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Articles 91921 - 91950 of 5207548
Full-Text Articles in Entire DC Network
Integrated Transcriptomic Landscape Of Medulloblastoma And Ependymoma Reveals Novel Tumor Subtype-Specific Biology, Gregory Glatzer, Philipp Sievers, Srinidhi Varadharajan, Andrey Korshunov, Felix Sahm, Stephen C Mack, Michael D Taylor, Taranjit S Gujral, Eric C Holland
Integrated Transcriptomic Landscape Of Medulloblastoma And Ependymoma Reveals Novel Tumor Subtype-Specific Biology, Gregory Glatzer, Philipp Sievers, Srinidhi Varadharajan, Andrey Korshunov, Felix Sahm, Stephen C Mack, Michael D Taylor, Taranjit S Gujral, Eric C Holland
Faculty, Staff and Students Publications
Background: Medulloblastoma and ependymoma are common pediatric central nervous system tumors with significant molecular and clinical heterogeneity. While molecular subgrouping has enabled classification into molecular subtypes, the extent of heterogeneity within these subgroups remains poorly defined.
Methods: We collected bulk RNA sequencing data from 888 medulloblastoma and 370 ependymoma tumors to establish a comprehensive reference landscape. After rigorous batch effect correction, normalization, and dimensionality reduction, we generated a unified landscape to explore gene expression, signaling pathways, RNA fusions, and copy number variations.
Results: Our transcriptional analysis revealed distinct clustering patterns, including two primary ependymoma compartments, EPN-E1 and EPN-E2, each with …
Utility And Utilization Of Transabdominal Ultrasound In Pediatric Patients With Acute Recurrent Or Chronic Pancreatitis, Fuchenchu Wang, Gretchen A Cress, Maisam A Abu-El-Haija, Ankur Chugh, Reuven Zev Cohen, Elissa M Downs, Douglas S Fishman, Cheryl E Gariepy, Matthew J Giefer, Tanja Y Gonska, Amit S Grover, Sohail Z Husain, Douglas Lindblad, Quin Y Liu, Asim Maqbool, Jacob A Mark, Brian A Mcferron, Megha S Mehta, Veronique D Morinville, Kenneth Ng, Robert A Noel, Chee Y Ooi, Emily R Perito, Zachary M Sellers, Andrew T Trout, Yuhua Zheng, Ying Yuan, Mark E Lowe, Aliye Uc, Consortium For The Study Of Chronic Pancreatitis, Diabetes And Pancreatic Cancer
Utility And Utilization Of Transabdominal Ultrasound In Pediatric Patients With Acute Recurrent Or Chronic Pancreatitis, Fuchenchu Wang, Gretchen A Cress, Maisam A Abu-El-Haija, Ankur Chugh, Reuven Zev Cohen, Elissa M Downs, Douglas S Fishman, Cheryl E Gariepy, Matthew J Giefer, Tanja Y Gonska, Amit S Grover, Sohail Z Husain, Douglas Lindblad, Quin Y Liu, Asim Maqbool, Jacob A Mark, Brian A Mcferron, Megha S Mehta, Veronique D Morinville, Kenneth Ng, Robert A Noel, Chee Y Ooi, Emily R Perito, Zachary M Sellers, Andrew T Trout, Yuhua Zheng, Ying Yuan, Mark E Lowe, Aliye Uc, Consortium For The Study Of Chronic Pancreatitis, Diabetes And Pancreatic Cancer
Faculty, Staff and Students Publications
Objectives: Transabdominal ultrasound (TAUS) is frequently utilized in pediatric acute pancreatitis, but less is known about its use in acute recurrent (ARP) or chronic pancreatitis (CP). Our aim was to describe TAUS utilization and findings from the largest multicenter cohort of pediatric ARP and CP, the International Study Group of Pediatric Pancreatitis: In Search for a CuRE-2 (INSPPIRE-2).
