Digital Commons Network^™

Reference Dosimetry Data And Machine Performance Comparison For Tomotherapy Delivery Systems Audited By Iroc, Paige A Taylor, Hunter Mehrens, Mallory C Glenn, Fre'etta Brooks, Hayden Scott, Lian Duan, Taylor Meyers, Diana Carrasco Rojas, Michael Yang, Paola Alvarez, Jessica Lowenstein, Andrea Molineu, Stephen F Kry

Faculty, Staff and Student Publications

The aim of this work was to compare the imaging and radiation oncology core (IROC) on-site TomoTherapy dosimetry measurement results among institutions and generate a dataset of basic dosimetric properties for TomoTherapy units. Independent ion chamber measurements for nine TomoTherapy units were acquired by IROC physicists between 2008 and 2023. Measurements included percent depth dose (PDD) in a water tank and off axis factors (OAF) in a solid Polystyrene phantom. The independent measurements collected during the on-site audits for each TomoTherapy system were compared to corresponding TomoTherapy TPS calculations from the institution to assess agreement. Numeric measurement values and comparative …

Periostin Promotes Sarcoma Growth By Promoting Tumor-Associated Macrophage Migration And Differentiation, Jin-Fen Xiao, Kristin Ishaya, Emily Y Ko, Annaliese Fowler, Marina T Broz, Jlenia Guarnerio

Faculty, Staff and Student Publications

Soft-tissue sarcomas (STS) are characterized by abundant extracellular matrix (ECM) deposition, yet the functional contribution of specific ECM components remains poorly understood. In this study, we identify periostin (POSTN), a matricellular protein, as a regulator of sarcoma progression and the tumor immune microenvironment. Analysis of human sarcoma datasets revealed that high POSTN expression correlates with poor prognosis and elevated expression of ECM-related and myeloid cell–associated genes. In murine genetic models of sarcoma, tumors expressing high levels of Postn displayed enhanced expression of ECM genes and monocyte-recruiting cytokines. Functional silencing of Postnin vivo reduced tumor growth without altering tumor cell …

Experimental Design And Control Methods For Dose Rate Optimization In A Synchrotron-Based Proton Therapy Beamline, Jason Tang, Daniel Liu, Jacob Mathew, Sabrina Campelo, Lawrence Bronk, Paige Taylor, Yuting Li, Fada Guan

Faculty, Staff and Student Publications

Background: Ultra-high dose rate radiotherapy (typically defined >40 Gy/s) has shown promise for enhanced normal tissue sparing while maintaining tumor control, termed the FLASH effect when this biological response is observed. However, precise dose rate control remains a technical challenge in proton therapy systems, particularly for research applications investigating dose rate effects.

Purpose: To develop and validate a passive beam modulation technique using tungsten scatterers for controllable dose rate adjustment in a synchrotron-based proton therapy beamline without modifying accelerator parameters.

Methods: We investigated dose rate modulation using tungsten foils of varying thicknesses (0.1-3.5 mm) positioned upstream in an 87.2 MeV …

Activity-Dependent Transit Dose Assessment In 192ir High-Dose-Rate Brachytherapy Surface Applicator Using Gafchromictm Ebt4 Film, Daniel Liu, Emily Draeger, Christopher J Tien, Fada Guan

Faculty, Staff and Student Publications

Purpose: To characterize the newly released GafChromicTM EBT4 film for transit dose measurement in high-dose rate brachytherapy (HDR-BT) surface applicators and to systematically investigate the relationship between transit dose and 192Ir source activity.

Methods: EBT4 film was used to measure dose at 3 mm depth from a horizontally oriented Leipzig-style surface applicator connected to a 192Ir HDR-BT remote afterloading unit. Transit dose was systematically characterized across eight different source activities ranging from 3.372 to 9.716 Ci (13,724 U to 39,544 U) using measurements with seven nominal dwell times (5-100 seconds, scaled to 10 Ci (40,700 U)). Transit dose was derived …

Sahrang: Subarachnoid Hemorrhage Recovery And Galantamine: A Pilot Multicenter Randomized Placebo-Controlled Trial, Bosco Seong Kyu Yang, Jude P J Savarraj, Elena Moreno, Kevin E Immanuel, Georgene Hergenroeder, Glenda Torres, Jung Hwan Kim, Sophie Samuel, Claudia Pedroza, James C Grotta, Andrew Barreto, H Alex Choi

Faculty, Staff and Student Publications

Background: Subarachnoid hemorrhage (SAH) causes life-long neurologic dysfunction. Peripheral inflammatory processes as a reaction to brain injury have been shown to worsen outcomes after SAH. Galantamine has been shown to reduce proinflammatory microglial activities and improve synaptic connections. We hypothesize that galantamine treatment after SAH mitigates inflammation-mediated neuronal injury and improve outcomes. We conducted a pilot clinical trial to examine the tolerability and safety of galantamine in patients with SAH.

