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Articles 7471 - 7500 of 25811
Full-Text Articles in Medicine and Health Sciences
Exoskeletal-Assisted Walking In Veterans With Paralysis: A Randomized Clinical Trial, Ann M Spungen, Ellen J Dematt, Kousick Biswas, Karen M Jones, Zhibao Mi, Amanda J Snodgrass, Kel Morin, Pierre K Asselin, Christopher M Cirnigliaro, Steven Kirshblum, Peter H Gorman, Lance L Goetz, Katherine Stenson, Kevin T White, Alice Hon, Sunil Sabharwal, B Jenny Kiratli, Doug Ota, Bridget Bennett, Joseph E Berman, Denis Castillo, Kenneth K Lee, Byron W Eddy, M Kristi Henzel, Michelle Trbovich, Sally A Holmes, Felicia Skelton, Michael Priebe, Stephen L Kornfeld, Grant D Huang, William A Bauman
Exoskeletal-Assisted Walking In Veterans With Paralysis: A Randomized Clinical Trial, Ann M Spungen, Ellen J Dematt, Kousick Biswas, Karen M Jones, Zhibao Mi, Amanda J Snodgrass, Kel Morin, Pierre K Asselin, Christopher M Cirnigliaro, Steven Kirshblum, Peter H Gorman, Lance L Goetz, Katherine Stenson, Kevin T White, Alice Hon, Sunil Sabharwal, B Jenny Kiratli, Doug Ota, Bridget Bennett, Joseph E Berman, Denis Castillo, Kenneth K Lee, Byron W Eddy, M Kristi Henzel, Michelle Trbovich, Sally A Holmes, Felicia Skelton, Michael Priebe, Stephen L Kornfeld, Grant D Huang, William A Bauman
Faculty, Staff and Students Publications
IMPORTANCE: Robotic exoskeletons leverage technology that assists people with spinal cord injury (SCI) to walk. The efficacy of home and community exoskeletal use has not been studied in a randomized clinical trial (RCT).
OBJECTIVE: To examine whether use of a wheelchair plus an exoskeleton compared with use of only a wheelchair led to clinically meaningful net improvements in patient-reported outcomes for mental and physical health.
DESIGN, SETTING, AND PARTICIPANTS: This RCT of veterans with SCI was conducted at 15 Veterans Affairs medical centers in the US from September 6, 2016, to September 27, 2021. Data analysis was performed from March …
Human Papillomavirus Vaccination And Human Papillomavirus-Related Cancer Rates, Victor Adekanmbi, Itunu Sokale, Fangjian Guo, Jessica Ngo, Thao N Hoang, Christine D Hsu, Abiodun Oluyomi, Abbey B Berenson
Human Papillomavirus Vaccination And Human Papillomavirus-Related Cancer Rates, Victor Adekanmbi, Itunu Sokale, Fangjian Guo, Jessica Ngo, Thao N Hoang, Christine D Hsu, Abiodun Oluyomi, Abbey B Berenson
Faculty, Staff and Students Publications
IMPORTANCE: To inform the design and implementation of targeted interventions to reduce the future burden of human papillomavirus (HPV)-related cancers in Texas, it is necessary to examine the county and health service region (HSR) levels of (1) the proportion of children and teenagers aged 9 to 17 years who initiated and were up to date for HPV vaccination series and (2) HPV-related cancer incidence rates (IRs).
OBJECTIVE: To evaluate temporal trends and geospatial patterns of HPV vaccination initiation and up-to-date status as well as HPV-related cancer rates at county and HSR levels in Texas.
DESIGN, SETTING, AND PARTICIPANTS: This population-based …
Machine Learning To Enhance Electronic Detection Of Diagnostic Errors, Andrew J Zimolzak, Li Wei, Usman Mir, Ashish Gupta, Viralkumar Vaghani, Devika Subramanian, Hardeep Singh
Machine Learning To Enhance Electronic Detection Of Diagnostic Errors, Andrew J Zimolzak, Li Wei, Usman Mir, Ashish Gupta, Viralkumar Vaghani, Devika Subramanian, Hardeep Singh
Faculty, Staff and Students Publications
This cohort study examines whether machine learning (ML) can enhance the ability of electronic triggers to identify possible missed opportunities in diagnosis.
Skin Tone Discrimination And Birth Control Avoidance Among Women In Harris County, Texas: A Cross-Sectional Study, Kimberly Baker, Susan Tortolero Emery, Evelyn Spike, Jazmyne Sutton, Eran Ben-Porath
Skin Tone Discrimination And Birth Control Avoidance Among Women In Harris County, Texas: A Cross-Sectional Study, Kimberly Baker, Susan Tortolero Emery, Evelyn Spike, Jazmyne Sutton, Eran Ben-Porath
Faculty, Staff and Student Publications
INTRODUCTION: Structural racism plays a major role in reproductive health inequities. Colorism, discrimination based on skin color, may profoundly impact reproductive health access and service delivery. However, quantitative research in this area is limited.
METHODS: We administered an online survey of women (n = 1,299) aged 18-44 from Harris County, Texas to assess the relationship between skin color discrimination and reproductive health service avoidance. The survey included questions on demographics, self-reported skin tone, and dichotomous measures of previous discrimination experiences and avoidance of care because of perceived discrimination. Binary logistic regression was used to examine whether race/ethnicity, skin tone, and …
Risk Of Anxiety Disorders In Men With Prostate Cancer: A National Cohort Study, Casey Crump, Pär Stattin, James D Brooks, Jan Sundquist, Kristina Sundquist, Weiva Sieh
Risk Of Anxiety Disorders In Men With Prostate Cancer: A National Cohort Study, Casey Crump, Pär Stattin, James D Brooks, Jan Sundquist, Kristina Sundquist, Weiva Sieh
Faculty, Staff and Student Publications
BACKGROUND: Men with prostate cancer (PC) may experience significant psychosocial distress from physical symptoms, treatment side effects, or fear of recurrence. However, little is known about the long-term risk of anxiety disorders in men with PC.
