Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Medicine and Health Sciences (6179)
- Medical Specialties (3609)
- Medical Sciences (2900)
- Life Sciences (1471)
- Biomedical Informatics (1191)
-
- Oncology (1163)
- Bioinformatics (1116)
- Public Health (861)
- Medical Genetics (766)
- Genetic Phenomena (640)
- Diseases (399)
- Social and Behavioral Sciences (384)
- Pediatrics (339)
- Neurology (195)
- Mental and Social Health (186)
- Physical Sciences and Mathematics (164)
- Endocrinology, Diabetes, and Metabolism (138)
- Internal Medicine (135)
- Cardiology (131)
- Bioethics and Medical Ethics (128)
- Epidemiology (122)
- Psychiatry and Psychology (122)
- Sociology (111)
- Public Affairs, Public Policy and Public Administration (110)
- Medical Education (108)
- Neurosciences (105)
- Health Policy (103)
- Psychology (97)
- COVID-19 (96)
- Rehabilitation and Therapy (96)
- Institution
-
- The Texas Medical Center Library (3424)
- Washington University School of Medicine (1119)
- Thomas Jefferson University (704)
- Children's Mercy Kansas City (314)
- University of Kentucky (265)
-
- University of Plymouth (154)
- University of Nebraska Medical Center (136)
- Dartmouth College (121)
- University of New Mexico (118)
- Henry Ford Health (80)
- The Jackson Laboratory (77)
- Old Dominion University (71)
- University of South Carolina (61)
- Providence (48)
- Himmelfarb Health Sciences Library, The George Washington University (39)
- OhioHealth (39)
- Rowan University (37)
- Parkview Health (33)
- Western University (29)
- University of South Florida (22)
- Edith Cowan University (17)
- Touro College and University System (16)
- University of the Pacific (12)
- University of St Augustine for Health Sciences (11)
- Wright State University (11)
- Philadelphia College of Osteopathic Medicine (10)
- South Dakota State University (10)
- Nova Southeastern University (9)
- Southern Illinois University Carbondale (8)
- Dominican University of California (7)
- Publication Year
- Publication
-
- Faculty, Staff and Student Publications (1980)
- Faculty, Staff and Students Publications (1124)
- 2020-Current year OA Pubs (953)
- Manuscripts, Articles, Book Chapters and Other Papers (314)
- Open Access Publications (158)
-
- Dartmouth Scholarship (121)
- Center for Medical Ethics and Health Policy Staff Publications (87)
- Children’s Nutrition Research Center Staff Publications (72)
- Faculty Publications (56)
- Journal Articles: Epidemiology (55)
- College of Population Health Faculty Papers (54)
- Peninsula Medical School (51)
- Articles, Abstracts, and Reports (48)
- Pathology Research and Scholarship (46)
- Project ECHO Bibliography (43)
- Pediatrics Faculty Publications (42)
- The Texas Heart Institute Journal (42)
- Department of Occupational Therapy Faculty Papers (37)
- Department of Medical Oncology Faculty Papers (36)
- Duncan NRI Faculty and Staff Publications (36)
- School of Psychology (36)
- Department of Emergency Medicine Faculty Papers (33)
- Department of Medicine Faculty Papers (33)
- Department of Pediatrics Faculty Papers (32)
- Pediatrics Research and Scholarship (27)
- Health Services and Informatics Research (25)
- Department of Pathology, Anatomy, and Cell Biology Faculty Papers (24)
- Department of Neurosurgery Faculty Papers (23)
- School of Nursing and Midwifery (23)
- Department of Neurology Faculty Papers (22)
- Publication Type
- File Type
Articles 2581 - 2610 of 7122
Full-Text Articles in Entire DC Network
Foundation Models, Generative Ai, And Large Language Models: Essentials For Nursing, Angela Ross, Kathleen Mcgrow, Degui Zhi, Laila Rasmy
Foundation Models, Generative Ai, And Large Language Models: Essentials For Nursing, Angela Ross, Kathleen Mcgrow, Degui Zhi, Laila Rasmy
Faculty, Staff and Student Publications
We are in a booming era of artificial intelligence, particularly with the increased availability of technologies that can help generate content, such as ChatGPT. Healthcare institutions are discussing or have started utilizing these innovative technologies within their workflow. Major electronic health record vendors have begun to leverage large language models to process and analyze vast amounts of clinical natural language text, performing a wide range of tasks in healthcare settings to help alleviate clinicians' burden. Although such technologies can be helpful in applications such as patient education, drafting responses to patient questions and emails, medical record summarization, and medical research …
Improvements In Appropriate Placement Of Dental Sealants After Implementation Of A Clinical Decision Support System, Joanna Mullins, Ryan Brandon, Nicholas Skourtes, Elsbeth Kalenderian, Muhammad Walji
Improvements In Appropriate Placement Of Dental Sealants After Implementation Of A Clinical Decision Support System, Joanna Mullins, Ryan Brandon, Nicholas Skourtes, Elsbeth Kalenderian, Muhammad Walji
Faculty, Staff and Student Publications
BACKGROUND: Dental sealants are effective for the prevention of caries in children at elevated risk levels, and increasing the proportion of children and adolescents who have dental sealants on 1 or more molars is a Healthy People 2030 objective. Electronic health record (EHR)-based clinical decision support systems (CDSSs) have the ability to improve patient care. A dental quality measure related to dental sealant placement for children at elevated risk of caries was targeted for improvement using a CDSS.