Methods: This prospective, multicenter, double-masked, randomized, placebo-controlled study contiguously screened and enrolled adult patients presenting with aneurysmal SAH with a Fisher grade of 3 within 72 h of symptom onset. …

Symptom Burden, Healthcare Utilization, And Risky Behaviors In Survivors Of The Childhood Cancer Survivor Study (Ccss): An Observation Cohort Study, Rachel Webster, Deo Kumar Srivastava, Lu Xie, Himani Darji, Wei Liu, Meghan E Mcgrady, Tara M Brinkman, Nicole M Alberts, Kirsten K Ness, Bernard Fuemmeler, Alicia S Kunin-Batson, I-Chan Huang, Gregory T Armstrong, Rebecca M Howell, Daniel M Green, Yutaka Yasui, Kevin R Krull

Faculty, Staff and Student Publications

Background: Childhood cancer survivors face physical, psychological, and neurological symptoms that contribute to risky health behaviors and increased healthcare utilization. Traditional survivorship care models overlook risk associated with this symptom burden. The current study examined symptoms phenotypes to identify high-risk groups.

Methods: Five-year survivors (N = 17,231; Mean [standard deviation] age = 27.4 [5.98]; 80% non-Hispanic White; 48% female) from the Childhood Cancer Survivor Study (NCT01120353) self-reported symptoms and risky behavior at baseline and first follow-up (original cohort data collection: baseline 1994-1998 and follow-up 2002-2004; expansion cohort: baseline 2008-2010 and follow-up 2014-2016). Medical records were extracted through chart …

Meniscal Repair In The Setting Of Revision Anterior Cruciate Ligament Reconstruction: 6-Year Follow-Up Results From The Mars Cohort, Jake A Fox, Laura J Huston, Amanda K Haas, Jacquelyn S Pennings, Christina R Allen, Daniel E Cooper, Thomas M Deberardino, Warren R Dunn, Brett Brick A Lantz, Kurt P Spindler, Michael J Stuart, Annunziato Ned Amendola, Christopher C Annunziata, Robert A Arciero, Bernard R Bach, Champ L Baker, Arthur R Bartolozzi, Keith M Baumgarten, Jeffrey H Berg, Geoffrey A Bernas, Stephen F Brockmeier, Robert H Brophy, Charles A Bush-Joseph, J Brad Butler V, James L Carey, James E Carpenter, Brian J Cole, Jonathan M Cooper, Charles L Cox, R Alexander Creighton, Tal S David, David C Flanigan, Robert W Frederick, Theodore J Ganley, Charles J Gatt, Steven R Gecha, James Robert Giffin, Sharon L Hame, Jo A Hannafin, Christopher D Harner, Norman Lindsay Harris, Keith S Hechtman, Elliott B Hershman, Rudolf G Hoellrich, David C Johnson, Timothy S Johnson, Morgan H Jones, Christopher C Kaeding, Ganesh V Kamath, Thomas E Klootwyk, Bruce A Levy, C Benjamin Ma, G Peter Maiers, Robert G Marx, Matthew J Matava, Gregory M Mathien, David R Mcallister, Eric C Mccarty, Robert G Mccormack, Bruce S Miller, Carl W Nissen, Daniel F O'Neill, Brett D Owens, Richard D Parker, Mark L Purnell, Arun J Ramappa, Michael A Rauh, Arthur C Rettig, Jon K Sekiya, Kevin G Shea, Orrin H Sherman, James R Slauterbeck, Matthew V Smith, Jeffrey T Spang, Col Ret Steven J Svoboda, Timothy N Taft, Joachim J Tenuta, Edwin M Tingstad, Armando F Vidal, Darius G Viskontas, Richard A White, James S Williams, Michelle L Wolcott, Brian R Wolf, James J York, Rick W Wright

Faculty, Staff and Student Publications

Background: Meniscal preservation has been demonstrated to contribute to long-term knee health and has been a successful intervention in isolation and in patients with anterior cruciate ligament reconstruction (ACLR). The long-term results of meniscal repair in the setting of revision ACLR have yet to be documented.

