Medicine and Health Sciences Commons^™

Exacerbation Of Paclitaxel-Induced Neuropathic Pain Behaviors In Breast Tumor-Bearing Mice, Hee Kee Kim, Juping Xing, Youn-Sang Jung, Jae-Il Park, Hee Young Kim, Jimin Kim, Salahadin Abdi

Faculty, Staff and Student Publications

Background: Chronic pain and cancer interact bidirectionally, with pain enhancing sensory peptides and potentially promoting tumor growth. Despite this, most chemotherapy-induced neuropathic pain (CIPN) studies overlook the contribution of cancer itself to neuropathy, focusing instead on chemotherapy-induced mechanisms. Animal models of chemotherapy-induced neuropathic pain (CINP) have been developed by injecting chemotherapeutic drugs such as paclitaxel into normal animals without cancer. This study aimed to develop a new model in mouse mammary tumor virus-polyomavirus middle T antigen (MMTV-PyMT) mice, a widely used breast cancer model with normal immune function.

Results: The percentage of positive response (PPR) of paclitaxel-injected MMTV-PyMT mice increased …

A New, Early Cretaceous Carettochelyid Turtle From South Korea Provides Insights Into Softshell Evolution And Aquatic Ecology, Minguk Kim, Jongyun Jung, Walter G Joyce, Jae-Il Park, Hye-Yeon Jung, Hyemin Jo, Min Huh

Faculty, Staff and Student Publications

Here, we present a new Cretaceous carettochelyid turtle, Byeoljubuchelys yeosuensis gen. et sp. nov., from the Lower Cretaceous Hasandong Formation of Yeosu, Korea. A nearly complete shell and select elements of the girdles and limbs provide crucial insight into the evolution and aquatic adaptation of this family. Phylogenetic analyses place Byeoljubuchelys yeosuensis at the most basal position within Carettochelyidae. The mid-sized plastron of Byeoljubuchelys yeosuensis appears to be plesiomorphic for the group. The expansion of the plastron during carettochelyid evolution, especially during the Paleogene, may be an evolutionary response to increasing body size or the threat of mammalian predators. …

Practical Application Of Multivendor Mri-Based R2* Mapping For Liver Iron Quantification At 15 T And 30 T, Gregory Simchick, Ruiyang Zhao, Qing Yuan, Mounes Aliyari Ghasabeh, Stefan Ruschke, Dimitrios C Karampinos, David T Harris, Raphael Do Vale Souza, Ryan J Mattison, Michael R Jeng, Ivan Pedrosa, Ihab R Kamel, Shreyas Vasanawala, Takeshi Yokoo, Scott B Reeder, Diego Hernando

Faculty, Staff and Student Publications

Background: Recent multicenter, multivendor MRI-based R2* vs. liver iron concentration (LIC) calibrations (i.e., MCMV calibrations) may facilitate broad clinical dissemination of R2*-based LIC quantification. However, these calibrations are based on a centralized offline R2* reconstruction, and their applicability with vendor-provided R2* maps is unclear.

Purpose: To determine R2* ranges of agreement between the centralized and three MRI vendors' R2* reconstructions.

Study type: Prospective.

Subjects: Two hundred and seven subjects (mean age 37.6 ± 19.6 years; 117 male) with known or suspected iron overload from four academic medical centers.

Field strength/sequence: Standardized multiecho spoiled gradient echo sequence at 1.5 T and …

Development Of Microcystoid Macular Degeneration In The Retina Of Nonhuman Primates: Time-Course And Associated Pathologies, Thomas C M Lavery, Carol A Rasmussen, Alexander W Katz, Charlene B Y Kim, James N Ver Hoeve, Paul E Miller, Peter J Sonnentag, Brian J Christian, Christopher J Murphy, David R Piwnica-Worms, Seth T Gammon, Xudong Qiu, Paul L Kaufman, T Michael Nork

Faculty, Staff and Student Publications

Purpose: Microcystoid macular degeneration (MMD) is a condition where cystoid vacuoles develop within the inner nuclear layer of the retina in humans in a variety of disorders. Here we report the occurrence of MMD in non-human primates (NHPs) with various retinal ganglion cell (RGC) pathologies and evaluate the hypothesis that MMD does not precede RGC loss but follows it.