METHODS: A validated dental quality measure was adapted to assess a patient's need for dental sealant placement. A CDSS was implemented to …
Discovering Genetic Biomarkers For Targeted Cancer Therapeutics With Explainable Artificial Intelligence, Debaditya Chakraborty, Elizabeth Gutierrez-Chakraborty, Cristian Rodriguez-Aguayo, Hakan Başağaoğlu, Gabriel Lopez-Berestein, Paola Amero
Discovering Genetic Biomarkers For Targeted Cancer Therapeutics With Explainable Artificial Intelligence, Debaditya Chakraborty, Elizabeth Gutierrez-Chakraborty, Cristian Rodriguez-Aguayo, Hakan Başağaoğlu, Gabriel Lopez-Berestein, Paola Amero
Faculty, Staff and Student Publications
No abstract provided.
Assessing The Impact Of The Covid-19 Pandemic On Training At The Md Anderson Cancer Center Anatomical Pathology Fellowship Program, Yiannis P Dimopoulos, Donghyang Kwon, Denái R Milton, Paula I Iaeger, Donna E Hansel, Victor G Prieto, Kareen E Chin, Phyu P Aung
Assessing The Impact Of The Covid-19 Pandemic On Training At The Md Anderson Cancer Center Anatomical Pathology Fellowship Program, Yiannis P Dimopoulos, Donghyang Kwon, Denái R Milton, Paula I Iaeger, Donna E Hansel, Victor G Prieto, Kareen E Chin, Phyu P Aung
Faculty, Staff and Student Publications
Context: To provide high-quality, safe training during the COVID-19 pandemic, our anatomic pathology fellowship program implemented a hybrid virtual/in-person training model with supplemental digital material.
Objective: To evaluate the impact of this model.
Design: We examined Accreditation Council for Graduate Medical Education survey results and board pass rates for fellows before the pandemic (group 1); during the pandemic peak (group 2); and early and late after the pandemic peak (groups 3 and 4). Additionally, we distributed an online survey, including questions related to performance as attending physicians and fellowship experience, to recent graduates.
Results: Information loss during handover, supervision and …
Prevalence And Associated Clinical Characteristics Of Walking-Related Motor, Cognitive, And Fatigability In Progressive Multiple Sclerosis: Baseline Results From The Cogex Study, Cintia Ramari, Mieke D’Hooge, Ulrik Dalgas, Anthony Feinstein, Maria Pia Amato, Giampaolo Brichetto, Jeremy Chataway, Nancy D. Chiaravalloti, Gary R. Cutter, John Deluca, Rachel Farrell, Massimo Filippi, Jennifer Freeman, Matilde Inglese, Cecilia Meza, Robert W. Motl, Maria A. Rocca, Brian M. Sandroff, Amber Salter, Daphne Kos, Peter Feys
Prevalence And Associated Clinical Characteristics Of Walking-Related Motor, Cognitive, And Fatigability In Progressive Multiple Sclerosis: Baseline Results From The Cogex Study, Cintia Ramari, Mieke D’Hooge, Ulrik Dalgas, Anthony Feinstein, Maria Pia Amato, Giampaolo Brichetto, Jeremy Chataway, Nancy D. Chiaravalloti, Gary R. Cutter, John Deluca, Rachel Farrell, Massimo Filippi, Jennifer Freeman, Matilde Inglese, Cecilia Meza, Robert W. Motl, Maria A. Rocca, Brian M. Sandroff, Amber Salter, Daphne Kos, Peter Feys
School of Health Professions
Background: People with progressive multiple sclerosis (PMS) present motor (eg, walking) and cognitive impairments, and report fatigue. Fatigue encompasses fatigability which is objectively measured by the capacity to sustain a motor or cognitive task. Objective: To investigate the prevalence of walking and cognitive fatigability (CF) and the associated clinical characteristics in a large sample of PMS patients. Methods: PMS patients (25-65 years old) were included from 11 sites (Europe and North America), having cognitive impairment (1.28 standard deviation below normative data for the symbol digit modality test [SDMT]). Walking fatigability (WF) was assessed using the distance walk index (DWI) and …
Natural History Of Cancer-Associated Splanchnic Vein Thrombosis, Hanqing Shang, Jun Y Jiang, Danielle Guffey, Francisco Novoa, Raka Bandyo, Shengling Ma, Ang Li
Natural History Of Cancer-Associated Splanchnic Vein Thrombosis, Hanqing Shang, Jun Y Jiang, Danielle Guffey, Francisco Novoa, Raka Bandyo, Shengling Ma, Ang Li
Faculty, Staff and Students Publications
Background: There is uncertainty in the management of cancer-associated isolated splanchnic vein thrombosis (SpVT).
Objectives: To describe the natural history of SpVT by cancer type and thrombus composition and to review anticoagulation (AC) practices and associated rates of usual-site venous thromboembolism (VTE), major and clinically relevant nonmajor bleeding (MB/CRNMB), recanalization/progression, and mortality.
Methods: We performed a retrospective cohort study in patients with SpVT at 2 cancer care centers in Houston, Texas. We estimated the incidence of usual-site VTE and MB/CRNMB at 6 months using competing risk methods and examined venous patency in a subset of patients with repeat imaging. We …
Prospects For Leveraging The Microbiota As Medicine For Hypertension, David J Durgan, Jasenka Zubcevic, Matam Vijay-Kumar, Tao Yang, Ishan Manandhar, Sachin Aryal, Rikeish R Muralitharan, Hong-Bao Li, Ying Li, Justine M Abais-Battad, Jennifer L Pluznick, Dominik N Muller, Francine Z Marques, Bina Joe
Prospects For Leveraging The Microbiota As Medicine For Hypertension, David J Durgan, Jasenka Zubcevic, Matam Vijay-Kumar, Tao Yang, Ishan Manandhar, Sachin Aryal, Rikeish R Muralitharan, Hong-Bao Li, Ying Li, Justine M Abais-Battad, Jennifer L Pluznick, Dominik N Muller, Francine Z Marques, Bina Joe
Faculty, Staff and Students Publications
No abstract provided.