Purpose: To report the incidence of meniscal repair failures at the 6-year follow-up in a cohort of patients who underwent concurrent revision ACLR and primary meniscal repair.

Study design: Prospective cohort study; Level of evidence, 2.

Methods: All revision ACLRs with concomitant primary meniscal repair cases from a multicenter group between 2006 and 2011 …

Tubulin Regulates Stability And Localization Of Stmn2 By Binding Preferentially To Its Soluble Form, Xiang Deng, Gary A Bradshaw, Marian Kalocsay, Timothy Mitchison

Faculty, Staff and Student Publications

The small, tubulin-binding protein STMN2 is highly expressed in neurons and is implicated in amyotrophic lateral sclerosis. STMN2 degrades rapidly and accumulates at axotomy sites, suggesting fast turnover is crucial for its neuroprotective function. We show that STMN2 was primarily degraded by the ubiquitin-proteasome system. Its membrane-targeting N-terminal domain promoted fast turnover, whereas its tubulin-binding domain promoted stabilization. Proximity labeling and imaging showed that tubulin binding reduced STMN2 targeting to trans-Golgi network membranes. Pull-down assays showed that tubulin binds preferentially to soluble over membrane-bound STMN2. Our observations suggest that STMN2 interconverts between a soluble, tubulin-bound form and a membrane-bound, tubulin-free …

Decoding Fibrosis In Nonresolvable Covid-19: A Role For Myeloid-Specific Hif1a Deletion, Kemly Philip, Hannah P Thompson, Scott D Collum, Isabella Lefebvre, Bindu Akkanti, Bihong Zhao, Rahat Hussain, Manish Patel, Michael R Blackburn, Tingting W Mills, Harry Karmouty-Quintana

Faculty, Staff and Student Publications

A complication of viral lung infections is the development of pulmonary fibrosis. This phenomenon is most evident in patients with COVID-19, where in its most aggressive form patients developed nonresolvable (NR) COVID-19 requiring lung transplantation. NR-COVID-19 was characterized by the presentation of a fulminant fibrotic lung injury that progressed rapidly, even in patients with limited comorbidities. However, the mechanisms that led to this rapidly progressing form of fibrosis are not fully understood. A common clinical manifestation in the most severe cases of COVID-19 was the presence of "silent" hypoxemia. Thus, we hypothesized that a dysfunctional hypoxic response may result in …

A Person-Centered Approach To Digital Health Technologies For Cancer Prevention: Qualitative Findings On Use Of Technology-Based Interventions In Houston, Texas, Preena Loomba, Scherezade Mama, Thuan Le, Stacy Mitchell, Elizabeth Dominguez, Karen Basen-Engquist, Larkin L Strong

Faculty, Staff and Student Publications

Objectives: Physical inactivity, poor nutrition, and obesity are significant, yet preventable contributors to morbidity and mortality among adults. This qualitative study examined internet access and technology use, and barriers and facilitators to engaging in digital cancer prevention programs.

Methods: We conducted 30-60-min semi-structured interviews of Hispanic adults (n = 12) and cancer survivors (n = 10) from two lifestyle intervention trials (September 2021-April 2022) in Houston, Texas, who transitioned from in-person to virtual delivery during the COVID-19 pandemic. Interviews examined in-person versus virtual experiences and were thematically analyzed.

Results: Participants (95 % women, mean age for Hispanic adults …

Fludarabine Lymphodepletion Exposure Is Associated With Toxicities After Idecabtagene-Vicleucel In Relapsed/Refractory Multiple Myeloma: Real-World Experience From The Us Myeloma Immunotherapy Consortium, Karen Sweiss, Charlotte Wagner, Eric Anto, Tom Greene, Ryan Sun, Rebecca Gonzalez, Omar Castaneda Puglianini, Ciara Freeman, Filip Ionescu, Krina Patel, Christopher Ferreri, Mahmoud Gaballa, Leyla Shune, Joseph Mcguirk, Surbhi Sidana, Vanna Hovanky, Jack Khouri, Shahzad Raza, Faiz Anwer, Danai Dima, Hamza Hashmi, James Davis, Aimaz Afrough, Gurbakhash Kaur, Larry Anderson, Peter Forsberg, Megan Herr, Doris K Hansen, Mehmet Hakan Kocoglu, Douglas Sborov

Faculty, Staff and Student Publications

Background: Idecabtagene vicleucel (ide-cel) is a BCMA-directed CAR-T associated with high response rates in relapsed/refractory multiple myeloma (RRMM), yet responses are not durable and most patients experience toxicities. Fludarabine (Flu) is a key component of lymphodepletion but exhibits significant pharmacokinetic (PK) variability.