Methods: Demographic and imaging data from physician questionnaires were obtained for patients with available TAUS data. Utilization and findings were compared between ARP and CP groups. Kappa statistics were used to compare agreement of TAUS to computed tomography (CT), magnetic resonance imaging/cholangiopancreatography …
Diagnostic Evaluation And Treatment Of Utis In Children With Neurogenic Bladder, Stephanie Davis-Rodriguez, Rana F Hamdy, John M Morrison, Michael J Tchou, Victor Trevisanut, Vijaya Vemulakonda, Catherine S Forster
Diagnostic Evaluation And Treatment Of Utis In Children With Neurogenic Bladder, Stephanie Davis-Rodriguez, Rana F Hamdy, John M Morrison, Michael J Tchou, Victor Trevisanut, Vijaya Vemulakonda, Catherine S Forster
Faculty, Staff and Students Publications
Objective: Children with neurogenic bladder (NGB) are at increased risk for urinary tract infections (UTIs), but there is a lack of guidelines to assist clinicians in diagnosing and treating these children. Our objective was to describe the presentation and treatment of provider diagnosed UTIs in children with NGB compared to children with vesicoureteral reflux (VUR) and to assess the proportion of children with NGB who met a consortium definition of UTI.
Study design: We included children < 18 years old with either VUR or NGB who were diagnosed in the emergency department with a febrile UTI in our multicenter retrospective cohort study. We extracted and compared UTI symptoms and urinalysis results specific to children with NGB to children with VUR. We measured the proportion of UTI diagnoses concordant with the Urologic Management to Preserve Initial Renal Function (UMPIRE) consensus definition of UTI, defined as ≥ 100,000 CFU/mL of 1 or 2 organisms, pyuria, and ≥ two symptoms of UTI.
Results: The most common symptom among all children in the cohort was vomiting (38.8 %). Of the 215 children with NGB, 41.3 % met …
Bispectral Index-Guided Anesthesia For Older Patients Having Noncardiac Surgery: A Randomized Multicenter Trial, Zhangsheng Yu, Yanzhuo Zhang, Yong Li, Qingxiang Mao, Minghua Cheng, Gu Gong, Enqin Wang, Cunming Liu, Wei Hao, Hong Li, Changlin Chen, Yaling Fan, Zhenbo Su, Xiaoli Cai, Xiaole Zhang, Zhi Li, Bing Zhang, Yi Li, Qinqin Yin, Jiali Jiao, Daniel I Sessler, Qian Li, Jin Liu
Bispectral Index-Guided Anesthesia For Older Patients Having Noncardiac Surgery: A Randomized Multicenter Trial, Zhangsheng Yu, Yanzhuo Zhang, Yong Li, Qingxiang Mao, Minghua Cheng, Gu Gong, Enqin Wang, Cunming Liu, Wei Hao, Hong Li, Changlin Chen, Yaling Fan, Zhenbo Su, Xiaoli Cai, Xiaole Zhang, Zhi Li, Bing Zhang, Yi Li, Qinqin Yin, Jiali Jiao, Daniel I Sessler, Qian Li, Jin Liu
Faculty, Staff and Student Publications
Background: Older surgical patients are at risk because of age-related physiologic decline and comorbidities. Some guidelines recommend Bispectral Index (BIS; Medtronic, USA) monitoring to optimize anesthetic depth, but robust evidence supporting improved outcomes is lacking.
Methods: A randomized, multicenter, double-blind trial was conducted across 21 tertiary-care hospitals in China (March 17, 2015, to February 5, 2022). Patients aged 65 yr or older scheduled for elective noncardiac surgery (American Society of Anesthesiologists [ASA] Physical Status I to IV) were randomized 1:1 to BIS-guided or routine anesthetic management. In patients assigned to BIS guidance, hypnotic depth was adjusted to maintain BIS between …
Deep Brain Stimulation Response Circuits In Obsessive-Compulsive Disorder, Ron Gadot, Nicole R Provenza, Sameer A Sheth
Deep Brain Stimulation Response Circuits In Obsessive-Compulsive Disorder, Ron Gadot, Nicole R Provenza, Sameer A Sheth
Faculty, Staff and Students Publications
In the field of deep brain stimulation (DBS), two major themes are currently making significant progress. First, the framework of connectomic DBS, in which circuits that are associated with improvements of specific symptoms are described and targeted to improve and potentially personalize treatment. Second, the concept of brain sensing and adaptive DBS, which aims at identifying neural biomarkers that may guide stimulation in a closed-loop fashion.