Immune Cell Pair Ratio Captured By Imaging Mass Cytometry Has Superior Predictive Value For Prognosis Of Non-Small Cell Lung Cancer Than Cell Fraction And Density, Jian-Rong Li, Chao Cheng
Immune Cell Pair Ratio Captured By Imaging Mass Cytometry Has Superior Predictive Value For Prognosis Of Non-Small Cell Lung Cancer Than Cell Fraction And Density, Jian-Rong Li, Chao Cheng
Faculty, Staff and Students Publications
No abstract provided.
Consensus Guidelines For The Diagnosis And Management Of Succinic Semialdehyde Dehydrogenase Deficiency, Itay Tokatly Latzer, Mariarita Bertoldi, Nenad Blau, Melissa L Dibacco, Sarah H Elsea, Àngels García-Cazorla, K Michael Gibson, Andrea L Gropman, Ellen Hanson, Carolyn Hoffman, Kathrin Jeltsch, Natalia Juliá-Palacios, Ina Knerr, Henry H C Lee, Patrizia Malaspina, Alice Mcconnell, Thomas Opladen, Mari Oppebøen, Alexander Rotenberg, Mark Walterfang, Lee Wang-Tso, Ron A Wevers, Jean-Baptiste Roullet, Phillip L Pearl
Consensus Guidelines For The Diagnosis And Management Of Succinic Semialdehyde Dehydrogenase Deficiency, Itay Tokatly Latzer, Mariarita Bertoldi, Nenad Blau, Melissa L Dibacco, Sarah H Elsea, Àngels García-Cazorla, K Michael Gibson, Andrea L Gropman, Ellen Hanson, Carolyn Hoffman, Kathrin Jeltsch, Natalia Juliá-Palacios, Ina Knerr, Henry H C Lee, Patrizia Malaspina, Alice Mcconnell, Thomas Opladen, Mari Oppebøen, Alexander Rotenberg, Mark Walterfang, Lee Wang-Tso, Ron A Wevers, Jean-Baptiste Roullet, Phillip L Pearl
Faculty, Staff and Students Publications
Succinic semialdehyde dehydrogenase deficiency (SSADHD) (OMIM #271980) is a rare autosomal recessive metabolic disorder caused by pathogenic variants of ALDH5A1. Deficiency of SSADH results in accumulation of γ-aminobutyric acid (GABA) and other GABA-related metabolites. The clinical phenotype of SSADHD includes a broad spectrum of non-pathognomonic symptoms such as cognitive disabilities, communication and language deficits, movement disorders, epilepsy, sleep disturbances, attention problems, anxiety, and obsessive-compulsive traits. Current treatment options for SSADHD remain supportive, but there are ongoing attempts to develop targeted genetic therapies. This study aimed to create consensus guidelines for the diagnosis and management of SSADHD. Thirty relevant statements were …
Examining The Relationship Between Anxiety Severity And Autism-Related Challenges During Cognitive Behavioral Therapy For Children With Autism, Madeleine N Fuselier, Andrew G Guzick, Jafar Bakhshaie, Jeffrey J Wood, Philip C Kendall, Connor M Kerns, Brent J Small, Wayne K Goodman, Eric A Storch
Examining The Relationship Between Anxiety Severity And Autism-Related Challenges During Cognitive Behavioral Therapy For Children With Autism, Madeleine N Fuselier, Andrew G Guzick, Jafar Bakhshaie, Jeffrey J Wood, Philip C Kendall, Connor M Kerns, Brent J Small, Wayne K Goodman, Eric A Storch
Faculty, Staff and Students Publications
PURPOSE: Using data from a randomized clinical trial evaluating cognitive behavioral therapy (CBT) for children with autism and co-occurring anxiety, this study examined the relationship between autism features and anxiety symptoms throughout CBT.
METHODS: Two multilevel mediation analyses were run which examined the mediating role of changes in anxiety for changes in two core features of autism, (a) repetitive and restrictive behaviors (RRBs) and (b) social communication/interaction impairments, between pre- and post-treatment.
RESULTS: Indirect effects between time and autism characteristics were significant for both models, indicating that as anxiety changes, so do RRBs and social communication/interaction as the outcomes respectively. …
Neurodevelopment And Metabolism In The Maternal-Placental-Fetal Unit, Mariana Parenti, Rebecca J Schmidt, Daniel J Tancredi, Irva Hertz-Picciotto, Cheryl K Walker, Carolyn M Slupsky
Neurodevelopment And Metabolism In The Maternal-Placental-Fetal Unit, Mariana Parenti, Rebecca J Schmidt, Daniel J Tancredi, Irva Hertz-Picciotto, Cheryl K Walker, Carolyn M Slupsky
Faculty, Staff and Students Publications
Importance: Disturbances in maternal, placental, and fetal metabolism are associated with developmental outcomes. Associations of maternal, placental, and fetal metabolism with subsequent neurodevelopmental outcomes in the child are understudied.
Objective: To investigate the metabolic associations within the maternal-placental-fetal unit and subsequent neurodevelopmental outcomes in younger siblings of children with autism spectrum disorder (ASD).