Objective: Given Flu exposure (AUC) predicts outcomes after CD19-directed CAR-T, we hypothesized it would predict outcomes after ide-cel. Our objective was to determine the association between fludarabine AUC and clinical outcomes after standard-of-care (SOC) ide-cel.

Study design: RRMM patients receiving ide-cel from 10 US Multiple Myeloma Immunotherapy Consortium centers were retrospectively analyzed. A population PK approach using cumulative …

Forecasting Chemoradiation Response Midtreatment For High-Grade Gliomas Through Patient-Specific Biology-Based Modeling, David A Hormuth, Maguy Farhat, Bikash Panthi, Holly Langshaw, Mihir D Shanker, Wasif Talpur, Sara Thrower, Jodi Goldman, Sophia Ty, Calliope Custer, Jeanne Kowalski, Thomas E Yankeelov, Caroline Chung

Faculty, Staff and Student Publications

Purpose: The entire course of radiation therapy (RT) for high-grade glioma (HGG) is currently derived from pre-RT magnetic resonance imaging (MRI). Although it is possible to adapt RT during the course of treatment, it is often guided only by anatomical changes to the tumor. This study seeks to determine if a biology-based mathematical model, parameterized by patient-specific, multiparametric MRI (mpMRI) data, can accurately forecast HGG response during RT.

Methods and materials: Twenty one patients with HGG planned for 6 weeks of concurrent RT and chemotherapy were imaged weekly with mpMRI during RT and at 1, 2, and 3 months post-RT. …

Cutting Edge Developments In Bone Oncology – Highlights From The Cancer And Bone Society 2024 Annual Meeting, Deanna N Edwards, Shreya Patel, Gabriel M Pagnotti

Faculty, Staff and Student Publications

The 2024 Annual Conference of the Cancer and Bone Society (CABS), held jointly with the Bone Research Society at the University of Sheffield, highlighted the Society's enduring mission to advance understanding of cancer-bone interactions through collaboration, mentorship, and scientific excellence. Established from the early Cancer Induced Bone Disease meetings and re-emerging as an independent body in 2016, CABS continues to serve as a global community bridging basic, translational, and clinical research. This year's meeting featured a comprehensive scientific program spanning tumor-bone biology, therapeutic innovation, and microenvironmental regulation. Clinical sessions emphasized the evolution of bone-targeted treatments such as bisphosphonates, denosumab, and …

Regional Brain Morphology And Current Antidepressant Use: Findings From 32 International Cohorts From The Enigma Major Depressive Disorder Working Group, Chaira Serrarens, Yara J Toenders, Elena Pozzi, André Aleman, Nina Alexander, Zeynep Başgöze, Vladimir Belov, Klaus Berger, Katharina Brosch, Robin Bülow, Geraldo Filho Busatto, Liliana P Capitão, Colm G Connolly, Baptiste Couvy-Duchesne, Kathryn R Cullen, Udo Dannlowski, Christopher G Davey, Greig I De Zubicaray, Danai Dima, Katharina Dohm, Verena Enneking, Tracy Erwin-Grabner, Ulrika Evermann, Cynthia H Y Fu, Paola Fuentes-Claramonte, Beata R Godlewska, Ali Saffet Gonul, Ian H Gotlib, Roberto Goya-Maldonado, Hans J Grabe, Nynke A Groenewold, Dominik Grotegerd, Oliver Gruber, Tim Hahn, Geoffrey Hall, Ben J Harrison, Walter Heindel, Marco Hermesdorf, Tiffany C Ho, Naho Ichikawa, Eri Itai, Neda Jahanshad, Hamidreza Jamalabadi, Alec J Jamieson, Andreas Jansen, Tilo Kircher, Bonnie Klimes-Dougan, Bernd Krämer, Axel Krug, Thomas M Lancaster, Elisabeth J Leehr, Meng Li, David E J Linden, Frank Macmaster, Katie L Mcmahon, Sarah E Medland, David M A Mehler, Susanne Meinert, Benson Mwangi, Igor Nenadić, Go Okada, Yasumasa Okamoto, Nils Opel, Julia-Katharina Pfarr, Edith Pomarol-Clotet, Maria J Portella, Ronny Redlich, Liesbeth Reneman, Jonathan Repple, Kai Ringwald, Elena Rodriguez-Cano, Pedro G P Rosa, Matthew D Sacchet, Philipp G Sämann, Raymond Salvador, Anouk Schrantee, Hotaka Shinzato, Kang Sim, Egle Simulionyte, Jair C Soares, Dan J Stein, Frederike Stein, Benjamin Straube, Lachlan T Strike, Florian Thomas-Odenthal, Sophia I Thomopoulos, Paul M Thompson, Marie-Jose Van Tol, Paula Usemann, Aslihan Uyar, Nic Van Der Wee, Steven Van Der Werff, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Sarah Whittle, Katharina Wittfeld, Adrian Wroblewski, Mon-Ju Wu, Tony T Yang, Giovana B Zunta-Soares, Dick J Veltman, Lianne Schmaal, Laura S Van Velzen