Methods: Morphological studies were performed of the retinas of NHPs, specifically both rhesus (Macaca mulatta) and cynomolgus macaques (Macaca fascicularis), in which MMD was identified after induction of experimental glaucoma (EG), hemiretinal endodiathermy axotomy (HEA), and spontaneous …

Generalizable Self-Supervised Learning For Brain Cta In Acute Stroke, Yingjun Dong, Samiksha Pachade, Kirk Roberts, Xiaoqian Jiang, Sunil A Sheth, Luca Giancardo

Faculty, Staff and Student Publications

Acute stroke management involves rapid and accurate interpretation of CTA imaging data. However, generalizable models for multiple acute stroke tasks able to learn from unlabeled data do not exist. We propose a linear probed self-supervised contrastive learning utilizing 3D CTA images and the findings section of radiologists' reports for pretraining. Subsequently, the pretrained model was applied to four disparate tasks: large vessel occlusion (LVO) detection, acute ischemic stroke detection, acute ischemic stroke, intracerebral hemorrhage classification, and ischemic core volume prediction. The tasks chosen are particularly challenging as they cannot be directly extracted from the radiology reports findings with keywords. The …

Unraveling Complex Temporal Patterns In Ehrs Via Robust Irregular Tensor Factorization, Ren Yifei, Linghui Zeng, Jian Lou, Li Xiong, Joyce C Ho, Xiaoqian Jiang, Sivasubramanium V Bhavani

Faculty, Staff and Student Publications

Electronic health records (EHRs) contain diverse patient data with varying visit frequencies. While irregular tensor factorization techniques such as PARAFAC2 have been used for extracting meaningful medical concepts from EHRs, existing methods fail to capture non-linear and complex temporal patterns and struggle with missing entries. In this paper, we propose REPAR, an RNN REgularized Robust PARAFAC2 method to model complex temporal dependencies and enhance robustness in the presence of missing data. Our approach employs Recurrent Neural Networks (RNNs) for temporal regularization and a low-rank constraint for robustness, enabling precise patient subgroup identification and improved clinical decision-making in noisy EHR data. …

Pain Phenotyping Indicators In Older Adults With Chronic Low Back Pain: A Secondary Analysis Of A Randomized Controlled Trial, Katrina R Hamilton, Nada Lukkahatai, Wanqi Chen, Hulin Wu, Jennifer Kawi, Constance M Johnson, Paul J Christo, Claudia M Campbell

Faculty, Staff and Student Publications

Purpose: A multimodal approach to clinical care is often recommended for chronic low back pain (cLBP); however, treatment responses are highly variable. Phenotyping could help determine subgroups of patients, allowing for targeted and tailored interventional approaches.

Patients and methods: 263 (Mage=69.8 (7.2); 64.6% female) individuals with cLBP participated in the parent study, a 3-arm, randomized clinical trial examining auricular point acupressure treatment outcomes. Parent study participants were randomized (1:1:1) to APA ear points targeted to cLBP (T-APA, n=92), non-targeted to cLBP (NT-APA, n=91), or education control (n=89). The current study used latent class analysis to identify clustering for pain severity …

Explainable Diagnosis Prediction Through Neuro-Symbolic Integration, Qiuhao Lu, Rui Li, Elham Sagheb, Andrew Wen, Jinlian Wang, Liwei Wang, Jungwei W Fan, Hongfang Liu