Design, setting, and participants: This cohort study was conducted within a subset of the Markers of Autism Risk in Babies, Learning Early Signs (MARBLES) cohort. MARBLES is a prospective birth cohort of younger siblings of children with ASD assessed for neurodevelopmental outcomes at approximately age 36 months. …
Expanding The Access To Kidney Transplantation: Strategies For Kidney Transplant Programs, Angie Nishio Lucar, Ankita Patel, Shikha Mehta, Anju Yadav, Mona Doshi, Megan Urbanski, Beatrice Concepcion, Neeraj Singh, M. Lee Sanders, Arpita Basu, Jessica Harding, Ana Rossi, Oluwafisayo Adebiyi, Milagros Samaniego-Picota, Kenneth Woodside, Ronald Parsons
Expanding The Access To Kidney Transplantation: Strategies For Kidney Transplant Programs, Angie Nishio Lucar, Ankita Patel, Shikha Mehta, Anju Yadav, Mona Doshi, Megan Urbanski, Beatrice Concepcion, Neeraj Singh, M. Lee Sanders, Arpita Basu, Jessica Harding, Ana Rossi, Oluwafisayo Adebiyi, Milagros Samaniego-Picota, Kenneth Woodside, Ronald Parsons
Department of Medicine Faculty Papers
Kidney transplantation is the most successful kidney replacement therapy available, resulting in improved recipient survival and societal cost savings. Yet, nearly 70 years after the first successful kidney transplant, there are still numerous barriers and untapped opportunities that constrain the access to transplant. The literature describing these barriers is extensive, but the practices and processes to solve them are less clear. Solutions must be multidisciplinary and be the product of strong partnerships among patients, their networks, health care providers, and transplant programs. Transparency in the referral, evaluation, and listing process as well as organ selection are paramount to build such …
Telehealth Experience Among Patients With Limited English Proficiency, Jorge A Rodriguez, Elaine C Khoong, Stuart R Lipsitz, Courtney R Lyles, David W Bates, Lipika Samal
Telehealth Experience Among Patients With Limited English Proficiency, Jorge A Rodriguez, Elaine C Khoong, Stuart R Lipsitz, Courtney R Lyles, David W Bates, Lipika Samal
Faculty, Staff and Students Publications
This cross-sectional study assesses the implication of patients’ English language skills for telehealth use and visit experience.
Looking Beyond Mortality Prediction: Primary Care Physician Views Of Patients' Palliative Care Needs Predicted By A Machine Learning Tool, Lisa Rotenstein, Liqin Wang, Sophia N Zupanc, Akhila Penumarthy, John Laurentiev, Jan Lamey, Subrina Farah, Stuart Lipsitz, Nina Jain, David W Bates, Li Zhou, Joshua R Lakin
Looking Beyond Mortality Prediction: Primary Care Physician Views Of Patients' Palliative Care Needs Predicted By A Machine Learning Tool, Lisa Rotenstein, Liqin Wang, Sophia N Zupanc, Akhila Penumarthy, John Laurentiev, Jan Lamey, Subrina Farah, Stuart Lipsitz, Nina Jain, David W Bates, Li Zhou, Joshua R Lakin
Faculty, Staff and Students Publications
Objectives: To assess primary care physicians' (PCPs) perception of the need for serious illness conversations (SIC) or other palliative care interventions in patients flagged by a machine learning tool for high 1-year mortality risk.
Methods: We surveyed PCPs from four Brigham and Women's Hospital primary care practice sites. Multiple mortality prediction algorithms were ensembled to assess adult patients of these PCPs who were either enrolled in the hospital's integrated care management program or had one of several chronic conditions. The patients were classified as high or low risk of 1-year mortality. A blinded survey had PCPs evaluate these patients for …
A Biophysically Constrained Brain Connectivity Model Based On Stimulation-Evoked Potentials, William Schmid, Isabel A Danstrom, Maria Crespo Echevarria, Joshua Adkinson, Layth Mattar, Garrett P Banks, Sameer A Sheth, Andrew J Watrous, Sarah R Heilbronner, Kelly R Bijanki, Alessandro Alabastri, Eleonora Bartoli
A Biophysically Constrained Brain Connectivity Model Based On Stimulation-Evoked Potentials, William Schmid, Isabel A Danstrom, Maria Crespo Echevarria, Joshua Adkinson, Layth Mattar, Garrett P Banks, Sameer A Sheth, Andrew J Watrous, Sarah R Heilbronner, Kelly R Bijanki, Alessandro Alabastri, Eleonora Bartoli
Faculty, Staff and Students Publications
BACKGROUND: Single-pulse electrical stimulation (SPES) is an established technique used to map functional effective connectivity networks in treatment-refractory epilepsy patients undergoing intracranial-electroencephalography monitoring. While the connectivity path between stimulation and recording sites has been explored through the integration of structural connectivity, there are substantial gaps, such that new modeling approaches may advance our understanding of connectivity derived from SPES studies.
