high-throughput molecular classifiers in oncology.

Journal Article Clin Cancer Res · August 15, 2013 The progressive introduction of high-throughput molecular techniques in the clinic allows for the extensive and systematic exploration of multiple biologic layers of tumors. Molecular profiles and classifiers generated from these assays represent the found ... Full text Link to item Cite

MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.

Journal Article Radiology · May 2013 PURPOSE: To conduct a comprehensive analysis of radiologist-made assessments of glioblastoma (GBM) tumor size and composition by using a community-developed controlled terminology of magnetic resonance (MR) imaging visual features as they relate to genetic ... Full text Link to item Cite

Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer.

Journal Article Sci Transl Med · April 17, 2013 Although molecular prognostics in breast cancer are among the most successful examples of translating genomic analysis to clinical applications, optimal approaches to breast cancer clinical risk prediction remain controversial. The Sage Bionetworks-DREAM B ... Full text Link to item Cite

Abstract 2409: A model of RAS pathway in colorectal cancer elucidates molecular traits and drug sensitivity: an integrated analysis of gene expression from human tumors, mouse xenografts and the Cancer Cell Line Encyclopedia (CCLE).

Journal Article Cancer Research · April 15, 2013 AbstractBackground: KRAS mutation status alone is an imperfect predictor of response to anti-EGFR therapy in CRC, motivating efforts to identify additional molecular traits for RAS pathway activity. This stu ... Full text Cite

Abstract 1199: NSCLC KRAS G12C and G12V mutations drive different pathways and display specific drug sensitivity patterns.

Conference Cancer Research · April 15, 2013 AbstractBackground: Although a recent body of literature has described the molecular environment associated with KRAS G12D mutations (6%) in lung adenocarcinoma, the global mutational and gene expression env ... Full text Cite

A network-heuristic approach to improve the impact of genomic data on drug discovery.

Journal Article Clin Pharmacol Ther · April 2013 The explosive growth of molecular diagnostic tests introduces the possibility of increasing our understanding of disease mechanisms in the clinic and promises to improve target identification for new therapies. A new paradigm is emerging in drug discovery ... Full text Link to item Cite

Use of a novel patient-specific model of glioma growth kinetics to elucidate underlying biology as measured by gene expression microarray.

Conference Journal of Clinical Oncology · October 20, 2012 71 Background: Gliomas are heterogeneous diseases with a wide distribution of growth kinetics that can be estimated prior to treatment and that are prognostic for patient outcome after treatment. Coherent molecular data sets have ... Full text Cite

Integrating factor analysis and a transgenic mouse model to reveal a peripheral blood predictor of breast tumors.

Journal Article BMC Med Genomics · July 22, 2011 BACKGROUND: Transgenic mouse tumor models have the advantage of facilitating controlled in vivo oncogenic perturbations in a common genetic background. This provides an idealized context for generating transcriptome-based diagnostic models while minimizing ... Full text Link to item Cite

Genomics in the Diagnosis and Management of Breast Cancer

Journal Article · December 1, 2010 Breast cancer is the second leading cause of death among females. As the most common cancer diagnosis in women, one out of every six American women will confront breast cancer during her lifetime. The disease is more common in industrialized Northern Ameri ... Full text Cite

Breast Cancer and Genomic Medicine

Journal Article · December 1, 2009 Full text Cite

Breast Cancer and Genomic Medicine

Chapter · November 11, 2008 Full text Cite

Genomic prediction of locoregional recurrence after mastectomy in breast cancer.

Journal Article J Clin Oncol · October 1, 2006 Featured Publication PURPOSE: This study aims to explore gene expression profiles that are associated with locoregional (LR) recurrence in breast cancer after mastectomy. PATIENTS AND METHODS: A total of 94 breast cancer patients who underwent mastectomy between 1990 and 2001 ... Full text Link to item Cite

Bayesian analysis of binary prediction tree models for retrospectively sampled outcomes.

Journal Article Biostatistics · October 2004 Featured Publication Classification tree models are flexible analysis tools which have the ability to evaluate interactions among predictors as well as generate predictions for responses of interest. We describe Bayesian analysis of a specific class of tree models in which bin ... Full text Link to item Cite

An overview of genomic data analysis.

Journal Article Surgery · September 2004 Featured Publication Full text Link to item Cite

Integrated modeling of clinical and gene expression information for personalized prediction of disease outcomes.

Journal Article Proc Natl Acad Sci U S A · June 1, 2004 We describe a comprehensive modeling approach to combining genomic and clinical data for personalized prediction in disease outcome studies. This integrated clinicogenomic modeling framework is based on statistical classification tree models that evaluate ... Full text Link to item Cite

Towards integrated clinico-genomic models for personalized medicine: combining gene expression signatures and clinical factors in breast cancer outcomes prediction.

Journal Article Hum Mol Genet · October 15, 2003 Featured Publication Genomic data, particularly genome-scale measures of gene expression derived from DNA microarray studies, has the potential for adding enormous information to the analysis of biological phenotypes. Perhaps the most successful application of this data has be ... Full text Link to item Cite

Distinct gene expression phenotypes of cells lacking Rb and Rb family members.

Journal Article Cancer Res · July 1, 2003 Featured Publication The study of tumor suppressor gene function has been aided by the creation of discrete gene alterations in the mouse. One such example can be seen in the study of tumor suppressor gene function in general and the retinoblastoma (Rb) tumor suppressor in par ... Link to item Cite

Gene expression phenotypic models that predict the activity of oncogenic pathways.

Journal Article Nat Genet · June 2003 Featured Publication High-density DNA microarrays measure expression of large numbers of genes in one assay. The ability to find underlying structure in complex gene expression data sets and rigorously test association of that structure with biological conditions is essential ... Full text Link to item Cite

Gene expression predictors of breast cancer outcomes.

Journal Article Lancet · May 10, 2003 Featured Publication BACKGROUND: Correlation of risk factors with genomic data promises to provide specific treatment for individual patients, and needs interpretation of complex, multivariate patterns in gene expression data, as well as assessment of their ability to improve ... Full text Link to item Cite

Gene expression profiling for prediction of clinical characteristics of breast cancer.

Journal Article Recent Prog Horm Res · 2003 Featured Publication We have applied techniques of gene expression analysis to the analysis of human breast cancer by identifying metagene models with the capacity to discriminate breast tumors based on estrogen receptor (ER) status as well as the propensity for lymph node met ... Full text Link to item Cite

Predicting the clinical status of human breast cancer by using gene expression profiles.

Journal Article Proc Natl Acad Sci U S A · September 25, 2001 Featured Publication Prognostic and predictive factors are indispensable tools in the treatment of patients with neoplastic disease. For the most part, such factors rely on a few specific cell surface, histological, or gross pathologic features. Gene expression assays have the ... Full text Link to item Cite

Myc requires distinct E2F activities to induce S phase and apoptosis.

Journal Article Mol Cell · July 2001 Featured Publication Previous work has shown that the Myc transcription factor induces transcription of the E2F1, E2F2, and E2F3 genes. Using primary mouse embryo fibroblasts deleted for individual E2F genes, we now show that Myc-induced S phase and apoptosis requires distinct ... Full text Link to item Cite

Role for E2F in control of both DNA replication and mitotic functions as revealed from DNA microarray analysis.

Journal Article Mol Cell Biol · July 2001 Featured Publication We have used high-density DNA microarrays to provide an analysis of gene regulation during the mammalian cell cycle and the role of E2F in this process. Cell cycle analysis was facilitated by a combined examination of gene control in serum-stimulated fibro ... Full text Link to item Cite