METHODS: A national cohort study was conducted of 180 189 men diagnosed with PC during 1998-2017 and 1 801 890 age-matched population-based control men in Sweden. Anxiety disorders were ascertained from nationwide outpatient and inpatient records through 2018. Cox regression was used to estimate hazard ratios (HRs) while adjusting for sociodemographic factors and prior psychiatric disorders. Subanalyses explored differences by PC treatment during 2005-2017. …
Glycemic Control In Diabetic Patients Improved Overall Lung Cancer Survival Across Diverse Populations, Wayne Y Wu, Brian Luke, Xiao-Cheng Wu, J Jack Lee, Yong Yi, Samuel C Okpechi, Barry Gause, Paras Mehta, Steven I Sherman, Augusto Ochoa, Ethan Dmitrovsky, Xi Liu
Glycemic Control In Diabetic Patients Improved Overall Lung Cancer Survival Across Diverse Populations, Wayne Y Wu, Brian Luke, Xiao-Cheng Wu, J Jack Lee, Yong Yi, Samuel C Okpechi, Barry Gause, Paras Mehta, Steven I Sherman, Augusto Ochoa, Ethan Dmitrovsky, Xi Liu
Faculty, Staff and Student Publications
Background: The consequence of diabetes on lung cancer overall survival (OS) is debated. This retrospective study used 2 large lung cancer databases to assess comprehensively diabetes effects on lung cancer OS in diverse demographic populations, including health disparity.
Methods: The University of Texas MD Anderson Cancer Center database (32 643 lung cancer patients with 11 973 patients with diabetes) was extracted from electronic health records (EHRs) using natural language processing (NLP). Associations were between diabetes and lung cancer prognostic features (age, sex, race, body mass index [BMI], insurance status, smoking, stage, and histopathology). Hemoglobin A1C (HgbA1c) and glucose levels assessed …
Scintruler: Guiding The Integration Of Multiple Single-Cell Rna-Seq Datasets With A Novel Statistical Metric, Yue Lyu, Steven H Lin, Hao Wu, Ziyi Li
Scintruler: Guiding The Integration Of Multiple Single-Cell Rna-Seq Datasets With A Novel Statistical Metric, Yue Lyu, Steven H Lin, Hao Wu, Ziyi Li
Faculty, Staff and Student Publications
Motivation: The growing number of single-cell RNA-seq (scRNA-seq) studies highlights the potential benefits of integrating multiple datasets, such as augmenting sample sizes and enhancing analytical robustness. Inherent diversity and batch discrepancies within samples or across studies continue to pose significant challenges for computational analyses. Questions persist in practice, lacking definitive answers: Should we use a specific integration method or opt for simply merging the datasets during joint analysis? Among all the existing data integration methods, which one is more suitable in specific scenarios?
Result: To fill the gap, we introduce SCIntRuler, a novel statistical metric for guiding the integration of …
Analysis Of Ductal Carcinoma In Situ By Self-Reported Race Reveals Molecular Differences Related To Outcome, Siri H Strand, Graham A Colditz, Et Al.
Analysis Of Ductal Carcinoma In Situ By Self-Reported Race Reveals Molecular Differences Related To Outcome, Siri H Strand, Graham A Colditz, Et Al.
2020-Current year OA Pubs
BACKGROUND: Ductal carcinoma in situ (DCIS) is a non-obligate precursor to invasive breast cancer (IBC). Studies have indicated differences in DCIS outcome based on race or ethnicity, but molecular differences have not been investigated.
METHODS: We examined the molecular profile of DCIS by self-reported race (SRR) and outcome groups in Black (n = 99) and White (n = 191) women in a large DCIS case-control cohort study with longitudinal follow up.