Faculty, Staff and Student Publications

The understanding of how antidepressant (AD) use is associated with brain structure in individuals with major depressive disorder (MDD) remains incomplete. We aimed to examine the association between AD medication use and brain morphology in relation to age and sex by pooling structural neuroimaging and clinical data from 32 cohorts within the ENIGMA-MDD working group. Interaction effects of group (2076 cases with current AD use (AD), 1495 cases not currently taking AD (nAD) and 5125 healthy controls (HC)) with age and sex, and main effects of group on regional brain structure (cortical surface area and thickness, and subcortical volume) were …

Research Hotspots And Trends In The Field Of Immune Checkpoint Inhibitors (Icis) For Cervical Cancer: A Bibliometric Study From 2014 To 2024, Chaoyan Shen, Juan Zhang, Guanyu Zhang, Hao Luo, Shuangke Zhang, Quan Yuan, Wei Xu, Wei Wang, Lele Miao

Faculty, Staff and Student Publications

In recent years, immune checkpoint inhibitors (ICIs) have emerged as a novel immunotherapeutic approach, offering renewed hope for enhancing cervical cancer patient prognosis. This study represents the inaugural bibliometric analysis of ICIs in the context of cervical cancer, covering the period from 2014 to 2024. A total of 422 articles were identified through the Web of Science Core Collection database, amassing 10,977 citations, with a consistent annual increase in the number of publications. The leading contributors in terms of countries, institutions, journals, and authors included China, the University of Texas System, Frontiers in Oncology, and Bradley J. Monk, respectively. …

Improvement And Maintenance Of Clinical Outcome Assessments In Atopic Dermatitis With Amlitelimab, Andrew Blauvelt, Raj Chovatiya, Joseph F Merola, Stephan Weidinger, Ken Igawa, Ella Brookes, Christine Weber, Jennifer Wang, Cori Gray

Faculty, Staff and Student Publications

Background: Amlitelimab, a fully human, nondepleting, anti-OX40 ligand monoclonal antibody, demonstrated reductions in lesional and pruritic endpoints in adults with moderate-to-severe atopic dermatitis (AD) in phase 2a and 2b trials.

Objectives: Here, we examined the effect and durability of amlitelimab on clinical outcome assessments (COAs) in the randomized STREAM-AD phase 2b trial.

Methods: Adults with moderate-to-severe AD with prior inadequate response to or inadvisability of topical medications received subcutaneous amlitelimab (250 mg with 500-mg loading dose, 250 mg, 125 mg or 62.5 mg) or placebo every 4 weeks in Part 1 (Weeks 0-24; 1:1:1:1:1 randomization). In Part 2, Week 24 …

The Longitudinal Impact Of Radiotherapy On Osseointegrated Hearing Aid Outcomes And Complications, Benjamin D Lovin, Mike Hernandez, Paul W Gidley, Karine Al Feghali, Jack Phan, Catherine Wang, Congjun Wang, Dianna Roberts, Marc-Elie Nader

Faculty, Staff and Student Publications

Objective: To evaluate the impact of radiotherapy on osseointegrated hearing aids (OIHA) complications.

Methods: Retrospective review of percutaneous OIHA performed from 2006 to 2021 at an academic institution. Implant and abutment-related complications were evaluated and stratified by radiation parameters. Main outcome measures were abutment, implant, and major complications assessed using the modified Holgers and IPS grading scales.