NEW METHOD: Using intracranial electrophysiology data recorded from a single patient undergoing stereo-electroencephalography (sEEG) evaluation, we employ an automated detection method to identify early response components, C1, from pulse-evoked potentials (PEPs) induced by SPES. C1 components were utilized for a …
Pragmatic Strategies To Address Health Disparities Along The Continuum Of Care In Chronic Liver Disease, Mayur Brahmania, Shari Rogal, Marina Serper, Arpan Patel, David Goldberg, Amit Mathur, Julius Wilder, Jennifer Vittorio, Andrew Yeoman, Nicole E Rich, Mariana Lazo, Ani Kardashian, Sumeet Asrani, Ashley Spann, Nneka Ufere, Manisha Verma, Elizabeth Verna, Dinee Simpson, Jesse D Schold, Russell Rosenblatt, Lisa Mcelroy, Sharad I Wadhwani, Tzu-Hao Lee, Alexandra T Strauss, Raymond T Chung, Ignacio Aiza, Rotonya Carr, Jin Mo Yang, Carla Brady, Brett E Fortune
Pragmatic Strategies To Address Health Disparities Along The Continuum Of Care In Chronic Liver Disease, Mayur Brahmania, Shari Rogal, Marina Serper, Arpan Patel, David Goldberg, Amit Mathur, Julius Wilder, Jennifer Vittorio, Andrew Yeoman, Nicole E Rich, Mariana Lazo, Ani Kardashian, Sumeet Asrani, Ashley Spann, Nneka Ufere, Manisha Verma, Elizabeth Verna, Dinee Simpson, Jesse D Schold, Russell Rosenblatt, Lisa Mcelroy, Sharad I Wadhwani, Tzu-Hao Lee, Alexandra T Strauss, Raymond T Chung, Ignacio Aiza, Rotonya Carr, Jin Mo Yang, Carla Brady, Brett E Fortune
Faculty, Staff and Students Publications
Racial, ethnic, and socioeconomic disparities exist in the prevalence and natural history of chronic liver disease, access to care, and clinical outcomes. Solutions to improve health equity range widely, from digital health tools to policy changes. The current review outlines the disparities along the chronic liver disease health care continuum from screening and diagnosis to the management of cirrhosis and considerations of pre-liver and post-liver transplantation. Using a health equity research and implementation science framework, we offer pragmatic strategies to address barriers to implementing high-quality equitable care for patients with chronic liver disease.
Differentiating Epileptic And Psychogenic Non-Epileptic Seizures Using Machine Learning Analysis Of Eeg Plot Images, Steven Fussner, Aidan Boyne, Albert Han, Lauren A Nakhleh, Zulfi Haneef
Differentiating Epileptic And Psychogenic Non-Epileptic Seizures Using Machine Learning Analysis Of Eeg Plot Images, Steven Fussner, Aidan Boyne, Albert Han, Lauren A Nakhleh, Zulfi Haneef
Faculty, Staff and Students Publications
The treatment of epilepsy, the second most common chronic neurological disorder, is often complicated by the failure of patients to respond to medication. Treatment failure with anti-seizure medications is often due to the presence of non-epileptic seizures. Distinguishing non-epileptic from epileptic seizures requires an expensive and time-consuming analysis of electroencephalograms (EEGs) recorded in an epilepsy monitoring unit. Machine learning algorithms have been used to detect seizures from EEG, typically using EEG waveform analysis. We employed an alternative approach, using a convolutional neural network (CNN) with transfer learning using MobileNetV2 to emulate the real-world visual analysis of EEG images by epileptologists. …
Comprehensive Analysis Of Bulk And Single-Cell Transcriptomic Data Reveals A Novel Signature Associated With Endoplasmic Reticulum Stress, Lipid Metabolism, And Liver Metastasis In Pancreatic Cancer, Xiaohong Liu, Bo Ren, Yuan Fang, Jie Ren, Xing Wang, Minzhi Gu, Feihan Zhou, Ruiling Xiao, Xiyuan Luo, Lei You, Yupei Zhao
Comprehensive Analysis Of Bulk And Single-Cell Transcriptomic Data Reveals A Novel Signature Associated With Endoplasmic Reticulum Stress, Lipid Metabolism, And Liver Metastasis In Pancreatic Cancer, Xiaohong Liu, Bo Ren, Yuan Fang, Jie Ren, Xing Wang, Minzhi Gu, Feihan Zhou, Ruiling Xiao, Xiyuan Luo, Lei You, Yupei Zhao
Faculty, Staff and Student Publications
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with high probability of recurrence and distant metastasis. Liver metastasis is the predominant metastatic mode developed in most pancreatic cancer cases, which seriously affects the overall survival rate of patients. Abnormally activated endoplasmic reticulum stress and lipid metabolism reprogramming are closely related to tumor growth and metastasis. This study aims to construct a prognostic model based on endoplasmic reticulum stress and lipid metabolism for pancreatic cancer, and further explore its correlation with tumor immunity and the possibility of immunotherapy.
METHODS: Transcriptomic and clinical data are acquired from TCGA, ICGC, and GEO …
Sars-Cov-2 Omicron: Viral Evolution, Immune Evasion, And Alternative Durable Therapeutic Strategies, Hailong Guo, Sha Ha, Jason W Botten, Kai Xu, Ningyan Zhang, Zhiqiang An, William R Strohl, John W Shiver, Tong-Ming Fu
Sars-Cov-2 Omicron: Viral Evolution, Immune Evasion, And Alternative Durable Therapeutic Strategies, Hailong Guo, Sha Ha, Jason W Botten, Kai Xu, Ningyan Zhang, Zhiqiang An, William R Strohl, John W Shiver, Tong-Ming Fu
Faculty, Staff and Student Publications
Since the SARS-CoV-2 Omicron virus has gained dominance worldwide, its continual evolution with unpredictable mutations and patterns has revoked all authorized immunotherapeutics. Rapid viral evolution has also necessitated several rounds of vaccine updates in order to provide adequate immune protection. It remains imperative to understand how Omicron evolves into different subvariants and causes immune escape as this could help reevaluate the current intervention strategies mostly implemented in the clinics as emergency measures to counter the pandemic and, importantly, develop new solutions. Here, we provide a review focusing on the major events of Omicron viral evolution, including the features of spike …
Family Physicians And Menstrual Care: An Analysis Of Cera 2023, Allison Casola, Olivia Rea, Tiffany Ho
Family Physicians And Menstrual Care: An Analysis Of Cera 2023, Allison Casola, Olivia Rea, Tiffany Ho
Department of Family & Community Medicine Faculty Papers
BACKGROUND: Menstrual health is an important indicator of overall health and has large impacts on quality of life. Despite number and impact, discussion of menstruation remains largely taboo within health care. Patients and physicians are not engaging in regular, meaningful discussions on menstruation. Family physicians, as primary care providers, can facilitate these important conversations.