Faculty, Staff and Student Publications

Diagnosis prediction is a critical task in healthcare, where timely and accurate identification of medical conditions can significantly impact patient outcomes. Traditional machine learning and deep learning models have achieved notable success in this domain but often lack interpretability which is a crucial requirement in clinical settings. In this study, we explore the use of neuro-symbolic methods, specifically Logical Neural Networks (LNNs), to develop explainable models for diagnosis prediction. Essentially, we design and implement LNN-based models that integrate domain-specific knowledge through logical rules with learnable weights and thresholds. Our models, particularly Mmulti-pathway and Mcomprehensive, demonstrate superior performance over traditional models …

Rank Aggregation Methods And Tools In Genomic Data Analysis, Wenping Zou, Savannah Mwesigwa, Sayed-Rzgar Hosseini, Zhongming Zhao

Faculty, Staff and Student Publications

Rank aggregation (RA) is the process of consolidating disparate rankings into a single unified ranking. It holds immense potential in the field of genomics. RA has applications in diverse research areas, such as gene expression analysis, meta-analysis, gene prioritization, and biomarker discovery. However, there are many challenges in the application of the RA approach to biological data, such as dealing with heterogeneous data sources, rankings of mixed quality, and evaluating the consolidated rankings. In this review, we present an overview of the existing RA methods with an emphasis on those that have been tailored to the complexities of genomics research. …

Session Introduction: Translating Big Data Imaging Genomics Findings To The Individual: Prediction Of Risks And Outcomes In Neuropsychiatric Illnesses, Peter Kochunov, Li Shen, Zhongming Zhao, Paul M Thompson

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This PSB 2025 session is focused on opportunities, challenges and solutions for translating Big Data Imaging Genomic findings toward powering decision making in personalized medicine and guiding individual clinical decisions. It combines many of the scientific directions that are of interest to PSB members including Big Data analyses, pattern recognition, machine learning and AI, electronic health records and others.

Temporal Ensemble Logic For Integrative Representation Of The Entirety Of Clinical Trials, Xiaojin Li, Yan Huang, Rashmie Abeysinghe, Zenan Sun, Hongyu Chen, Pengze Li, Xing He, Shiqiang Tao, Cui Tao, Jiang Bian, Licong Cui, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Clinical trials are typically specified with protocols that define eligibility criteria, treatment regimens, follow-up schedules, and outcome assessments. Temporality is a hallmark of all clinical trials, reflected within and across trial components, with complex dependencies unfolding across multiple time points. Despite their importance, clinical trial protocols are described in free-text format, limiting their semantic precision and the ability to support automated reasoning, leverage data across studies and sites, or simulate trial execution under varying assumptions using Real-World Data. This paper introduces a formalized representation of clinical trials using Temporal Ensemble Logic (TEL). TEL incorporates metricized modal operators, such as “always …

Introducing Advances In Health Information Science And Practice, Susan Fenton

Faculty, Staff and Student Publications

No abstract provided.

Deep Brain Stimulation Of The Medial Forebrain Bundle: Effects On Anhedonia And Behavioral Activation In Treatment-Resistant Depression, Andrea Boscutti, Bashar Asir, Isabela Moura, Albert Fenoy, João Quevedo, Jair C Soares

Faculty, Staff and Student Publications

No abstract provided.

Non-Invasive Measurement Of Elasticity In Glioblastoma Multiforme Validates Decreased Tmz Sensitivity In Astrocyte Co-Culture, Megan Mendieta, Maryam Hatami, Manmohan Singh, Sajedeh Saeidi Fard, Mohammad Dehshiri, Alexander Schill, Dmitry Nevozhay, Salavat Aglyamov, Bulent Ozpolat, Konstantin V Sokolov, Yasemin M Akay, Kirill V Larin, Metin Akay