RESULTS: Gene expression and pathway analyses suggested that different genes and pathways are involved in diagnosis and ipsilateral breast outcome (DCIS or IBC) after DCIS treatment in White versus …
Setrusumab For The Treatment Of Osteogenesis Imperfecta: 12-Month Results From The Phase 2b Asteroid Study, Francis H Glorieux, Bente Langdahl, Roland Chapurlat, Suzanne Jan De Beur, Vernon Reid Sutton, Kenneth E S Poole, Kathryn M Dahir, Eric S Orwoll, Bettina M Willie, Nicholas Mikolajewicz, Elizabeth Zimmermann, Seyedmahdi Hosseinitabatabaei, Michael S Ominsky, Chris Saville, James Clancy, Alastair Mackinnon, Arun Mistry, Muhammad K Javaid
Setrusumab For The Treatment Of Osteogenesis Imperfecta: 12-Month Results From The Phase 2b Asteroid Study, Francis H Glorieux, Bente Langdahl, Roland Chapurlat, Suzanne Jan De Beur, Vernon Reid Sutton, Kenneth E S Poole, Kathryn M Dahir, Eric S Orwoll, Bettina M Willie, Nicholas Mikolajewicz, Elizabeth Zimmermann, Seyedmahdi Hosseinitabatabaei, Michael S Ominsky, Chris Saville, James Clancy, Alastair Mackinnon, Arun Mistry, Muhammad K Javaid
Faculty, Staff and Students Publications
Osteogenesis imperfecta (OI) is a rare genetic disorder commonly caused by variants of the type I collagen genes COL1A1 and COL1A2. OI is associated with increased bone fragility, bone deformities, bone pain, and reduced growth. Setrusumab, a neutralizing antibody to sclerostin, increased areal bone mineral density (aBMD) in a 21-week phase 2a dose escalation study. The phase 2b Asteroid (NCT03118570) study evaluated the efficacy and safety of setrusumab in adults. Adults with a clinical diagnosis of OI type I, III, or IV, a pathogenic variant in COL1A1/A2, and a recent fragility fracture were randomized 1:1:1:1 to receive 2, 8, or …
Factors Associated With Recanalization And Reintervention Following Below Knee Polidocanol Endovenous Microfoam Ablation For Great Saphenous And Small Saphenous Veins, John Fang, Christian Fang, Andy Moyal, Enrico Ascher, Anil Hingorani, Natalie Marks
Factors Associated With Recanalization And Reintervention Following Below Knee Polidocanol Endovenous Microfoam Ablation For Great Saphenous And Small Saphenous Veins, John Fang, Christian Fang, Andy Moyal, Enrico Ascher, Anil Hingorani, Natalie Marks
Rowan-Virtua School of Osteopathic Medicine Departmental Research
BACKGROUND: Polidocanol endovenous microfoam (PEM) has been used to treat lower extremity venous reflux for almost one decade with specific advantages for below knee (BK) truncal veins where thermal ablation poses a risk of injury to adjacent nerves. The current literature of the BK segment often examines short-term outcomes with modest sample sizes. We aim to identify factors associated with recanalization and reintervention in this subset of patients.
METHODS: We performed a retrospective study of a prospectively maintained database of patients from a single institution who underwent 1% PEM ablation for BK great saphenous vein (GSV) and small saphenous vein …
A Comparison Of The Safety And Efficacy Of Tapinarof And Roflumilast Topical Therapies In The Management Of Mild-To-Moderate Plaque Psoriasis, Hira Ghani, Alicia Podwojniak, Isabella J Tan, Aarushi K Parikh, Bianca Sanabria, Babar Rao
A Comparison Of The Safety And Efficacy Of Tapinarof And Roflumilast Topical Therapies In The Management Of Mild-To-Moderate Plaque Psoriasis, Hira Ghani, Alicia Podwojniak, Isabella J Tan, Aarushi K Parikh, Bianca Sanabria, Babar Rao
Rowan-Virtua School of Osteopathic Medicine Departmental Research
INTRODUCTION: Psoriasis is an immune-mediated inflammatory skin disease. First-line topical treatments include steroids, calcineurin inhibitors, vitamin D analogs, and anthralin. Recently, novel topical therapeutics like tapinarof and roflumilast have emerged with unique anti-inflammatory mechanisms and promising efficacy profiles.
MATERIALS AND METHODS: This review utilized PubMed, SCOPUS, and Web of Science databases to identify recent studies on tapinarof and roflumilast. Criteria focused on efficacy, safety profiles, and therapeutic roles in psoriasis treatment.
RESULTS: Four primary literature articles were identified for tapinarof and five for roflumilast. Both drugs demonstrated strong efficacy with minimal adverse events in treating mild-to-moderate plaque psoriasis. Tapinarof showed …
Planetary Health Learning Objectives: Foundational Knowledge For Global Health Education In An Era Of Climate Change., Kathryn H. Jacobsen, Caryl E Waggett, Pamela Berenbaum, Brett R. Bayles, Gail L. Carlson, René English, Carlos A. Faerron Guzmán, Meredith L. Gartin, Liz Grant, Thomas L. Henshaw, Lora L. Iannotti, Philip J Landrigan, Nina Lansbury, Hao Li, Maureen Y Lichtveld, Ketrell L Mcwhorter, Jessica E. Rettig, Cecilia J. Sorensen, Eric J Wetzel, Dawn Michele Whitehead, Peter J. Winch, Keith Martin
Planetary Health Learning Objectives: Foundational Knowledge For Global Health Education In An Era Of Climate Change., Kathryn H. Jacobsen, Caryl E Waggett, Pamela Berenbaum, Brett R. Bayles, Gail L. Carlson, René English, Carlos A. Faerron Guzmán, Meredith L. Gartin, Liz Grant, Thomas L. Henshaw, Lora L. Iannotti, Philip J Landrigan, Nina Lansbury, Hao Li, Maureen Y Lichtveld, Ketrell L Mcwhorter, Jessica E. Rettig, Cecilia J. Sorensen, Eric J Wetzel, Dawn Michele Whitehead, Peter J. Winch, Keith Martin
Global Public Health | Faculty Scholarship
Planetary health is an emerging field that emphasises that humans depend on a healthy Earth for survival and, conversely, that the sustainability of Earth systems is dependent on human behaviours. In response to member demands for resources to support teaching and learning related to planetary health, the Consortium of Universities for Global Health (CUGH) convened a working group to develop a set of planetary health learning objectives (PHLOs) that would complement the existing ten CUGH global health learning objectives. The eight PHLOs feature Earth system changes, planetary boundaries, and climate change science; ecological systems and One Health; human health outcomes; …
Toward Reliable Symptom Coding In Electronic Health Records For Symptom Assessment And Research: Identification And Categorization Of International Classification Of Diseases, Ninth Revision, Clinical Modification Symptom Codes, Tru Cao, Veronica Brady, Meagan Whisenant, Xueying Wang, Yuxuan Gu, Hulin Wu
Toward Reliable Symptom Coding In Electronic Health Records For Symptom Assessment And Research: Identification And Categorization Of International Classification Of Diseases, Ninth Revision, Clinical Modification Symptom Codes, Tru Cao, Veronica Brady, Meagan Whisenant, Xueying Wang, Yuxuan Gu, Hulin Wu