In DBS for Obsessive Compulsive Disorder (OCD), substantial progress has been made on both ends, over the last five years. Together, results begin to draw a picture of exactly which circuit is …
Evaluating The Genetic Overlap Between Congenital Heart Disease And Neuroblastoma Risk., Aniko Sabo, Andrew F Olshan, Sharon E Plon, Chad D Huff, Philip J Lupo
Evaluating The Genetic Overlap Between Congenital Heart Disease And Neuroblastoma Risk., Aniko Sabo, Andrew F Olshan, Sharon E Plon, Chad D Huff, Philip J Lupo
Faculty, Staff and Students Publications
Children with congenital heart disease (CHD) have elevated neuroblastoma (NB) risk, potentially due to shared neural crest origins. We analyzed rare exonic de novo single-nucleotide variants in 702 CHD and 454 NB trios from the Neuroblastoma Epidemiology in North America Study, Gabriella Miller Kids First Program, and a published cohort. Seven genes, including CHD risk genes POGZ and LZTR1 (linked to Noonan syndrome and Schwannomatosis), showed nominal (p < 0.05) enrichment in both cohorts. CIC, IREB2, POGZ, and PCDHG cluster are associated with neurodevelopmental disorders, supporting shared developmental mechanisms. Findings warrant investigation of pathways linking congenital anomalies and childhood cancer.
Ai, Fake Citations, And Other Hallucinations, Carlton Nelson, Charles Roush
Ai, Fake Citations, And Other Hallucinations, Carlton Nelson, Charles Roush
University Library Publications and Presentations
No abstract provided.
The Promise Of Mindfulness-Based Interventions: A Stress-Reduction Strategy For Testicular Cancer Survivors' Health-Related Quality Of Life, Michael J. Rovito, Colin F. Mahony, Kamalie Thomas, Keith Brazendale, Ciaran Fairman Ph.D., Cscs, Cet
The Promise Of Mindfulness-Based Interventions: A Stress-Reduction Strategy For Testicular Cancer Survivors' Health-Related Quality Of Life, Michael J. Rovito, Colin F. Mahony, Kamalie Thomas, Keith Brazendale, Ciaran Fairman Ph.D., Cscs, Cet
Faculty Publications
Background: Testicular cancer (TC) disproportionately affects younger men and carries unique psychosocial and physiological consequences that extend well beyond treatment. Despite favorable survival rates, TC survivors frequently report diminished health-related quality of life (HRQoL). These burdens are often compounded by masculinity-related identity disruptions, fear of recurrence, sexual dysfunction, and a lack of tailored psychosocial support. Existing interventions remain limited, with most programs focused on physical rehabilitation or early detection. Few address the multidimensional stressors that shape the TC survivorship experience.
Aims: This narrative review examines the literature on HRQoL among TC survivors and evaluates the potential of mindfulness-based interventions (MBIs) …
Association Of Body Fatness With Hypertension, Dyslipidemia, And Myocardial Infarction In A Multinational Pooled Cohort, Vivek Kumar Prasad, Chibueze Ogbonnaya, Hannah Oh, Andrew Atkin, Madison Kindred, Min-Jeong Shin, Dahyun Park, Jin Eui Kim, Mike Loosemore, Vartika Saxena, Ryan Porter, Courtney Kipps, Jason Jaggers, Xuemei Sui M.D., M.P.H., Ph.D., Carl J. Lavie, Mark Hamer
Association Of Body Fatness With Hypertension, Dyslipidemia, And Myocardial Infarction In A Multinational Pooled Cohort, Vivek Kumar Prasad, Chibueze Ogbonnaya, Hannah Oh, Andrew Atkin, Madison Kindred, Min-Jeong Shin, Dahyun Park, Jin Eui Kim, Mike Loosemore, Vartika Saxena, Ryan Porter, Courtney Kipps, Jason Jaggers, Xuemei Sui M.D., M.P.H., Ph.D., Carl J. Lavie, Mark Hamer
Faculty Publications
Objective
To investigate the association of dual-energy X-ray absorptiometry–measured body fat percentage (BF%) and trunk fat mass index (TFMI) with hypertension (HTN), dyslipidemia, and myocardial infarction (MI).Methods
The relationship between body fat parameters and cardiovascular disease (CVD) was studied across individuals in the same body mass index (BMI) group. Data from the UK Biobank, a multicountry large population-based study, and the US and Korean National Health and Nutrition Examination Surveys, generating nationally representative samples, were pooled and harmonized. This cross-sectional analysis included 30,520 women and 27,244 men aged 40 years or older.Results
A significant increase in relative risks …February 2026 Nh Ece Research Consortium Newsletter, Evan England, Jess Carson, Harshita Sarup
February 2026 Nh Ece Research Consortium Newsletter, Evan England, Jess Carson, Harshita Sarup
New Hampshire Early Care and Education Research Consortium
The February 2026 NH ECE Research Consortium Newsletter features a spotlight on the NH Child Care Scholarship Program. Also find the latest data, research publications, Consortium resources, upcoming events, opportunities, and more.