Faculty, Staff and Student Publications

Goal: In this research, we investigated the changes in elasticity of in vitro glioblastoma multiforme (GBM) spheroids when treated with the gold standard chemotherapy for GBM, Temozolomide (TMZ). Additionally, we aimed to use this alternative biomarker to assess how modifying the tumor microenvironment (TME) with the addition of human astrocytes (HA) would influence treatment efficacy. Methods: Spheroid stiffness was investigated using advanced non-invasive optical techniques, nanobomb optical coherence elastography (nb-OCE) and Brillouin microscopy to obtain new biomechanical insights by assessing local tumor progression or response to therapy using GBM cells (LN229). Results: The treated monocultured GBM groups showed a significant …

Examining The Presence And Effects Of Coherence And Fragmentation In The Gulf Of Maine Fishery Management Network, Derek Katznelson, Antonia Sohns, Dongkyu Kim, Evelyn Roozee, William R Donner, Andrew M Song, Jasper R De Vries, Owen Temby, Gordon M Hickey

Faculty, Staff and Student Publications

Natural resource management networks cohere due to mutual dependencies and fragment, in part, due to the perceived risks of interaction. However, research on these networks has tended to accept coherence a priori rather than problematizing dependence, and few studies exist on interorganizational risk perception. This article presents the results of a study operationalizing these concepts and measuring the distribution of three types of dependence (capital, legitimacy, and regulatory) and two types of perceived risk (performance and sanction) among nearly fifty stakeholder groups and organizations participating in the management of fisheries in the binational Gulf of Maine. The analysis reveals an …

Nrg Oncology White Paper On The Relative Biological Effectiveness In Proton Therapy, Harald Paganetti, Charles B Simone, Walter R Bosch, Daphne Haas-Kogan, David G Kirsch, Heng Li, Xiaoying Liang, Wei Liu, Anita Mahajan, Michael D Story, Paige A Taylor, Henning Willers, Ying Xiao, Jeffrey C Buchsbaum

Faculty, Staff and Student Publications

This position paper, led by the NRG Oncology Particle Therapy Work Group, focuses on the concept of relative biologic effect (RBE) in clinical proton therapy (PT), with the goal of providing recommendations for the next-generation clinical trials with PT on the best practice of investigating and using RBE, which could deviate from the current standard proton RBE value of 1.1 relative to photons. In part 1, current clinical utilization and practice are reviewed, giving the context and history of RBE. Evidence for variation in RBE is presented along with the concept of linear energy transfer (LET). The intertwined nature of …

Editorial: Ovarian Cancer Targeted Medication: Parp Inhibitors, Anti-Angiogenic Drugs, Immunotherapy, And More, Volume Ii, Zhi-Bin Wang, De-Hua Liao, Guang Lei, Zhao-Qian Liu, Nayiyuan Wu, Jing Wang

Faculty, Staff and Student Publications

No abstract provided.

Individualized Frequency And Montage Tacs To Engage Theta-Gamma Coupling And Enhance Working Memory In Mild Cognitive Impairment, Mina Mirjalili, Iryna S Palamarchuk, Heather Brooks, Reza Zomorrodi, Ashley Melichercik, Wei Wang, Sean M Nestor, Daniel M Blumberger, Abhishek Datta, Christopher Bowie, Bernadette Mdawar, Kullervo Hynynen, Sanjeev Kumar, Tarek K Rajji

Faculty, Staff and Student Publications

Mild Cognitive Impairment (MCI) is a clinical prodromal stage of Alzheimer's disease. Enhancing executive functions in patients with MCI could optimize cognitive compensatory mechanisms and slow cognitive decline. The prefrontal cortex (PFC) and its connections to the hippocampus support executive functions, including working memory. Transcranial alternating current stimulation (tACS) can modulate these connections by engaging theta-gamma coupling (TGC) and may thereby strengthen working memory. This study, "tACS to engage theta-gamma coupling and enhance working memory in MCI" (tACS-MCI), will assess the feasibility and cognitive effects of EEG and MRI-guided individualized tACS. The stimulation will target the prefrontal and temporal cortices …