Faculty, Staff and Student Publications
To date, symptom documentation has mostly relied on clinical notes in electronic health records or patient-reported outcomes using disease-specific symptom inventories. To provide a common and precise language for symptom recording, assessment, and research, a comprehensive list of symptom codes is needed. The International Classification of Diseases, Ninth Revision or its clinical modification ( International Classification of Diseases, Ninth Revision, Clinical Modification ) has a range of codes designated for symptoms, but it does not contain codes for all possible symptoms, and not all codes in that range are symptom related. This study aimed to identify and categorize the first …
A Subcortical Model For Auditory Forward Masking With Efferent Control Of Cochlear Gain., Braden N. Maxwell, Afagh Farhadi, Marc A Brennan, Adam Svec, Laurel H. Carney
A Subcortical Model For Auditory Forward Masking With Efferent Control Of Cochlear Gain., Braden N. Maxwell, Afagh Farhadi, Marc A Brennan, Adam Svec, Laurel H. Carney
All Faculty Scholarship
Previous physiological and psychophysical studies have explored whether feedback to the cochlea from the efferent system influences forward masking. The present work proposes that the limited growth-of-masking (GOM) observed in auditory nerve (AN) fibers may have been misunderstood; namely, that this limitation may be due to the influence of anesthesia on the efferent system. Building on the premise that the unanesthetized AN may exhibit GOM similar to more central nuclei, the present computational modeling study demonstrates that feedback from the medial olivocochlear (MOC) efferents may contribute to GOM observed physiologically in onset-type neurons in both the cochlear nucleus and inferior …
Low-Acuity Pediatric Emergency Department Utilization, Lisa Ziemnik, Noah Parker, Kyra Bufi, Kristen Waters, Jacob Almeda, Adrienne Stolfi
Low-Acuity Pediatric Emergency Department Utilization, Lisa Ziemnik, Noah Parker, Kyra Bufi, Kristen Waters, Jacob Almeda, Adrienne Stolfi
Medical Education Faculty Publications
Objectives: Proper emergency department (ED) utilization is a hallmark of population health. Emergency department overcrowding due to nonurgent visits causes increased stress to healthcare staff, higher costs, and longer wait times for more urgent cases. This study sought to better understand post pandemic reasons caregivers have when bringing in their children for nonurgent visits and devise effective interventions to improve caregiver choice for non-ED care for nonurgent conditions.
Methods: Surveys were conducted at an urban pediatric hospital for Emergency Severity Index (ESI) level 3 to 5 visits. A total of 602 surveys were completed with 8 being excluded from analysis. …
Competency-Based Medical Education And The Education Continuum: Establishing A Framework For Lifelong Learning, Ann E. Burke, Daniel J. Sklansky, Hilary M. Haftel, Andrew Mitchell, Keith J. Mann
Competency-Based Medical Education And The Education Continuum: Establishing A Framework For Lifelong Learning, Ann E. Burke, Daniel J. Sklansky, Hilary M. Haftel, Andrew Mitchell, Keith J. Mann
Pediatrics Faculty Publications
Competency Based Medical Education (CBME) is built on the concept that the competencies of learners, both graduates and practicing physicians, should ensure they are ready to meet the ever-changing healthcare needs of patients.1, 2, 3 Education outcomes in a CBME system are defined based on the needs of patients, and in healthy CBME systems, there is a paradigm shift from a focus on process and teachers to outcomes and learners.2,4 CBME should occur across the continuum of one's career, from undergraduate medical education through retirement. Furthermore, learners must be accustomed to driving their own educational processes.4,5 This learner-centered perspective requires …
Targeting Undruggable Phosphatase Overcomes Trastuzumab Resistance By Inhibiting Multi-Oncogenic Kinases., Lu Wang, Yusheng Lin, Zhimeng Yao, Nipun Babu, Wan Lin, Chaoying Chen, Liang Du, Songwang Cai, Yunlong Pan, Xiao Xiong, Qiantao Ye, Hongzheng Ren, Dianzheng Zhang, Yexi Chen, Sai-Ching Jim Yeung, Edwin Bremer, Hao Zhang
Targeting Undruggable Phosphatase Overcomes Trastuzumab Resistance By Inhibiting Multi-Oncogenic Kinases., Lu Wang, Yusheng Lin, Zhimeng Yao, Nipun Babu, Wan Lin, Chaoying Chen, Liang Du, Songwang Cai, Yunlong Pan, Xiao Xiong, Qiantao Ye, Hongzheng Ren, Dianzheng Zhang, Yexi Chen, Sai-Ching Jim Yeung, Edwin Bremer, Hao Zhang
PCOM Scholarly Works
AIMS: Resistance to targeted therapy is one of the critical obstacles in cancer management. Resistance to trastuzumab frequently develops in the treatment for HER2
METHODS: Four public datasets were used to screen PTP candidates in relation to trastuzumab responsiveness in HER2
RESULTS: PTPRO was identified as the key PTP which influences trastuzumab responsiveness and patient survival. PTPRO de-phosphorated several TKs, including the previously overlooked substrate ERBB3, thereby inhibiting multiple oncogenic pathways associated with drug resistance. Notably, PTPRO, previously deemed "undruggable," was effectively upregulated by saRNA-loaded nanoparticles. The upregulated PTPRO simultaneously inhibited ERBB3, ERBB2, and downstream SRC signaling pathways, thereby counteracting …
Systematically Assessing The Quality Of Dental Electronic Health Record Data For An Investigation Into Oral Health Care Disparities, Krishna Kumar Kookal, Muhammad F Walji, Ryan Brandon, Ferit Kivanc, Elizabeth Mertz, Aubri Kottek, Joanna Mullins, Shuang Liang, Larry E Jenson, Joel M White
Systematically Assessing The Quality Of Dental Electronic Health Record Data For An Investigation Into Oral Health Care Disparities, Krishna Kumar Kookal, Muhammad F Walji, Ryan Brandon, Ferit Kivanc, Elizabeth Mertz, Aubri Kottek, Joanna Mullins, Shuang Liang, Larry E Jenson, Joel M White
Faculty, Staff and Student Publications
Objectives: This work describes the process by which the quality of electronic health care data for a public health study was determined. The objectives were to adapt, develop, and implement data quality assessments (DQAs) based on the National Institutes of Health Pragmatic Trials Collaboratory (NIHPTC) data quality framework within the three domains of completeness, accuracy, and consistency, for an investigation into oral health care disparities of a preventive care program.