Results: Total of 190 OIHA were included; 124 (65%) were placed in bones that previously or subsequently received radiation. Total of 84 (44%) OIHA experienced at least one complication at mean 43.3 months. Radiation cohort had greater rates of having any complication (p …

Smart Spatial Omics (S2-Omics) Optimizes Region Of Interest Selection To Capture Molecular Heterogeneity In Diverse Tissues, Musu Yuan, Kaitian Jin, Hanying Yan, Amelia Schroeder, Chunyu Luo, Sicong Yao, Bernhard Dumoulin, Jonathan Levinsohn, Tianhao Luo, Jean R Clemenceau, Inyeop Jang, Minji Kim, Yunhe Liu, Minghua Deng, Emma E Furth, Parker Wilson, Anupma Nayak, Idania Lubo, Luisa Maren Solis Soto, Linghua Wang, Jeong Hwan Park, Katalin Susztak, Tae Hyun Hwang, Mingyao Li

Faculty, Staff and Student Publications

Spatial omics technologies have transformed biomedical research by enabling high-resolution molecular profiling while preserving the native tissue architecture. These advances provide unprecedented insights into tissue structure and function. However, the high cost and time-intensive nature of spatial omics experiments necessitate careful experimental design, particularly in selecting regions of interest (ROIs) from large tissue sections. Currently, ROI selection is performed manually, which introduces subjectivity, inconsistency and a lack of reproducibility. Previous studies have shown strong correlations between spatial molecular patterns and histological features, suggesting that readily available and cost-effective histology images can be leveraged to guide spatial omics experiments. Here we …

The Deubiquitinating Enzyme Cezanne Stabilizes Brca1 By Counteracting Apc/C And Ube2s-Dependent Lys11-Linked Ubiquitination, Longqiang Wang, Xiao Wu, Atanu Paul, Jun Yao, Bin Wang

Faculty, Staff and Student Publications

The breast and ovarian tumor suppressor BRCA1 is a cell cycle-regulated protein and tumors with reduced BRCA1 protein level may share molecular features of BRCA1-mutant tumor and respond to PARPi therapy. Here, we identify that BRCA1 protein stability is controlled through ubiquitin lysine 11 (K11)-linkage modification under the regulation of Cezanne deubiquitinating enzyme, APC/C E3 ligase, and Ube2S E2 conjugating enzyme in a cell cycle-dependent manner. Cezanne-deficiency leads to increased BRCA1 K11-ubiquitination, decreased BRCA1 protein level, and increased cellular sensitivity to PARPi. The BRCA1 K11-linked ubiquitination is carried out through a degron on BRCA1 that is recognized by APC/C cofactor …

Impact Of Postpartum Diagnosis On Survival Of Women With Inflammatory Breast Cancer, Jennifer H Chen, Rebecca S Slack Tidwell, Megumi Kai, Anthony Lucci, Wendy A Woodward, Helen M Johnson

Faculty, Staff and Student Publications

Background: Postpartum diagnosis of breast cancer confers increased risk of metastasis and death, possibly because of protumorigenic pathways that occur after weaning. We sought to evaluate the impact of postpartum diagnosis on survival in patients with inflammatory breast cancer (IBC).

Methods: We performed a retrospective analysis of patients with nonmetastatic IBC enrolled in a prospective registry (2007-2023). Kruskal-Wallis, χ2, and Fisher exact tests were used to compare between postpartum groups. The Kaplan-Meier method and log-rank tests were used for survival estimates.

Results: Among 320 patients with IBC, 25 (7.8%) were nulliparous, 31 (9.7%) were 0 to 5 years postpartum, 26 …

Bayesian Prediction Of Event Times Using Mixture Model For Blinded Randomized Controlled Trials, Jingyan Fu, Dan Zhao, Donia Skanji, Hua Liu, Rui Sammi Tang, Ying Yuan

Faculty, Staff and Student Publications

Accurate prediction of key milestone dates, such as the timing of interim and final analyses, is crucial in event-driven clinical trials with time-to-event endpoints. These predictions facilitate timely decision-making, enhance strategic planning and optimize resource allocation while minimizing patient exposure to potentially ineffective or harmful therapies. Existing methods for predicting event timing in blinded randomized clinical trials (RCTs) typically assume identical time-to-event distributions for the treatment and control arms, implying no treatment effect. This assumption fails when the treatment is more effective than the control, which is often the very outcome the trial seeks to detect, leading to biased predictions. …

Individualizing Nsaid Therapy In Axial Spondyloarthritis: N-Of-1 Trials With Bayesian Analysis, Mark C Hwang, Seokhun Kim, Shervin Assassi, Reyna Chavez, Joyce Samuel, Charles Green, Jon Tyson, John Reveille

Faculty, Staff and Student Publications

Objective: Axial spondyloarthritis (axSpA) is a chronic inflammatory disease predominantly affecting the spine and sacroiliac joints. NSAIDs are first-line therapy, but individual responses vary widely. We evaluated the efficacy and patient preference of three NSAIDs (celecoxib, meloxicam and naproxen) through Bayesian N-of-1 clinical trials to optimize axSpA management.

Methods: We conducted N-of-1 trials with 42 patients meeting ASAS criteria for axSpA. Each patient was asked to complete two cycles of randomized double-blind crossover comparisons of the three NSAIDs, each for 4 weeks. The primary end point was the change in the Ankylosing Spondylitis Disease Activity Score (ASDAS). Bayesian analysis assessed …

Real-World Disease Burden And Health Care Resource Utilization For Patients With Barth Syndrome, Lindsay Marjoram, Yonglin Huang, Mary Kay Koenig, Bruce H Cohen, Eric Anderson

Faculty, Staff and Student Publications

Background: Barth syndrome (BTHS) is an ultra-rare, X-linked genetic disorder for which there is limited economic data. Because compiling such data that target rare indications is difficult, we assessed real-world data to increase understanding of the cost of BTHS based on disease burden and health care resource utilization (HCRU).

Methods: A search of the published medical literature identified individual case studies and registry data used to assess the burden of disease and potential costs associated with BTHS, including the potential ability of developing treatments to positively impact those costs. In addition, a claims database analysis was conducted to assess HCRU …

The Use Of Alcohol-Free And Low-Alcohol Drinks In Pregnancy In The Uk, Kate Maslin, Heather Hopper, Jill Shawe

School of Nursing and Midwifery

Alcohol-free drinks [beers, ciders, wines, and spirits containing <0.05% alcohol by volume (ABV)], and lowalcohol drinks (between 0.05% and 1.2% ABV) are increasingly available and may be used as a harm reduction measure. However, it is not known what pregnant women think and feel about these drinks and how regularly they are consumed before and during pregnancy. A cross-sectional online survey was developed and piloted. Women ≥18 years in the UK who were pregnant, or recently pregnant, were recruited via targeted social media advertising. Of the 2092 respondents, 47.8% (n ¼ 1001) were currently pregnant; 55.7% (n ¼ 1167) were between 25 and 34 years, 90.0% were White (n ¼ 1881); 6.1% (n ¼ 128) were drinking alcohol at “increasing risk” levels (>14 units/week) before pregnancy. During pregnancy, 13.5% (n ¼ 282) consumed alcohol, which was more common in the increasing risk category (P < .01). Alcohol-free or low-alcohol drinks were consumed by 71.3% (n ¼ 1491) of respondents during pregnancy; 91.4% of the increasing risk category versus 69.9% of the lower risk category (P < .01). The most common reasons for consuming alcohol-free or low-alcohol drinks were “to choose a safer alternative” (71.9%, n ¼ 1073) and “to feel included in social events involving alcohol” (68.8%, n ¼ 1026). More than half of respondents (56.7%) thought there was insufficient information available about consuming alcohol-free and low-alcohol drinks during pregnancy, with internet searching the primary source of information. Although alcohol-free and low-alcohol drinks are commonly consumed during pregnancy, there are some safety concerns. Their role as a harm reduction measure in those who are drinking alcohol at increasing risk levels prepregnancy needs further investigation.

Fusarium Equiseti Pathogen Of Potato In Kenya And Its Potential In Vitro Biocontrol Using Fungal Endophytes, Marie Cecile Muhorakeye, Fathiya M. Khamis, Everlyne Samita Namikoye, Komivi S. Akutse

All Peer-Reviewed Publications

Accurate pathogen diagnosis is fundamental for effective crop disease management. In Kenya, a pathogen causing significant damage in potato farms was initially misidentified as Phytophthora infestans. This study aimed to correctly identify this pathogen and explore initial control measures using a polyphasic approach. The methodology integrated morphological observation, pathogenicity testing, and molecular analysis using ITS and EF1-α gene sequencing. The results confirmed the pathogen’s identity as Fusarium equiseti, with morphological features consistent with this species and molecular sequencing showing 99.6% identity to reference strains. This is the first official report of Fusarium equiseti as a potato pathogen in Kenya. Furthermore, …

Cropcapsnet: Enhanced Capsule Network For Crop Disease Classification, Juan Qin, Linfan Deng, Cong Li, Junjie He, Haibo Pen, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

The prevention and treatment of crop diseases are crucial for the development of smart agriculture. The classification of crop diseases based on deep learning for early disease monitoring and control has become the mainstream direction of research. This paper proposes a novel deep learning model called ”CropCapsNet”, which combines Squeeze-and-Excitation Inception (SE-Inception) module and has improved capsule structure for crop disease classification. The network first extracts shallow features of input samples through double-layer convolution, then uses SE-Inception to achieve deep multi-scale feature acquisition, and finally outputs classification results through an improved capsule structure. SE-Inception adds Squeeze-and-Excitation(SE) attention after each multi-scale …

Pilot-C: Physics-Informed Low-Distortion Optimal Trajectory Compression, Kefei Wu, Baihua Zheng, Weiwei Sun

Research Collection School Of Computing and Information Systems

Location-aware devices continuously generate massive volumes of trajectory data, creating demand for efficient compression. Line simplification is a common solution but typically assumes 2D trajectories and ignores time synchronization and motion continuity. We propose PILOT-C, a novel trajectory compression framework that integrates frequency-domain physics modeling with error-bounded optimization. Unlike existing line simplification methods, PILOT-C supports trajectories in arbitrary dimensions, including 3D, by compressing each spatial axis independently. Evaluated on four real-world datasets, PILOT-C achieves superior performance across multiple dimensions. In terms of compression ratio, PILOT-C outperforms CISED-W, the current state-of-the-art SED-based line simplification algorithm, by an average of 19.2%. For …

Sopo: Text-To-Motion Generation Using Semi-Online Preference Optimization, Xiaofeng Tan, Hongsong Wang, Xin Geng, Pan Zhou

Research Collection School Of Computing and Information Systems

Text-to-motion generation is essential for advancing the creative industry but often presents challenges in producing consistent, realistic motions. To address this, we focus on fine-tuning text-to-motion models to consistently favor highquality, human-preferred motions—a critical yet largely unexplored problem. In this work, we theoretically investigate the DPO under both online and offline settings, and reveal their respective limitation: overfitting in offline DPO, and biased sampling in online DPO. Building on our theoretical insights, we introduce Semi-online Preference Optimization (SoPo), a DPO-based method for training text-to-motion models using “semi-online” data pair, consisting of unpreferred motion from online distribution and preferred motion in …

Hybrid-Balance Gflownet For Solving Vehicle Routing Problems, Ni Zhang, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Existing GFlowNet-based methods for vehicle routing problems (VRPs) typically employ Trajectory Balance (TB) to achieve global optimization but often neglect important aspects of local optimization. While Detailed Balance (DB) addresses local optimization more effectively, it alone falls short in solving VRPs, which inherently require holistic trajectory optimization. To address these limitations, we introduce the Hybrid-Balance GFlowNet (HBG) framework, which uniquely integrates TB and DB in a principled and adaptive manner by aligning their intrinsically complementary strengths. Additionally, we propose a specialized inference strategy for depot-centric scenarios like the Capacitated Vehicle Routing Problem (CVRP), leveraging the depot node's greater flexibility in …

Uniteformer: Unifying Node And Edge Modalities In Transformers For Vehicle Routing Problem, Dian Meng, Zhiguang Cao, Jie Gao, Yaoxin Wu, Yaqing Hou

Research Collection School Of Computing and Information Systems

Neural solvers for the Vehicle Routing Problem (VRP) have typically relied on either node or edge inputs, limiting their flexibility and generalization in real-world scenarios. We propose UniteFormer, a unified neural solver that supports node-only, edge-only, and hybrid input types through a single model trained via joint edge-node modalities. UniteFormer introduces: (1) a mixed encoder that integrates graph convolutional networks and attention mechanisms to collaboratively process node and edge features, capturing cross-modal interactions between them; and (2) a parallel decoder enhanced with query mapping and a feed-forward layer for improved representation. The model is trained with REINFORCE by randomly sampling …