Comprehensive Genomic Analysis Reveals Molecular Heterogeneity In Pediatric Alk-Positive Anaplastic Large Cell Lymphoma, Timothy I Shaw, Stanley Pounds, Xueyuan Cao, Jing Ma, Gustavo Palacios, John Mason, Sherrie Perkins, Gang Wu, Yiping Fan, Jian Wang, Xin Zhou, Alyssa Obermayer, Marsha C Kinney, Jacqueline Kraveka, Thomas Gross, John Sandlund, Jinghui Zhang, Charles Mullighan, Megan S Lim, Vasiliki Leventaki

Faculty, Staff and Student Publications

Anaplastic large cell lymphoma (ALCL) is a mature T-cell lymphoma that accounts for 10-15% of childhood lymphomas. Despite the observation that more than 90% of pediatric cases harbor the anaplastic lymphoma kinase (ALK) rearrangement resulting in aberrant ALK kinase expression, there is significant clinical, morphologic, and biological heterogeneity. To gain insights into the genomic aberrations and molecular heterogeneity within ALK-positive ALCL (ALK+ ALCL), we analyzed 46 pediatric ALK+ ALCLs by whole-exome sequencing, RNA sequencing, and DNA methylation profiling. Whole-exome sequencing found on average 25 SNV/Indel events per sample with recurring genetic events in regulators of DNA damage (TP53, MDM4), transcription …

Global Research Trends And Focus On Immunotherapy For Endometrial Cancer: A Comprehensive Bibliometric Insight And Visualization Analysis (2012–2024), Yachen Xu, Tao Wang, Xiaojing Liang, Jie Yang, Yuxiang Zhang, Shan Bao

Faculty, Staff and Student Publications

Background: This study conducted a novel systematic bibliometric and visualization analysis of global literature on immunotherapy for endometrial cancer (EC) to explore dynamic trends, research hotspots, and emerging topics, providing valuable references for future research.

Methods: Articles and reviews on EC immunotherapy published between 2012 and August 2024 were retrieved from the Web of Science Core Collection (WoSCC). Bibliometric tools, CiteSpace and VOSviewer, were used to analyze clustering patterns and research dynamics.

Results: A total of 861 articles were contributed by 5,331 authors from 1,392 institutions across 58 countries or regions, involving 1,823 keywords. China demonstrated outstanding performance in this …

Long-Term Symptom Burden In A Young, Ambulatory Cohort After The Omicron Outbreak In China, Simeng Ren, Yumeng Tan, Hongkun Xu, Mian Wang, Rumei Xiang, Jiayue Jin, Baojin Han, Jiaheng Shi, Jingyu Zhang, Jinliang Yang, Xin Tian, Ying Li, Jiaojiao Chen, Wenzheng Zhang, Jingqi Yang, Xin Shelley Wang, Qiuling Shi, Jie Liu

Faculty, Staff and Student Publications

Introduction: At the end of 2022, an outbreak of the Omicron BF.7 and BA.5.2 subvariants of SARS-CoV-2 occurred in China. In this prospective cohort study, we investigated the pattern of development of major symptom burden and influencing factors in infected Chinese patients.

Methods: First-time infected outpatients were enrolled from December 7, 2022, to January 11, 2023 (N = 355). The prevalence of symptoms was monitored by a repeated patient-reported quantitative symptom survey over nine months.

Results: At the onset of the infection, the most prevalent symptoms (score ≥1 on a 0-10 numeric rating scale) were fatigue (91.8%), cough (91.8%), …