Calculated Risks: The Power Of Predictive Risk Models To Regulate Families Of Color, Ashleigh Washington
Calculated Risks: The Power Of Predictive Risk Models To Regulate Families Of Color, Ashleigh Washington
Dissertations, Theses, and Capstone Projects
This dissertation examines predictive risk modelling (PRM) in New York City Administration for Children's Services (ACS), specifically exploring AI-enabled design features, practices, and encoded and racialized assumptions about risk in child welfare prevention services. Guided by Critical Race Theory and the Algorithmic Ecology framework, this study traces how PRM in ACS evolved from a service termination tool into a broader, largely internal surveillance apparatus that leverages families’ personal information, including health information, to assess risk of future maltreatment and to evaluate contracted service providers. Drawing on analysis of public records and in-depth interviews with Black parents, the findings describe how …
Voices Of Agency: Unpacking Student Insights On Nysed Content Standards, Local Curricular Practices, Pedagogy In New York State Schools, And Their Educational Implications, Alprentice Ashanti Talibudeen Mccutchen
Voices Of Agency: Unpacking Student Insights On Nysed Content Standards, Local Curricular Practices, Pedagogy In New York State Schools, And Their Educational Implications, Alprentice Ashanti Talibudeen Mccutchen
Dissertations, Theses, and Capstone Projects
This research sets out to explore the concept of agency in the context of education, including my distinction between passive agency and active agency, and how these distinctions have been taken up by scholars, educators, and policy makers. The core approach is based in an expansive inclusion of various perspectives on agency as a basis for developing a comprehensive framework of active agency as well as its opportunities for educational practices and outcomes. I am arguing that there is a gap—an agency gap—between the passive and active employment of agency. I am also arguing that there is an agency in …
Mind The Gap: Morphological Defectivity And Suffixal Competition In Polish, Szymon E. Zuberek
Mind The Gap: Morphological Defectivity And Suffixal Competition In Polish, Szymon E. Zuberek
Dissertations, Theses, and Capstone Projects
This study investigates morphological defectivity and suffixal competition in the genitive singular of Polish masculine inanimate nouns. Drawing on survey-based grammaticality judgments from native speakers, it examines how respondents select between the suffixes -a and -u or reject both as unacceptable, thereby signaling defectivity. Mixed-effects logistic regressions revealed that defectivity was rare overall but patterned systematically by age, education, and region, with additional baseline variability across lexical items. Suffix choice showed a strong preference for -a, modulated by age, education, and region, with additional baseline variability across lexical items. These findings inform our understanding of paradigm structure, sociolinguistic variation, and …
Computational And Functional Characterization Of Terebrid Venom Peptides, Favour T. Achimba
Computational And Functional Characterization Of Terebrid Venom Peptides, Favour T. Achimba
Dissertations, Theses, and Capstone Projects
Venom peptides represent a natural repertoire of bioactive compounds that are potent modulators of ion channels. Teretoxins, venom peptides from terebrid snails, remain underexplored despite their structural and functional diversity. This thesis is the first to comprehensively explore the structure and function of teretoxins using a comparative computational sequence and structure model followed by experimental assays. The majority of the functional focus has been on identifying the ion channel molecular targets of uncharacterized teretoxins. Teretoxins, like other venom peptides, are hypothesized to manipulate the cellular function of a diversity of ion channels. Dysregulation of ion channels leads to several …
The Radical Political Possibilities Of Asexuality And Aromanticism, Kirty Singh
The Radical Political Possibilities Of Asexuality And Aromanticism, Kirty Singh