OBJECTIVES: We sought to understand the profile of menstrual care providing family physicians and assessed physician comfort, knowledge, training, and perceived importance regarding menstrual care.
DESIGN/METHODS: This is a cross-sectional analysis of the 2022 Council of Academic Family Medicine Educational Research Alliance survey. The survey included …
Efficient Gene Knockout And Genetic Interaction Screening Using The In4mer Crispr/Cas12a Multiplex Knockout Platform, Nazanin Esmaeili Anvar, Chenchu Lin, Xingdi Ma, Lori L Wilson, Ryan Steger, Annabel K Sangree, Medina Colic, Sidney H Wang, John G Doench, Traver Hart
Efficient Gene Knockout And Genetic Interaction Screening Using The In4mer Crispr/Cas12a Multiplex Knockout Platform, Nazanin Esmaeili Anvar, Chenchu Lin, Xingdi Ma, Lori L Wilson, Ryan Steger, Annabel K Sangree, Medina Colic, Sidney H Wang, John G Doench, Traver Hart
Faculty, Staff and Student Publications
Genetic interactions mediate the emergence of phenotype from genotype, but technologies for combinatorial genetic perturbation in mammalian cells are challenging to scale. Here, we identify background-independent paralog synthetic lethals from previous CRISPR genetic interaction screens, and find that the Cas12a platform provides superior sensitivity and assay replicability. We develop the in4mer Cas12a platform that uses arrays of four independent guide RNAs targeting the same or different genes. We construct a genome-scale library, Inzolia, that is ~30% smaller than a typical CRISPR/Cas9 library while also targeting ~4000 paralog pairs. Screens in cancer cells demonstrate discrimination of core and context-dependent essential genes …
The Application Of Antimicrobial Stewardship Knowledge To Nursing Practice: A National Survey Of United Kingdom Pre‐Registration Nursing Students, Molly Courtenay, Clare Hawker, Rose Gallagher, Enrique Castro‐Sanchez, Dinah J. Gould, Faten Al Salti, Jennifer Bate, Daniel Cooper, Rebecca Cooper, Rebecca Craig, Rebecca Dickinson, Debbie Fallon, Sharon Mcleod, Kate Morrow, Valerie Ness, Andrew Nichols, Sarah O'Reilly, Sarah Partington, J. Claire Sevenoaks, Matthew Sunter, Jane Turner, Liz W. Underhill, Sarah L. Weaver
The Application Of Antimicrobial Stewardship Knowledge To Nursing Practice: A National Survey Of United Kingdom Pre‐Registration Nursing Students, Molly Courtenay, Clare Hawker, Rose Gallagher, Enrique Castro‐Sanchez, Dinah J. Gould, Faten Al Salti, Jennifer Bate, Daniel Cooper, Rebecca Cooper, Rebecca Craig, Rebecca Dickinson, Debbie Fallon, Sharon Mcleod, Kate Morrow, Valerie Ness, Andrew Nichols, Sarah O'Reilly, Sarah Partington, J. Claire Sevenoaks, Matthew Sunter, Jane Turner, Liz W. Underhill, Sarah L. Weaver
School of Nursing and Midwifery
AimTo assess student nurses understanding and skills in the application of antimicrobial stewardship knowledge to practice.DesignQuantitative.MethodsCross-sectional survey.ResultsFive hundred and twenty three student nurses responded across 23 UK universities. Although students felt prepared in competencies in infection prevention and control, patient-centred care and interprofessional collaborative practice, they felt less prepared in competencies in which microbiological knowledge, prescribing and its effect on antimicrobial stewardship is required. Problem-based learning, activities in the clinical setting and face-to-face teaching were identified as the preferred modes of education delivery. Those who had shared antimicrobial stewardship teaching with students from other professions reported the benefits to include …
Myadm Binds Human Parechovirus 1 And Is Essential For Viral Entry, Wenjie Qiao, Christopher M Richards, Youlim Kim, James R Zengel, Siyuan Ding, Harry B Greenberg, Jan E Carette
Myadm Binds Human Parechovirus 1 And Is Essential For Viral Entry, Wenjie Qiao, Christopher M Richards, Youlim Kim, James R Zengel, Siyuan Ding, Harry B Greenberg, Jan E Carette
2020-Current year OA Pubs
Human parechoviruses (PeV-A) are increasingly being recognized as a cause of infection in neonates and young infants, leading to a spectrum of clinical manifestations ranging from mild gastrointestinal and respiratory illnesses to severe sepsis and meningitis. However, the host factors required for parechovirus entry and infection remain poorly characterized. Here, using genome-wide CRISPR/Cas9 loss-of-function screens, we identify myeloid-associated differentiation marker (MYADM) as a host factor essential for the entry of several human parechovirus genotypes including PeV-A1, PeV-A2 and PeV-A3. Genetic knockout of MYADM confers resistance to PeV-A infection in cell lines and in human gastrointestinal epithelial organoids. Using immunoprecipitation, we …
An Integrated Mhealth App For Smoking Cessation In Black Smokers With Hiv: Protocol For A Randomized Controlled Trial, Andre Bizier, Arielle Jones, Michael Businelle, Krista Kezbers, Bettina B Hoeppner, Thomas P Giordano, Jessica M Thai, Jacqueline Charles, Audrey Montgomery, Matthew W Gallagher, Marshall K Cheney, Michael Zvolensky, Lorra Garey
An Integrated Mhealth App For Smoking Cessation In Black Smokers With Hiv: Protocol For A Randomized Controlled Trial, Andre Bizier, Arielle Jones, Michael Businelle, Krista Kezbers, Bettina B Hoeppner, Thomas P Giordano, Jessica M Thai, Jacqueline Charles, Audrey Montgomery, Matthew W Gallagher, Marshall K Cheney, Michael Zvolensky, Lorra Garey
Faculty, Staff and Students Publications
Background: Black adults who smoke and have HIV experience immense stressors (eg, racial discrimination and HIV stigma) that impede smoking cessation success and perpetuate smoking-related health disparities. These stressors also place Black adults who smoke and have HIV at an increased risk of elevated interoceptive stress (eg, anxiety and uncomfortable bodily sensations) and smoking to manage symptoms. In turn, this population is more likely to smoke to manage interoceptive stress, which contributes to worse HIV-related outcomes in this group. However, no specialized treatment exists to address smoking cessation, interoceptive stress, and HIV management for Black smokers with HIV.
Objective: This …
The Swi/Snf Atp-Dependent Chromatin Remodeling Complex In Cell Lineage Priming And Early Development, Dhurjhoti Saha, Srinivas Animireddy, Blaine Bartholomew
The Swi/Snf Atp-Dependent Chromatin Remodeling Complex In Cell Lineage Priming And Early Development, Dhurjhoti Saha, Srinivas Animireddy, Blaine Bartholomew
Faculty, Staff and Student Publications
ATP dependent chromatin remodelers have pivotal roles in transcription, DNA replication and repair, and maintaining genome integrity. SWI/SNF remodelers were first discovered in yeast genetic screens for factors involved in mating type switching or for using alternative energy sources therefore termed SWI/SNF complex (short for SWItch/Sucrose NonFermentable). The SWI/SNF complexes utilize energy from ATP hydrolysis to disrupt histone-DNA interactions and shift, eject, or reposition nucleosomes making the underlying DNA more accessible to specific transcription factors and other regulatory proteins. In development, SWI/SNF orchestrates the precise activation and repression of genes at different stages, safe guards the formation of specific cell …
Large-Scale Annotated Dataset For Cochlear Hair Cell Detection And Classification., Christopher J Buswinka, David B Rosenberg, Rubina G Simikyan, Richard T Osgood, Katharine Fernandez, Hidetomi Nitta, Yushi Hayashi, Leslie W Liberman, Emily Nguyen, Erdem Yildiz, Jinkyung Kim, Amandine Jarysta, Justine Renauld, Ella Wesson, Haobing Wang, Punam Thapa, Pierrick Bordiga, Noah Mcmurtry, Juan Llamas, Siân R Kitcher, Ana I López-Porras, Runjia Cui, Ghazaleh Behnammanesh, Jonathan E Bird, Angela Ballesteros, A Catalina Vélez-Ortega, Albert S B Edge, Michael R Deans, Ksenia Gnedeva, Brikha R Shrestha, Uri Manor, Bo Zhao, Anthony J Ricci, Basile Tarchini, Martín L Basch, Ruben Stepanyan, Lukas D Landegger, Mark A Rutherford, M Charles Liberman, Bradley J Walters, Corné J Kros, Guy P Richardson, Lisa L Cunningham, Artur A Indzhykulian
Large-Scale Annotated Dataset For Cochlear Hair Cell Detection And Classification., Christopher J Buswinka, David B Rosenberg, Rubina G Simikyan, Richard T Osgood, Katharine Fernandez, Hidetomi Nitta, Yushi Hayashi, Leslie W Liberman, Emily Nguyen, Erdem Yildiz, Jinkyung Kim, Amandine Jarysta, Justine Renauld, Ella Wesson, Haobing Wang, Punam Thapa, Pierrick Bordiga, Noah Mcmurtry, Juan Llamas, Siân R Kitcher, Ana I López-Porras, Runjia Cui, Ghazaleh Behnammanesh, Jonathan E Bird, Angela Ballesteros, A Catalina Vélez-Ortega, Albert S B Edge, Michael R Deans, Ksenia Gnedeva, Brikha R Shrestha, Uri Manor, Bo Zhao, Anthony J Ricci, Basile Tarchini, Martín L Basch, Ruben Stepanyan, Lukas D Landegger, Mark A Rutherford, M Charles Liberman, Bradley J Walters, Corné J Kros, Guy P Richardson, Lisa L Cunningham, Artur A Indzhykulian
Faculty Research 2024
Our sense of hearing is mediated by cochlear hair cells, of which there are two types organized in one row of inner hair cells and three rows of outer hair cells. Each cochlea contains 5-15 thousand terminally differentiated hair cells, and their survival is essential for hearing as they do not regenerate after insult. It is often desirable in hearing research to quantify the number of hair cells within cochlear samples, in both pathological conditions, and in response to treatment. Machine learning can be used to automate the quantification process but requires a vast and diverse dataset for effective training. …
Large-Scale Annotated Dataset For Cochlear Hair Cell Detection And Classification, Christopher J Buswinka, Jinkyung Kim, Anthony J Ricci, Mark A Rutherford, Et Al.
Large-Scale Annotated Dataset For Cochlear Hair Cell Detection And Classification, Christopher J Buswinka, Jinkyung Kim, Anthony J Ricci, Mark A Rutherford, Et Al.
2020-Current year OA Pubs
Our sense of hearing is mediated by cochlear hair cells, of which there are two types organized in one row of inner hair cells and three rows of outer hair cells. Each cochlea contains 5-15 thousand terminally differentiated hair cells, and their survival is essential for hearing as they do not regenerate after insult. It is often desirable in hearing research to quantify the number of hair cells within cochlear samples, in both pathological conditions, and in response to treatment. Machine learning can be used to automate the quantification process but requires a vast and diverse dataset for effective training. …
An Approach To Identify Gene-Environment Interactions And Reveal New Biological Insight In Complex Traits, Xiaofeng Zhu, Yihe Yang, Noah Lorincz-Comi, Gen Li, Amy R Bentley, Paul S De Vries, Michael Brown, Alanna C Morrison, Charles N Rotimi, W James Gauderman, Dabeeru C Rao, Hugues Aschard, Charge Gene-Lifestyle Interactions Working Group
An Approach To Identify Gene-Environment Interactions And Reveal New Biological Insight In Complex Traits, Xiaofeng Zhu, Yihe Yang, Noah Lorincz-Comi, Gen Li, Amy R Bentley, Paul S De Vries, Michael Brown, Alanna C Morrison, Charles N Rotimi, W James Gauderman, Dabeeru C Rao, Hugues Aschard, Charge Gene-Lifestyle Interactions Working Group
2020-Current year OA Pubs
There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions to date. To address this issue, the Gene-Lifestyle Interactions Working Group within the Cohorts for Heart and Aging Research in Genetic Epidemiology Consortium has been spearheading efforts to investigate G × E in large and diverse samples through meta-analysis. Here, we present a powerful new approach to screen for interactions across the genome, an approach that shares substantial similarity to the Mendelian randomization framework. We identify and confirm 5 loci …
An Approach To Identify Gene-Environment Interactions And Reveal New Biological Insight In Complex Traits, Xiaofeng Zhu, Yihe Yang, Noah Lorincz-Comi, Gen Li, Amy R Bentley, Paul S De Vries, Michael Brown, Alanna C Morrison, Charles N Rotimi, W James Gauderman, Dabeeru C Rao, Hugues Aschard
An Approach To Identify Gene-Environment Interactions And Reveal New Biological Insight In Complex Traits, Xiaofeng Zhu, Yihe Yang, Noah Lorincz-Comi, Gen Li, Amy R Bentley, Paul S De Vries, Michael Brown, Alanna C Morrison, Charles N Rotimi, W James Gauderman, Dabeeru C Rao, Hugues Aschard
Faculty, Staff and Student Publications
There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions to date. to address this issue, the Gene-Lifestyle Interactions Working Group within the Cohorts for Heart and Aging Research in Genetic Epidemiology Consortium has been spearheading efforts to investigate G × E in large and diverse samples through meta-analysis. Here, we present a powerful new approach to screen for interactions across the genome, an approach that shares substantial similarity to the Mendelian randomization framework. We identify and confirm 5 loci …
Daratumumab-Based Quadruplet Therapy For Transplant-Eligible Newly Diagnosed Multiple Myeloma With High Cytogenetic Risk, Natalie S Callander, Rebecca Silbermann, Jonathan L Kaufman, Kelly N Godby, Jacob Laubach, Timothy M Schmidt, Douglas W Sborov, Eva Medvedova, Brandi Reeves, Binod Dhakal, Cesar Rodriguez, Saurabh Chhabra, Ajai Chari, Susan Bal, Larry D Anderson, Bhagirathbhai R Dholaria, Nitya Nathwani, Parameswaran Hari, Nina Shah, Naresh Bumma, Sarah A Holstein, Caitlin Costello, Andrzej Jakubowiak, Tanya M Wildes, Robert Z Orlowski, Kenneth H Shain, Andrew J Cowan, Huiling Pei, Annelore Cortoos, Sharmila Patel, Thomas S Lin, Smith Giri, Luciano J Costa, Saad Z Usmani, Paul G Richardson, Peter M Voorhees
Daratumumab-Based Quadruplet Therapy For Transplant-Eligible Newly Diagnosed Multiple Myeloma With High Cytogenetic Risk, Natalie S Callander, Rebecca Silbermann, Jonathan L Kaufman, Kelly N Godby, Jacob Laubach, Timothy M Schmidt, Douglas W Sborov, Eva Medvedova, Brandi Reeves, Binod Dhakal, Cesar Rodriguez, Saurabh Chhabra, Ajai Chari, Susan Bal, Larry D Anderson, Bhagirathbhai R Dholaria, Nitya Nathwani, Parameswaran Hari, Nina Shah, Naresh Bumma, Sarah A Holstein, Caitlin Costello, Andrzej Jakubowiak, Tanya M Wildes, Robert Z Orlowski, Kenneth H Shain, Andrew J Cowan, Huiling Pei, Annelore Cortoos, Sharmila Patel, Thomas S Lin, Smith Giri, Luciano J Costa, Saad Z Usmani, Paul G Richardson, Peter M Voorhees
Faculty, Staff and Student Publications
In the MASTER study (NCT03224507),daratumumab+carfilzomib/lenalidomide/dexamethasone (D-KRd) demonstrated promising efficacy in transplant-eligible newly diagnosed multiple myeloma (NDMM). In GRIFFIN (NCT02874742), daratumumab+lenalidomide/bortezomib/dexamethasone (D-RVd) improved outcomes for transplant-eligible NDMM. Here, we present a post hoc analysis of patients with high-risk cytogenetic abnormalities (HRCAs; del[17p], t[4;14], t[14;16], t[14;20], or gain/amp[1q21]). Among 123 D-KRd patients, 43.1%, 37.4%, and 19.5% had 0, 1, or ≥2 HRCAs. Among 120 D-RVd patients, 55.8%, 28.3%, and 10.8% had 0, 1, or ≥2 HRCAs. Rates of complete response or better (best on study) for 0, 1, or ≥2 HRCAs were 90.6%, 89.1%, and 70.8% for D-KRd, …