Characterization Of Additive Gene-Environment Interactions For Colorectal Cancer Risk, Claire E Thomas, Yi Lin, Michelle Kim, Eric S Kawaguchi, Conghui Qu, Caroline Y Um, Brigid M Lynch, Bethany Van Guelpen, Kostas Tsilidis, Robert Carreras-Torres, Franzel J B Van Duijnhoven, Lori C Sakoda, Peter T Campbell, Yu Tian, Jenny Chang-Claude, Stéphane Bézieau, Arif Budiarto, Julie R Palmer, Polly A Newcomb, Graham Casey, Loic Le Marchandz, Marios Giannakis, Christopher I Li, Andrea Gsur, Christina Newton, Mireia Obón-Santacana, Victor Moreno, Pavel Vodicka, Hermann Brenner, Michael Hoffmeister, Andrew J Pellatt, Robert E Schoen, Niki Dimou, Neil Murphy, Marc J Gunter, Sergi Castellví-Bel, Jane C Figueiredo, Andrew T Chan, Mingyang Song, Li Li, D Timothy Bishop, Stephen B Gruber, James W Baurley, Stephanie A Bien, David V Conti, Jeroen R Huyghe, Anshul Kundaje, Yu-Ru Su, Jun Wang, Temitope O Keku, Michael O Woods, Sonja I Berndt, Stephen J Chanock, Catherine M Tangen, Alicja Wolk, Andrea Burnett-Hartman, Anna H Wu, Emily White, Matthew A Devall, Virginia Díez-Obrero, David A Drew, Edward Giovannucci, Akihisa Hidaka, Andre E Kim, Juan Pablo Lewinger, John Morrison, Jennifer Ose, Nikos Papadimitriou, Bens Pardamean, Anita R Peoples, Edward A Ruiz-Narvaez, Anna Shcherbina, Mariana C Stern, Xuechen Chen, Duncan C Thomas, Elizabeth A Platz, W James Gauderman, Ulrike Peters, Li Hsu

Faculty, Staff and Student Publications

Background: Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure.

Methods: Using resources from CRC consortia, including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score, including 141 variants associated with CRC risk.

Results: There was no evidence of multiplicative interaction …

Optimization Of Proximity Labeling In Endothelial Cells: Overcoming Endogenous Biotin Interference And Cost Barriers, Ying Jiang, Kuizhi Qu, Mengjun Dai, Yan-Ning Rui, Zhen Xu

Faculty, Staff and Student Publications

Proximity labeling has become a powerful technique for mapping protein-protein interactions under physiologically relevant conditions, with TurboID offering high enzymatic activity and rapid labeling. However, its application in endothelial systems has been limited, partly due to the presence of endogenous biotin in specialized media, which reduces labeling specificity. Here, we optimized TurboID-mediated proximity labeling in brain microvascular endothelial cells by addressing two key challenges: endogenous biotin interference and cost-effective depletion. We discovered that endothelial cell medium contains substantial biotin levels, which saturate TurboID labeling and obscure the effects of exogenous biotin. Using High Capacity NeutrAvidin

Correction: Topss: Tolerability Of Transcranial Direct Current Stimulation In Pediatric Stroke Survivors, Stuart Fraser, Anna Clearman, Melika Abrahams, Bernadette Gillick, Tia Lal, Sean Savitz, Nuray Yozbatiran

Faculty, Staff and Student Publications

[This corrects the article DOI: 10.3389/fnhum.2025.1629499.].

Mechanisms Of How Sarcopenia Affects Functional Outcomes In Acute Ischaemic Stroke, Dong-Seok Gwak, Jinyong Chung, Dawid Schellingerhout, Hyerin Oh, Sang-Wuk Jeong, Ji Sung Lee, Dong-Eog Kim