Dissertations, Theses, and Capstone Projects
This study explores the radical political potential of Asexuality and Aromanticism within queer theory, emphasizing their roles in destabilizing normative constructs of sexuality and romantic relationships. Employing mixed methods, including literature review, digital ethnography of online communities, and analysis of graphic narratives, the research examines how these identities challenge systemic systems such as compulsory sexuality, amatonormativity, and racialized discourses. Findings reveal that Asexual and Aromantic communities utilize flexible definitions and taxonomies to assert their identities, disrupt hegemonic gender and sexual norms, and foster coalitional politics that advocate for systemic change. The study underscores the importance of recognizing Asexuality and Aromanticism …
Molding The Mosaic: Progressive Coalition Formation In The 2021 New York City Council Elections, Sam Goodson
Molding The Mosaic: Progressive Coalition Formation In The 2021 New York City Council Elections, Sam Goodson
Dissertations, Theses, and Capstone Projects
The 2021 New York City Council primaries marked a decisive breakthrough for the city’s progressive left. A cohort of democratic-socialist and socialist-adjacent candidates won office across multiple boroughs, dramatically expanding the size and influence of the left flank of the council. This dissertation analyzes those victories and argues that they constituted a hinge moment in the construction of a progressive governing regime in New York City, with implications that extend beyond New York City politics to the study of social- democratic party families more broadly. Drawing on electoral returns, demographic data, campaign materials, and elite interviews, the project demonstrates that …
The Eunomics Of Intellectual Property, Shyamkrishna Balganesh
The Eunomics Of Intellectual Property, Shyamkrishna Balganesh
Faculty Scholarship
Originally developed by the legal theorist Lon L. Fuller, eunomics is the “study of good order and workable arrangements,” directed at understanding the structure, form, or ordering adopted by an area of law. Yet, unlike the ordinary analysis of institutional design, eunomics views the form adopted by an area of law as neither preordained nor wholly contingent. Instead, eunomics sees form as playing an important role in clarifying and developing the goals of an area through a means-ends interaction. This Article develops the central insights of Fuller’s eunomics project for intellectual property. Until now, most theoretical accounts of intellectual property …
New York Environmental Legislation In 2025, Michael B. Gerrard
New York Environmental Legislation In 2025, Michael B. Gerrard
Faculty Scholarship
In 2025, New York State overhauled its State Superfund law and extended the State Superfund Program for ten years. The state also enacted laws restricting chemicals in menstrual products and firefighter personal protective equipment; expanding the extended producer responsibility program for batteries to include electric scooter and bike batteries; and protecting monarch butterflies and horseshoe crabs. These and other new and amended environmental and energy laws — as well as notable vetoes — are discussed in this article.
Amendments to two of New York’s most important laws may be up for consideration by the Legislature during the current session. Governor …
Lessons Learned In A Data Linkage Project On Fatal Drowning, Rohit P Shenoi, Ned Levine, Elizabeth A Camp, Linh Nguyen, Sandra Mckay, Shaila Zaman
Lessons Learned In A Data Linkage Project On Fatal Drowning, Rohit P Shenoi, Ned Levine, Elizabeth A Camp, Linh Nguyen, Sandra Mckay, Shaila Zaman
Faculty, Staff and Student Publications
Background: Drowning is the leading cause of death in US children 1-4 years old. The epidemiology of drowning at a regional level is understudied because no single data source provides complete information on persons who drown. Probabilistic data linkage is a novel way of studying the epidemiology of drowning. This study aimed to document the lessons learned during the linkage process.