Methods: Electronic health record data for eligible children in a dental accountable care organization of 30 offices, in Oregon, were extracted iteratively from January 1, 2014, through March 31, 2022. …
Ataxia Telangiectasia And Rad3-Related (Atr) Inhibitor Camonsertib Dose Optimization In Patients With Biomarker-Selected Advanced Solid Tumors (Tresr Study), Elisa Fontana, Ezra Rosen, Elizabeth K Lee, Martin Højgaard, Niharika B Mettu, Stephanie Lheureux, Benedito A Carneiro, Gregory M Cote, Louise Carter, Ruth Plummer, Devalingam Mahalingam, Adrian J Fretland, Joseph D Schonhoft, Ian M Silverman, Marisa Wainszelbaum, Yi Xu, Danielle Ulanet, Maria Koehler, Timothy A Yap
Ataxia Telangiectasia And Rad3-Related (Atr) Inhibitor Camonsertib Dose Optimization In Patients With Biomarker-Selected Advanced Solid Tumors (Tresr Study), Elisa Fontana, Ezra Rosen, Elizabeth K Lee, Martin Højgaard, Niharika B Mettu, Stephanie Lheureux, Benedito A Carneiro, Gregory M Cote, Louise Carter, Ruth Plummer, Devalingam Mahalingam, Adrian J Fretland, Joseph D Schonhoft, Ian M Silverman, Marisa Wainszelbaum, Yi Xu, Danielle Ulanet, Maria Koehler, Timothy A Yap
Faculty, Staff and Student Publications
BACKGROUND: Camonsertib is a selective oral inhibitor of ataxia telangiectasia and Rad3-related (ATR) kinase with demonstrated efficacy in tumors with DNA damage response gene deficiencies. On-target anemia is the main drug-related toxicity typically manifesting after the period of dose-limiting toxicity evaluation. Thus, dose and schedule optimization requires extended follow-up to assess prolonged treatment effects.
METHODS: Long-term safety, tolerability, and antitumor efficacy of 3 camonsertib monotherapy dosing regimens were assessed in the TRESR study dose-optimization phase: 160 mg once daily (QD) 3 days on, 4 days off (160 3/4; the preliminary recommended Phase II dose [RP2D]) and two step-down groups of …
Identification Of Hypoxia-Alcamhigh Macrophage- Exhausted T Cell Axis In Tumor Microenvironment Remodeling For Immunotherapy Resistance, Zhenzhen Xun, Huanran Zhou, Mingyi Shen, Yao Liu, Chengcao Sun, Yanhua Du, Zhou Jiang, Liuqing Yang, Qing Zhang, Chunru Lin, Qingsong Hu, Youqiong Ye, Leng Han
Identification Of Hypoxia-Alcamhigh Macrophage- Exhausted T Cell Axis In Tumor Microenvironment Remodeling For Immunotherapy Resistance, Zhenzhen Xun, Huanran Zhou, Mingyi Shen, Yao Liu, Chengcao Sun, Yanhua Du, Zhou Jiang, Liuqing Yang, Qing Zhang, Chunru Lin, Qingsong Hu, Youqiong Ye, Leng Han
Faculty, Staff and Student Publications
Although hypoxia is known to be associated with immune resistance, the adaptability to hypoxia by different cell populations in the tumor microenvironment and the underlying mechanisms remain elusive. This knowledge gap has hindered the development of therapeutic strategies to overcome tumor immune resistance induced by hypoxia. Here, bulk, single-cell, and spatial transcriptomics are integrated to characterize hypoxia associated with immune escape during carcinogenesis and reveal a hypoxia-based intercellular communication hub consisting of malignant cells, ALCAM
Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu
Ensemble Pretrained Language Models To Extract Biomedical Knowledge From Literature, Zhao Li, Qiang Wei, Liang-Chin Huang, Jianfu Li, Yan Hu, Yao-Shun Chuang, Jianping He, Avisha Das, Vipina Kuttichi Keloth, Yuntao Yang, Chiamaka S Diala, Kirk E Roberts, Cui Tao, Xiaoqian Jiang, W Jim Zheng, Hua Xu
Faculty, Staff and Student Publications
OBJECTIVES: The rapid expansion of biomedical literature necessitates automated techniques to discern relationships between biomedical concepts from extensive free text. Such techniques facilitate the development of detailed knowledge bases and highlight research deficiencies. The LitCoin Natural Language Processing (NLP) challenge, organized by the National Center for Advancing Translational Science, aims to evaluate such potential and provides a manually annotated corpus for methodology development and benchmarking.
MATERIALS AND METHODS: For the named entity recognition (NER) task, we utilized ensemble learning to merge predictions from three domain-specific models, namely BioBERT, PubMedBERT, and BioM-ELECTRA, devised a rule-driven detection method for cell line and …
Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Improving Large Language Models For Clinical Named Entity Recognition Via Prompt Engineering, Yan Hu, Qingyu Chen, Jingcheng Du, Xueqing Peng, Vipina Kuttichi Keloth, Xu Zuo, Yujia Zhou, Zehan Li, Xiaoqian Jiang, Zhiyong Lu, Kirk Roberts, Hua Xu
Faculty, Staff and Student Publications
IMPORTANCE: The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data. By developing and refining prompt-based strategies, we can significantly enhance the models' performance, making them viable tools for clinical NER tasks and possibly reducing the reliance on extensive annotated datasets.
OBJECTIVES: This study quantifies the capabilities of GPT-3.5 and GPT-4 for clinical named entity recognition (NER) tasks and proposes task-specific prompts to improve their performance.
MATERIALS AND METHODS: We evaluated these models on 2 clinical NER tasks: (1) to extract medical problems, treatments, …
Target Engagement And Immunogenicity Of An Active Immunotherapeutic Targeting Pathological Α-Synuclein: A Phase 1 Placebo-Controlled Trial, Pepijn Eijsvogel, Pinaki Misra, Luis Concha-Marambio, Justin D Boyd, Shuang Ding, Lauren Fedor, Yueh-Ting Hsieh, Yu Shuang Sun, Madeline M Vroom, Carly M Farris, Yihua Ma, Marieke L De Kam, Igor Radanovic, Maurits F J M Vissers, Dario Mirski, Ghazal Shareghi, Mohammad Shahnawaz, Wolfgang Singer, Philip Kremer, Geert Jan Groeneveld, Hui Jing Yu, Jean-Cosme Dodart
Target Engagement And Immunogenicity Of An Active Immunotherapeutic Targeting Pathological Α-Synuclein: A Phase 1 Placebo-Controlled Trial, Pepijn Eijsvogel, Pinaki Misra, Luis Concha-Marambio, Justin D Boyd, Shuang Ding, Lauren Fedor, Yueh-Ting Hsieh, Yu Shuang Sun, Madeline M Vroom, Carly M Farris, Yihua Ma, Marieke L De Kam, Igor Radanovic, Maurits F J M Vissers, Dario Mirski, Ghazal Shareghi, Mohammad Shahnawaz, Wolfgang Singer, Philip Kremer, Geert Jan Groeneveld, Hui Jing Yu, Jean-Cosme Dodart
Faculty, Staff and Student Publications
Investigational therapeutics that target toxic species of α-synuclein (αSyn) aim to slow down or halt disease progression in patients with Parkinson's disease (PD). Here this 44-week, randomized, placebo-controlled, double-blind, single-center phase 1 study investigated safety, tolerability and immunogenicity of UB-312, an active immunotherapeutic targeting pathological αSyn, in patients with PD. The primary outcome measures were adverse event frequency and change in anti-αSyn antibody titers in blood and cerebrospinal fluid (CSF). Exploratory outcomes were changes in clinical scales and biomarker-based target engagement as measured by seed amplification assays. Twenty patients were randomized 7:3 (UB-312:placebo) into 300/100/100 μg or 300/300/300 μg (weeks …
Automatic Vessel Attenuation Measurement For Quality Control Of Contrast-Enhanced Ct: Validation On The Portal Vein, Kevin Mccoy, Sujay Marisetty, Dominique Tan, Corey T Jensen, Jeffrey H Siewerdsen, Christine B Peterson, Moiz Ahmad
Automatic Vessel Attenuation Measurement For Quality Control Of Contrast-Enhanced Ct: Validation On The Portal Vein, Kevin Mccoy, Sujay Marisetty, Dominique Tan, Corey T Jensen, Jeffrey H Siewerdsen, Christine B Peterson, Moiz Ahmad
Faculty, Staff and Student Publications
Background: Adequate image enhancement of organs and blood vessels of interest is an important aspect of image quality in contrast-enhanced computed tomography (CT). There is a need for an objective method for evaluation of vessel contrast that can be automatically and systematically applied to large sets of CT exams.
Purpose: The purpose of this work was to develop a method to automatically segment and measure attenuation Hounsfield Unit (HU) in the portal vein (PV) in contrast-enhanced abdomen CT examinations.
Methods: Input CT images were processed by a vessel enhancing filter to determine candidate PV segmentations. Multiple machine learning (ML) classifiers …
Chemical Screening By Time-Resolved X-Ray Scattering To Discover Allosteric Probes, Chris A Brosey, Todd M Link, Runze Shen, Davide Moiani, Kathryn Burnett, Greg L Hura, Darin E Jones, John A Tainer
Chemical Screening By Time-Resolved X-Ray Scattering To Discover Allosteric Probes, Chris A Brosey, Todd M Link, Runze Shen, Davide Moiani, Kathryn Burnett, Greg L Hura, Darin E Jones, John A Tainer
Faculty, Staff and Student Publications
Drug discovery relies on efficient identification of small-molecule leads and their interactions with macromolecular targets. However, understanding how chemotypes impact mechanistically important conformational states often remains secondary among high-throughput discovery methods. Here, we present a conformational discovery pipeline integrating time-resolved, high-throughput small-angle X-ray scattering (TR-HT-SAXS) and classic fragment screening applied to allosteric states of the mitochondrial import oxidoreductase apoptosis-inducing factor (AIF). By monitoring oxidized and X-ray-reduced AIF states, TR-HT-SAXS leverages structure and kinetics to generate a multidimensional screening dataset that identifies fragment chemotypes allosterically stimulating AIF dimerization. Fragment-induced dimerization rates, quantified with time-resolved SAXS similarity analysis (k
Artificial Intelligence-Based Segmentation Of Residual Pancreatic Cancer In Resection Specimens Following Neoadjuvant Treatment (Isgpp-2): International Improvement And Validation Study, Boris V Janssen, Bart Oteman, Mahsoem Ali, Pieter A Valkema, Volkan Adsay, Olca Basturk, Deyali Chatterjee, Angela Chou, Stijn Crobach, Michael Doukas, Paul Drillenburg, Irene Esposito, Anthony J Gill, Seung-Mo Hong, Casper Jansen, Mike Kliffen, Anubhav Mittal, Jas Samra, Marie-Louise F Van Velthuysen, Aslihan Yavas, Geert Kazemier, Joanne Verheij, Ewout Steyerberg, Marc G Besselink, Huamin Wang, Caroline Verbeke, Arantza Fariña, Onno J De Boer, Pancreatobiliary And Hepatic Artificial Intelligence Research (Phair) Consortium, International Study Group Of Pancreatic Pathologists (Isgpp);
Artificial Intelligence-Based Segmentation Of Residual Pancreatic Cancer In Resection Specimens Following Neoadjuvant Treatment (Isgpp-2): International Improvement And Validation Study, Boris V Janssen, Bart Oteman, Mahsoem Ali, Pieter A Valkema, Volkan Adsay, Olca Basturk, Deyali Chatterjee, Angela Chou, Stijn Crobach, Michael Doukas, Paul Drillenburg, Irene Esposito, Anthony J Gill, Seung-Mo Hong, Casper Jansen, Mike Kliffen, Anubhav Mittal, Jas Samra, Marie-Louise F Van Velthuysen, Aslihan Yavas, Geert Kazemier, Joanne Verheij, Ewout Steyerberg, Marc G Besselink, Huamin Wang, Caroline Verbeke, Arantza Fariña, Onno J De Boer, Pancreatobiliary And Hepatic Artificial Intelligence Research (Phair) Consortium, International Study Group Of Pancreatic Pathologists (Isgpp);
Faculty, Staff and Student Publications
Neoadjuvant therapy (NAT) has become routine in patients with borderline resectable pancreatic cancer. Pathologists examine pancreatic cancer resection specimens to evaluate the effect of NAT. However, an automated scoring system to objectively quantify residual pancreatic cancer (RPC) is currently lacking. Herein, we developed and validated the first automated segmentation model using artificial intelligence techniques to objectively quantify RPC. Digitized histopathological tissue slides were included from resected pancreatic cancer specimens from 14 centers in 7 countries in Europe, North America, Australia, and Asia. Four different scanner types were used: Philips (56%), Hamamatsu (27%), 3DHistech (10%), and Leica (7%). Regions of interest …
Premalignant Progression In The Lung: Knowledge Gaps And Novel Opportunities For Interception Of Non-Small Cell Lung Cancer An Official American Thoracic Society Research Statement, Seyed Javad Moghaddam, Rajkumar Savai, Ramin Salehi-Rad, Shreoshi Sengupta, Michael N Kammer, Pierre Massion, Jennifer E Beane, Edwin J Ostrin, Carmen Priolo, Meredith A Tennis, Laura P Stabile, Alison K Bauer, Catherine R Sears, Eva Szabo, M Patricia Rivera, Charles A Powell, Humam Kadara, Brendan J Jenkins, Steven M Dubinett, A Mcgarry Houghton, Carla F Kim, Robert L Keith
Premalignant Progression In The Lung: Knowledge Gaps And Novel Opportunities For Interception Of Non-Small Cell Lung Cancer An Official American Thoracic Society Research Statement, Seyed Javad Moghaddam, Rajkumar Savai, Ramin Salehi-Rad, Shreoshi Sengupta, Michael N Kammer, Pierre Massion, Jennifer E Beane, Edwin J Ostrin, Carmen Priolo, Meredith A Tennis, Laura P Stabile, Alison K Bauer, Catherine R Sears, Eva Szabo, M Patricia Rivera, Charles A Powell, Humam Kadara, Brendan J Jenkins, Steven M Dubinett, A Mcgarry Houghton, Carla F Kim, Robert L Keith
Faculty, Staff and Student Publications
Rationale: Despite significant advances in precision treatments and immunotherapy, lung cancer is the most common cause of cancer death worldwide. To reduce incidence and improve survival rates, a deeper understanding of lung premalignancy and the multistep process of tumorigenesis is essential, allowing timely and effective intervention before cancer development. Objectives: To summarize existing information, identify knowledge gaps, formulate research questions, prioritize potential research topics, and propose strategies for future investigations into the premalignant progression in the lung. Methods: An international multidisciplinary team of basic, translational, and clinical scientists reviewed available data to develop and refine research questions pertaining to the …
A Pilot Study Of The Cd38 Antagonist Daratumumab In Patients With Metastatic Renal Cell Carcinoma Or Muscle-Invasive Bladder Cancer, Matthew T Campbell, Amishi Y Shah, Pavlos Msaouel, Nizar M Tannir, Arlene O Siefker-Radtke, Ashish M Kamat, Neema Navai, Colin P N Dinney, Priya Rao, Charles C Guo, Rahul A Sheth, Aradhana M Venkatesan, Rebecca S Tidwell, Shalini S Yadav, Aidi Gu, Hong Chen, Marc Macaluso, Fei Duan, Sreyashi Basu, Sonali Jindal, Padmanee Sharma
A Pilot Study Of The Cd38 Antagonist Daratumumab In Patients With Metastatic Renal Cell Carcinoma Or Muscle-Invasive Bladder Cancer, Matthew T Campbell, Amishi Y Shah, Pavlos Msaouel, Nizar M Tannir, Arlene O Siefker-Radtke, Ashish M Kamat, Neema Navai, Colin P N Dinney, Priya Rao, Charles C Guo, Rahul A Sheth, Aradhana M Venkatesan, Rebecca S Tidwell, Shalini S Yadav, Aidi Gu, Hong Chen, Marc Macaluso, Fei Duan, Sreyashi Basu, Sonali Jindal, Padmanee Sharma
Faculty, Staff and Student Publications
PURPOSE: We performed a pilot study of daratumumab (an mAb directed against CD38) in muscle-invasive bladder cancer (MIBC) and treatment-refractory metastatic renal cell carcinoma (mRCC).
EXPERIMENTAL DESIGN: Patients with MIBC underwent baseline transurethral resection of the bladder tumor followed by four weekly doses of daratumumab prior to cystectomy. Patients with mRCC underwent baseline and sequential biopsies after eight weekly doses. The primary endpoint was safety. The secondary endpoints were pathologic complete response rate for the MIBC cohort and objective response rate and progression-free survival for the mRCC cohort. Exploratory analyses included immune monitoring and overall survival. A Bayesian sequential monitoring …
Admixture Mapping Of Cognitive Function In Diverse Hispanic And Latino Adults: Results From The Hispanic Community Health Study/Study Of Latinos, Rui Xia, Xueqiu Jian, Amanda L Rodrigue, Jan Bressler, Eric Boerwinkle, Biqi Cui, Martha L Daviglus, Charles Decarli, Linda C Gallo, David C Glahn, Emma E M Knowles, Jee-Young Moon, Thomas H Mosley, Claudia L Satizabal, Tamar Sofer, Wassim Tarraf, Fernando Testai, John Blangero, Sudha Seshadri, Hector M González, Myriam Fornage
Admixture Mapping Of Cognitive Function In Diverse Hispanic And Latino Adults: Results From The Hispanic Community Health Study/Study Of Latinos, Rui Xia, Xueqiu Jian, Amanda L Rodrigue, Jan Bressler, Eric Boerwinkle, Biqi Cui, Martha L Daviglus, Charles Decarli, Linda C Gallo, David C Glahn, Emma E M Knowles, Jee-Young Moon, Thomas H Mosley, Claudia L Satizabal, Tamar Sofer, Wassim Tarraf, Fernando Testai, John Blangero, Sudha Seshadri, Hector M González, Myriam Fornage
Faculty, Staff and Student Publications
INTRODUCTION: We conducted admixture mapping and fine-mapping analyses to identify ancestry-of-origin loci influencing cognitive abilities.
METHODS: We estimated the association of local ancestry intervals across the genome with five neurocognitive measures in 7140 diverse Hispanic and Latino adults (mean age 55 years). We prioritized genetic variants in associated loci and tested them for replication in four independent cohorts.
RESULTS: We identified nine local ancestry-associated regions for the five neurocognitive measures. There was strong biological support for the observed associations to cognitive function at all loci and there was statistical evidence of independent replication at 4q12, 9p22.1, and 13q12.13.
DISCUSSION: Our …
Bidirectional Associations Between Mental Health Disorders And Chronic Diabetic Complications In Individuals With Type 1 Or Type 2 Diabetes., Maya Watanabe, Evan L Reynolds, Mousumi Banerjee, Morten Charles, Kara Mizokami-Stout, Dana Albright, Lynn Ang, Joyce M Lee, Rodica Pop-Busui, Eva L Feldman, Brian C Callaghan
Bidirectional Associations Between Mental Health Disorders And Chronic Diabetic Complications In Individuals With Type 1 Or Type 2 Diabetes., Maya Watanabe, Evan L Reynolds, Mousumi Banerjee, Morten Charles, Kara Mizokami-Stout, Dana Albright, Lynn Ang, Joyce M Lee, Rodica Pop-Busui, Eva L Feldman, Brian C Callaghan
Health Services and Informatics Research
OBJECTIVE: To determine bidirectional associations between the timing of chronic diabetes complications (CDCs) and mental health disorders (MHDs) in individuals with type 1 or type 2 diabetes.
RESEARCH DESIGN AND METHODS: We used a nationally representative health care claims database to identify matched individuals with type 1 or 2 diabetes or without diabetes using a propensity score quasirandomization technique stratified by age (0-19, 20-39, 40-59, and ≥60 years). CDCs and MHDs were identified using ICD-9/10 codes. We fit Cox proportional hazards models with time-varying diagnoses of CDCs or MHDs to investigate their association with the hazard of developing MHDs or …