Faculty, Staff and Student Publications

Sarcopenia, a common geriatric condition characterized by the loss of skeletal muscle mass and function, can negatively affect functional outcomes in acute ischaemic stroke; however, the underlying mechanisms remain unclear. We hypothesized that sarcopenia affects post-stroke outcomes, mediated through its impact on dysphagia, early neurological deterioration, or post-stroke recovery, particularly in patients with motor deficits. To explore this hypothesis, we included 600 consecutive elderly (≥65 years) patients with acute (< 1 week) ischaemic stroke and assessed: (i) the relationships sarcopenia has with dysphagia, early neurological deterioration and various phases of recovery after stroke (in-hospital, post-discharge [up to 3 months], and chronic [3 months to 1 year]) and (ii) whether either presenting symptoms or lesion locations modify the impact of sarcopenia on stroke outcomes. Temporal muscle thickness, a marker of sarcopenia, was measured by brain magnetic resonance imaging and dichotomized into low versus high temporal muscle thickness at the 25th percentile cut-off point. Logistic regression analysis, mediation analysis and statistical brain mapping were conducted. Mean age was 75.3 ± 6.1 years and 303 (50.5%) were male. Low temporal muscle thickness (< 5.1 mm) was independently associated with dysphagia (adjusted odds ratio 1.89 [95% confidence interval 1.06–3.37], P = 0.03), early neurological deterioration (adjusted odds ratio 2.75 [95% confidence interval 1.61–4.71], P < 0.001) and post-discharge recovery (adjusted odds ratio 0.56 [95% confidence interval 0.34–0.94], P = 0.03) but not with in-hospital or chronic recovery. In addition, dysphagia, early neurological …

Recovery Of Verbal Working Memory Depends On Left Hemisphere White Matter Tracts, Randi C Martin, Junhua Ding, Ali I Alwani, Steve H Fung, Tatiana T Schnur

Faculty, Staff and Student Publications

Researchers propose that the recovery of language function following stroke depends on the recruitment of perilesional regions in the left hemisphere and/or homologous regions in the right hemisphere. Many investigations of recovery focus on changes in gray matter regions, whereas relatively few examine white matter tracts and none address the role of these tracts in the recovery of verbal working memory. The present study addressed these gaps, examining the role of left versus right hemisphere tracts in the longitudinal recovery of phonological and semantic working memory. For 24 individuals with left hemisphere stroke, we assessed working memory performance within 1 …

Structured Personalized Oxygen And Supportive Therapies For Dyspnea In Oncology (Spot-On): A Personalized Randomized Clinical Trial Protocol, David Hui, Min Ji Kim, Saji Thomas, Gautam Sachdev, Sanjay Shete, Nisha Rathi, Nicole Hensch, Vera De La Cruz, Amy Ontai, Donald A Mahler, Jie Li, Eduardo Bruera

Faculty, Staff and Student Publications

Background: Low-flow supplemental oxygen (LFSO), high-flow nasal cannula (HFNC), and non-invasive ventilation (NIV) are often used for palliation of dyspnea in hospitalized patients. However, it is unclear how patients prefer to use these modalities and how they can be personalized for optimal dyspnea relief. The objective of this randomized clinical trial is to compare the effect of a personalized respiratory therapist (RT)-led intervention, termed SPOT-ON, and enhanced usual care on dyspnea intensity in both hypoxemic and non-hypoxemic hospitalized patients with cancer.

Methods: In this two-arm, parallel group, partially blinded, waitlist-controlled randomized clinical trial, hospitalized patients with advanced cancer and at …

Ai/Ml-Empowered Approaches For Predicting T Cell-Mediated Immunity And Beyond, Cheng-Chi Chao, Yulun Chiu, Lucas Yeung, Cassian Yee, Chongming Jiang, Xiling Shen

Faculty, Staff and Student Publications

T cells play a dual role in various physiopathological states, capable of eliminating tumors and infected cells, while also playing a pathogenic role when activated by autoantigens, causing self-tissue damage. The regulation of T cell-peptide/major histocompatibility complex (TCR-pMHC) recognition is crucial for maintaining disease balance and treating cancer, infections, and autoimmune diseases. Despite efforts, predictive models of TCR-pMHC specificity are still in the early stages. Inspired by advances in protein structure prediction via deep neural networks, we evaluated AlphaFold 3 (AF3)-based AI computation as a method to predict TCR epitope specificity. We demonstrate that AlphaFold can model TCR-pMHC interactions, distinguishing …

Innovative Approaches In Precision Radiation Oncology: Advanced Imaging Technologies And Challenges Which Shape The Future Of Radiation Therapy, