Serena Wang

ORCID: 0000-0002-5532-071X
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About
Contact & Profiles
Research Areas
  • Intraocular Surgery and Lenses
  • Ophthalmology and Visual Impairment Studies
  • Ophthalmology and Visual Health Research
  • Ocular Infections and Treatments
  • Online Learning and Analytics
  • Cardiovascular Health and Risk Factors
  • Mobile Health and mHealth Applications
  • Health disparities and outcomes
  • Ethics and Social Impacts of AI
  • Traumatic Ocular and Foreign Body Injuries
  • Explainable Artificial Intelligence (XAI)
  • Healthcare Policy and Management
  • Psychology of Moral and Emotional Judgment
  • AI in cancer detection
  • Advanced Causal Inference Techniques
  • Machine Learning and Data Classification
  • Corneal surgery and disorders
  • Artificial Intelligence in Healthcare and Education
  • Telemedicine and Telehealth Implementation
  • Retirement, Disability, and Employment
  • Machine Learning in Healthcare
  • Paranormal Experiences and Beliefs
  • Diversity and Career in Medicine
  • Child Abuse and Related Trauma
  • Physical Activity and Health

Harvard University
2023-2025

Northeastern University
2024

The University of Texas Southwestern Medical Center
2012-2024

University of California, Berkeley
2020-2023

Southwestern Medical Center
2022-2023

University of Cambridge
2023

Johns Hopkins University
2021

University of Washington
2021

Rutgers, The State University of New Jersey
2020

Indigenous Wellbeing Centre
2020

Many existing fairness criteria for machine learning involve equalizing some metric across protected groups such as race or gender. However, practitioners trying to audit enforce group-based can easily face the problem of noisy biased group information. First, we study consequences naively relying on labels: provide an upper bound violations true G when are satisfied $\hat{G}$. Second, introduce two new approaches using robust optimization that, unlike naive approach only $\hat{G}$,...

10.48550/arxiv.2002.09343 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Machine learning (ML) techniques are increasingly prevalent in education, from their use predicting student dropout to assisting university admissions and facilitating the rise of massive open online courses (MOOCs). Given rapid growth these novel uses, there is a pressing need investigate how ML support long-standing education principles goals. In this work, we shed light on complex landscape drawing qualitative insights interviews with experts. These comprise in-depth evaluations for...

10.1073/pnas.2204781120 article EN cc-by Proceedings of the National Academy of Sciences 2023-02-24
Erick D. Bothun Michael X. Repka Raymond T. Kraker Rui Wu David A. Leske and 95 more Sarah R. Hatt Zhuokai Li Sharon F. Freedman William F. Astle Susan A. Cotter Jonathan M. Holmes David K. Wallace Laura B. Enyedi S. Grace Prakalapakorn Sarah K. Jones Denise Hug Erin D. Stahl Rebecca J. Dent Lingkun Kong Serena Wang Bryan K. Gallerson Amy K. Hutchinson Phoebe D. Lenhart Judy Brower David G. Morrison Scott T. Ruark Rebecca Mets-Halgrimson Hawke Yoon Hantamalala Ralay Ranaivo Aaliyah Hamidullah Raymond G. Areaux Jill S. Anderson Ann M. Holleschau Rosanne Superstein Caroline Bélanger Nicole Fallaha Patrick Hamel Maryse Thibeault Susanna M. Tamkins Ta Chen Chang Hee-Jung S. Park Anya A. Trumler Xiaonong Liu Emi Sanders Elias I. Traboulsi Fatema F. Ghasia Diana C. McOwen Michael E. Gray Michael B. Yang Corey S. Bowman Jennifer Galvin Margaret Therriault Heather Smith Michele E. Whitaker Faruk Örge A. Paula Grigorian Alicia M. Baird Mitchell B. Strominger Vicki Chen Shelley Klein Jacquelyn D. Kemmer Alexandra E. Neiman Myra N. Mendoza Jill J. Frohwein Don L. Bremer Cybil Cassady Richard P. Golden Catherine O. Jordan David L. Rogers Sara A. Oravec Tammy L. Yanovitch Keven Lunsford Christina Nye Caroline Shea SueAnn M. Stillman Gaétan Laroche Stephen C. Van Iderstine Elisa Robertson Oscar A. Cruz Rafif Ghadban Dawn Govreau Scott A. Larson Susannah Q. Longmuir Xiaoyan Shan Michael W. Clarke Kate Taylor Christine Powell Benjamin P. Hammond Matthew D. Gearinger Andrea Czubinski Dorothy Hendricks Jing Jin Jonathan Salvin Alicia Fisher Katherine A. Lee Daniel Brooks Bonita R. Schweinler Nicholas A. Sala Allyson M. Sala Allison I. Summers

Importance Glaucoma can develop following cataract removal in children. Objective To assess the cumulative incidence of glaucoma-related adverse events (defined as glaucoma or suspect) and factors associated with risk these first 5 years after lensectomy prior to 13 age. Design, Setting, Participants This cohort study used longitudinal registry data collected at enrollment annually for from 45 institutional 16 community sites. were children aged 12 younger least 1 office visit June 2012 July...

10.1001/jamaophthalmol.2022.6413 article EN JAMA Ophthalmology 2023-02-16
Michael X. Repka Trevano W. Dean Raymond T. Kraker Zhuokai Li Kimberly G. Yen and 95 more Alejandra G. de Alba Campomanes Marielle P. Young Bahram Rahmani Kathryn M. Haider George F. Whitehead Scott R. Lambert Sudhi P. Kurup Courtney L. Kraus Susan A. Cotter Jonathan M. Holmes Sharon F. Freedman David K. Wallace Laura B. Enyedi S. Grace Prakalapakorn Sarah K. Jones Denise Hug Erin D. Stahl Rebecca J. Dent Lingkun Kong Serena Wang Bryan K. Gallerson Amy K. Hutchinson Phoebe D. Lenhart Judy Brower David G. Morrison Scott T. Ruark Rebecca Mets-Halgrimson Hawke Yoon Hantamalala Ralay Ranaivo Aaliyah Hamidullah Raymond G. Areaux Jill S. Anderson Ann M. Holleschau Rosanne Superstein Caroline Bélanger Nicole Fallaha Patrick Hamel Maryse Thibeault Susanna M. Tamkins Ta Chen Chang Hee-Jung S. Park Anya A. Trumler Xiaonong Liu William F. Astle Emi Sanders Elias I. Traboulsi Fatema F. Ghasia Diana C. McOwen Michael E. Gray Michael B. Yang Corey S. Bowman Jennifer Galvin Margaret Therriault Heather Smith Michele E. Whitaker Faruk Örge A. Paula Grigorian Alicia M. Baird Mitchell B. Strominger Vicki Chen Shelley Klein Jacquelyn D. Kemmer Alexandra E. Neiman Myra N. Mendoza Jill J. Frohwein Don L. Bremer Cybil Cassady Richard P. Golden Catherine O. Jordan David L. Rogers Sara A. Oravec Tammy L. Yanovitch Keven Lunsford Christina Nye Caroline Shea SueAnn M. Stillman Gaétan Laroche Stephen C. Van Iderstine Elisa Robertson Oscar A. Cruz Rafif Ghadban Dawn Govreau Scott A. Larson Susannah Q. Longmuir Xiaoyan Shan Michael W. Clarke Kate Taylor Christine Powell Benjamin P. Hammond Matthew D. Gearinger Andrea Czubinski Dorothy Hendricks Jing Jin Jonathan Salvin Alicia Fisher

<h3>Importance</h3> Cataract is an important cause of visual impairment in children. Data from a large pediatric cataract surgery registry can provide real-world estimates outcomes and the 5-year cumulative incidence adverse events. <h3>Objective</h3> To assess acuity (VA), complications additional eye operations, refractive error 5 years after lensectomy among children younger than 13 years. <h3>Design, Setting, Participants</h3> This prospective cohort study used data Pediatric Eye Disease...

10.1001/jamaophthalmol.2021.6176 article EN JAMA Ophthalmology 2022-02-10

Abstract Background Prior literature on disability has centered prevalence among older adults ages 65 and older, providing only limited insight to potential gender differences in mid-life. Midlife is, however, a critical time be examined, as it is typically the life course when large inequalities physical health first emerge. Methods Using Harmonized data files provided by Gateway Global Aging Data, we estimate of nationally representative 55–65 from 23 countries ( N = 79,465). We examine...

10.1186/s40695-020-00061-0 article EN cc-by Women s Midlife Health 2021-01-02

To (1) present a guide on how to perform optical coherence tomography (OCT) in carotid artery stenting (CAS), (2) highlight several instructive cases illustrating OCT-guidance as an interventional strategy, and (3) the largest case-series of OCT-guided CAS performed North America, demonstrating its feasibility imaging modality this setting.OCT is intravascular method that captures images with axial resolution 10 times higher than ultrasound. OCT has proven be useful coronary angiography may...

10.1002/ccd.27344 article EN Catheterization and Cardiovascular Interventions 2017-10-16

This paper summarizes and compares measures of chronic diseases medical conditions in the Health Retirement Study (HRS) its sister surveys from other countries: English Longitudinal Ageing (ELSA), Survey Health, Ageing, Europe (SHARE), Korean Aging (KLoSA), Japanese on (JSTAR), Chinese (CHARLS), India (LASI). The authors analyze discuss extent, to which these are comparable, methodological differences way information was collected for measures, implications secondary data analysis. is one a...

10.2139/ssrn.2800288 article EN SSRN Electronic Journal 2014-01-01

Abstract Backgrounds Bowel cancer is the second most common non‐cutaneous diagnosed in Australia among both genders. Colonoscopy withdrawal time of at least 6 min has been accepted as standard to achieve target polyp detection rate (PDR) and adenoma (ADR). A retrospective review was conducted Bundaberg Hospital evaluate relationship between colonoscopy against polyp, rates. Methods study carried out on patients who had colonoscopies performed 1 October 2016 30 September 2017 by general...

10.1111/ans.15652 article EN ANZ Journal of Surgery 2020-01-20

Glucocorticoids (GCs) and β2-adrenergic receptor (β2AR) agonists improve asthma outcomes in most patients. GCs also modulate gene expression human airway smooth muscle (HASM), thereby attenuating inflammation hyperresponsiveness that define asthma. Our previous studies showed the pro-fibrotic cytokine, transforming growth factor- β1 (TGF-β1) increases phosphodiesterase 4D (PDE4D) attenuates agonist-induced levels of intracellular cAMP. Decreased cAMP then diminishes β2 relaxation. In current...

10.1186/s12931-020-01522-w article EN cc-by Respiratory Research 2020-10-08
Sharon F. Freedman Laura B. Enyedi S. Grace Prakalapakorn Sarah K. Jones Denise Hug and 95 more Erin D. Stahl Rebecca J. Dent Kimberly G. Yen Lingkun Kong Serena Wang Bryan K. Gallerson Scott R. Lambert Amy K. Hutchinson Judy Brower Scott T. Ruark Bahram Rahmani Sudhi P. Kurup Rebecca Mets-Halgrimson Hawke Yoon Hantamalala Ralay Ranaivo Aaliyah Hamidullah Raymond G. Areaux Jill S. Anderson Ann M. Holleschau Rosanne Superstein Caroline Bélanger Nicole Fallaha Patrick Hamel Maryse Thibeault Susanna M. Tamkins Ta Chen Chang Courtney L. Kraus Hee-Jung S. Park Anya A. Trumler Xiaonong Liu William F. Astle Emi Sanders Elias I. Traboulsi Fatema F. Ghasia Diana C. McOwen Michael B. Yang Corey S. Bowman Jennifer Galvin Margaret Therriault Kathryn M. Haider Heather Smith Michele E. Whitaker Faruk Örge A. Paula Grigorian Alicia M. Baird Mitchell B. Strominger Vicki Chen Shelley Klein Alejandra de Alba Campomanes Jacquelyn D. Kemmer Alexandra E. Neiman Myra N. Mendoza Jill J. Frohwein Don L. Bremer Cybil Cassady Richard P. Golden Catherine O. Jordan David L. Rogers Sara A. Oravec Tammy L. Yanovitch Keven Lunsford George F. Whitehead Christina Nye Caroline Shea SueAnn M. Stillman Gaétan Laroche Stephen C. Van Iderstine Marielle P. Young Elisa Robertson Oscar A. Cruz Rafif Ghadban Dawn Govreau Scott A. Larson Susannah Q. Longmuir Xiaoyan Shan Michael W. Clarke Kate Taylor Christine Powell Benjamin P. Hammond Matthew D. Gearinger Andrea Czubinski Dorothy Hendricks Jing Jin Jonathan Salvin Alicia Fisher Katherine A. Lee Daniel Brooks Bonita R. Schweinler Nicholas A. Sala Allyson M. Sala Allison I. Summers Daniel J. Karr Lorri B. Wilson Paula K. Rauch Mary O’Hara

<h3>Importance</h3> The Pediatric Eye Disease Investigator Group Cataract Registry provides a multicenter assessment of visual outcomes and complications after lensectomy for traumatic pediatric cataract. <h3>Objective</h3> To report acuity (VA) the cumulative proportion with strabismus, glaucoma, other ocular by 15 months cataract among children younger than 13 years at time surgery. <h3>Design, Setting, Participants</h3> From June 18, 2012, to July 8, 2015, 1266 eyes 994 from 33 eye care...

10.1001/jamaophthalmol.2021.0980 article EN JAMA Ophthalmology 2021-05-07

We demonstrate how easy it is for modern machine-learned systems to violate common deontological ethical principles and social norms such as "favor the less fortunate," "do not penalize good attributes." propose that in some cases can be incorporated into a model by adding shape constraints constrain respond only positively relevant inputs. analyze relationship between these act on individuals consequentialist group-based fairness goals of one-sided statistical parity equal opportunity. This...

10.48550/arxiv.2001.11990 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Rapid progress in scalable, commoditized tools for data collection and processing has made it possible firms policymakers to employ ever more complex metrics as guides decision-making. These developments have highlighted a prevailing challenge -- deciding *which* compute. In particular, firm's ability compute wider range of existing does not address the problem *unknown unknowns*, which reflects informational limitations on part firm. To guide choice face this problem, we turn evaluated...

10.48550/arxiv.2402.14005 preprint EN arXiv (Cornell University) 2024-02-21
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