Methods: This was a cross-sectional study of persons of all ages who died from unintentional drowning in metropolitan Houston from 2016 to 2022. We describe the lessons learned during the project planning and execution phases which pertained to data …
Utilization Of Intensive Care Interventions In Critically Ill Patients With Candidemia Versus Bacteremia: A Multicenter Retrospective Cohort Study, James Kurian, Aarjav Sanghvi, Enshuo Hsu, Stephen L Jones, Ashton Connor, David B Corry, Cesar A Arias, Max W Adelman
Utilization Of Intensive Care Interventions In Critically Ill Patients With Candidemia Versus Bacteremia: A Multicenter Retrospective Cohort Study, James Kurian, Aarjav Sanghvi, Enshuo Hsu, Stephen L Jones, Ashton Connor, David B Corry, Cesar A Arias, Max W Adelman
Faculty, Staff and Students Publications
Objectives: Candida species are one of the most common causes of ICU-onset bloodstream infection (BSI). Yet, there is no robust guidance on when to initiate empiric antifungals for ICU patients suspected of BSI. We compared patients with ICU-onset candidemia vs. ICU-onset bacteremia to determine which patients may benefit from empiric antifungals.
Design: We compared characteristics between patients with bacteremia vs. candidemia at time of culture. We determined risk factors for death and constructed a multivariable regression to determine if candidemia is an independent risk factor for death.
Setting/patients: We included ICU patients from a hospital system in Houston, Texas (n …
Examination Of Traffic Safety In Neighborhoods Associated With Active Commuting To School In Austin, Texas, Cici X Bauer, Deanna M Hoelscher
Examination Of Traffic Safety In Neighborhoods Associated With Active Commuting To School In Austin, Texas, Cici X Bauer, Deanna M Hoelscher
Faculty, Staff and Student Publications
Background: Only 10% of US children participate in active commuting (walking and bicycling) to school (ACS). Parental concerns related to traffic are a primary barrier to ACS, yet no studies have assessed these concerns together with neighborhood traffic safety-related features. This study examined the associations between traffic safety-related features in neighborhoods and ACS among school-age children in Austin, Texas.
Methods: This cross-sectional analysis utilized pre-COVID-19 baseline data (2019-2020) of parent-child dyads enrolled in the Safe TRavel Environment Evaluation in Texas Schools study. ACS, traffic safety-related features in the neighborhood (sidewalk availability, safe road crossings, traffic safety, traffic speed, and safety …
Volumetric Buccal Bone Alterations At Immediate Implant Sites With Or Without Soft Tissue Augmentation: A 6-Month Assessment
Faculty, Staff and Student Publications
Background: This study is part of a randomized controlled trial investigating the impact of soft tissue augmentation (STA) using subepithelial connective tissue graft (SCTG) (immediate implant with subepithelial connective tissue graft [ICT] group) or acellular dermal matrix (ADM) (immediate implant with acellular dermal matrix [IAD] group) versus no STA (control) on the clinical outcomes following immediate implant placement (IIP). This study aimed to investigate volumetric buccal bone dimensional changes at immediate implant sites 6 months after the surgery.
Methods: Forty-five patients requiring extraction of a maxillary anterior tooth or premolar and randomly assigned to one of the three groups were …
Ex Vivo Comparative Analysis Of Retrievability Among Four Calcium Silicate-Based Sealers For Regaining Apical Patency
Faculty, Staff and Student Publications
Objectives: : Efficient retrievability is a key requirement for endodontic sealers. This study evaluated the retrievability of four different calcium silicate-based sealers (CSS).
Methods: A total of 153 single-rooted human teeth with straight canals were decoronated to a standardized working length of 12 mm. The canals were negotiated to working length using K files up to size 15/.02, followed by rotary instrumentation up to 35/.04, 2 mm short of working length. The teeth were randomly assigned to five groups: NeoSEALER Flo (NEO; Avalon Biomed), Ceraseal (CS; Meta Biomed), Endosequence BC Sealer (BC; Brasseler USA), AH Plus Bioceramic Sealer (AHB; Dentsply …
Proceedings Of The Second Artificial Intelligence In Primary Immunodeficiency (Aipi) Meeting, Aaron Chin, Rumi Chunara, Charlotte Cunningham-Rundles, Lorenzo Erra, Jocelyn Farmer, Nicolas Garcelon, Elena Hsieh, Helen Leavis, Seungwon Lee, Liangying Liu, Maaike Kusters, Brian C Lloyd, Alexandra K Martinson, Rachel Mester, Justin B Moore, Despina Moshous, Jordan S Orange, Nefatia Parrish, Sarah Henrickson Parker, Bogdan Pasaniuc, Xiao P Peng, Martine Pergent, Jordi Piera-Jiménez, Jessica Quinn, Sidharth Ramesh, Kirk Roberts, Peter N Robinson, Guergana Savova, Christopher Scalchunes, Markus G Seidel, Rachel Simoneau, Pere Soler-Palacin, Kathleen E Sullivan, Marielle Van Gijn, Chung-Il Wi, Dawei Zhou, Vanessa Tenembaum, Manish J Butte, Nicholas L Rider
Proceedings Of The Second Artificial Intelligence In Primary Immunodeficiency (Aipi) Meeting, Aaron Chin, Rumi Chunara, Charlotte Cunningham-Rundles, Lorenzo Erra, Jocelyn Farmer, Nicolas Garcelon, Elena Hsieh, Helen Leavis, Seungwon Lee, Liangying Liu, Maaike Kusters, Brian C Lloyd, Alexandra K Martinson, Rachel Mester, Justin B Moore, Despina Moshous, Jordan S Orange, Nefatia Parrish, Sarah Henrickson Parker, Bogdan Pasaniuc, Xiao P Peng, Martine Pergent, Jordi Piera-Jiménez, Jessica Quinn, Sidharth Ramesh, Kirk Roberts, Peter N Robinson, Guergana Savova, Christopher Scalchunes, Markus G Seidel, Rachel Simoneau, Pere Soler-Palacin, Kathleen E Sullivan, Marielle Van Gijn, Chung-Il Wi, Dawei Zhou, Vanessa Tenembaum, Manish J Butte, Nicholas L Rider
Faculty, Staff and Student Publications
The use of artificial intelligence (AI) in inborn errors of immunity offers transformative potential in diagnostics and disease management but faces multiple challenges that were discussed at the second Artificial Intelligence in Primary Immunodeficiency conference, held in New York City (March 19-22, 2025). The conference addressed 7 themes: predictive diagnostic algorithms, health equity, industry collaboration, advanced computational tools like large language models, patient-led AI initiatives, multiomics integration, and implementation science. Discussions highlighted the growing impact of AI on diagnostics, genomics, and health systems, emphasizing the need for high-quality, diverse datasets and ethical safeguards to ensure equitable application. Participants stressed that …
Modern Home Cooking Practices, The Role Of New Media, And Implications For Culinary Medicine: A Qualitative Study Among Mothers With Low Income, Debbe Thompson
Modern Home Cooking Practices, The Role Of New Media, And Implications For Culinary Medicine: A Qualitative Study Among Mothers With Low Income, Debbe Thompson
Faculty, Staff and Student Publications
Culinary medicine offers a practical, experiential approach to nutrition education, but in-person programs are resources intensive. Digital interventions may offer a scalable, acceptable approach to culinary medicine in populations that are at increased risk for poor diet, such as parents with low income. The purpose of this study was to examine modern home cooking behavior and the role of new media from the perspective of parents with low income and identify implications for culinary medicine research. Twenty parents from 6- to 11-year-old children that qualify for free/reduced school lunch programs completed a survey and interview examining online cooking information seeking …
Developing Updated And New Guidance To Promote Reliable Patient Identification, Neha Thummala, Miriam Callahan, Dean F Sittig, Hardeep Singh, Hojjat Salmasian, Madison Jurgens, Jason S Adelman
Developing Updated And New Guidance To Promote Reliable Patient Identification, Neha Thummala, Miriam Callahan, Dean F Sittig, Hardeep Singh, Hojjat Salmasian, Madison Jurgens, Jason S Adelman
Faculty, Staff and Student Publications
Objectives: To describe the process of updating the Patient Identification Safety Assurance Factors for EHR Resilience (SAFER) Guide and to review new practices and refinements to the Guide.
Materials and methods: We conducted a review of literature on the topic of patient identification in healthcare settings, focusing on papers published after 2016. Titles and abstracts were screened by a team of reviewers, and the full text of retained articles was used to inform the revision.
Results: The updated SAFER Guide strengthens recommendations for displaying patient photographs and using electronic patient identification, including barcoding and radiofrequency identification on patient wristbands. The …
Comparing The Effectiveness Of A Medication Knowledge Base Product As Designed With Real-World Hospital Implementations Using The Leapfrog Group’S Computerized Physician Order Entry (Cpoe/Ehr) Evaluation Tool, David C Classen
Faculty, Staff and Student Publications
Objectives: We sought to compare and analyze the performance of a medication knowledge base (MKB) vendor's (Medi-Span) fully enabled, factory settings product to operational implementations in hospitals using the Leapfrog Group's Computerized Physician Order Entry (CPOE)/electronic health record (EHR) Evaluation Tool.
Materials and methods: We randomly selected a hospital that used the MKB vendor's product to complete the Leapfrog CPOE/EHR Evaluation Tool in 2018 and used this version of the tool to assess the MKB vendor's fully enabled product. Next, we retrospectively evaluated all hospitals, regardless of EHR vendor, that used the MKB vendor's product in the tool from 2017 …
Prism-Xqtl: Pleiotropic Relationships Integrated With System-Level Multiomic Qtl Analysis For Causal Genes And Molecular Mediators In Alzheimer’S Disease
Faculty, Staff and Student Publications
Introduction: Most Alzheimer's disease (AD) risk variants identified by genome-wide association studies (GWAS) reside in noncoding regions, complicating causal interpretation.
Methods: We developed PRISM-xQTL (Pleiotropic Relationships Integrated with System-level Multiomic QTL), integrating pleiotropy, co-localization, Mendelian randomization, and mediation analyses across multiomic quantitative trait loci (QTLs; expression QTL [eQTL], methylation QTL [meQTL], splicing QTL [sQTL], proteomic [pQTL], single-cell [sc-eQTL]). Seventy pleiotropic single-nucleotide polymorphisms (SNPs) shared between AD and 11 immune disorders were analyzed. AlphaGenome assessed functional regulation, and The Alzheimer's Cell Atlas (TACA) database was used for drug-target relevance of FCER1G.
Results: Across 54 Genotype-Tissue Expression (GTEx) tissues, 410 SNP-gene-tissue co-localizations …
Scper: A Rigorous Computational Approach To Determine Cellular Subtypes In Tumors Aligned With Cancer Phenotypes From Total Rna Sequencing
Faculty, Staff and Student Publications
Single-cell RNA sequencing (scRNA-seq) is a powerful technique for understanding cellular diversity, but processing large patient cohorts to identify phenotype-associated cell populations remains challenging. Here, scPER (Estimating cell Proportions using single-cell RNA-seq Reference), a rigorous approach combining adversarial autoencoder and extreme gradient boosting to estimate tumor microenvironment cell compositions and identify phenotype-associated subclusters for bulk RNA-seq samples. Integrating scRNA-seq datasets from diverse studies, scPER constructed comprehensive reference panels and disentangled confounders from true signals. scPER achieved superior accuracy in cellular proportion estimation compared to CIBERSORTx, BayesPrism, Scaden, MuSiC, SCDC, DeSide and ReCIDE. It showed high accuracy in predicting metastatic melanoma …
Inferring High-Fat Dietary Patterns From Electronic Health Record Data Using Machine Learning, Sizun Jiang, Jiang Bian, Hao Dai
Inferring High-Fat Dietary Patterns From Electronic Health Record Data Using Machine Learning, Sizun Jiang, Jiang Bian, Hao Dai
Faculty, Staff and Student Publications
Objectives: Electronic health records (EHRs) rarely capture dietary detail, limiting diet-disease research. We aimed to develop machine learning (ML) computable phenotypes to identify high-fat diet (HFD) using variables typically available in EHRs.
Materials and methods: We used National Health and Nutrition Examination Survey (NHANES) 1999-2020 data, where 24-h dietary recall served as ground truth. Dietary fat intake was summarized into a score (0-30) based on percent energy from fat, carbohydrate, and protein; lower scores indicated HFD. We defined HFD at cutoffs of 10, 15, and 20, and trained ML models (Extreme Gradient Boosting, logistic regression, random forest) using EHR-compatible variables …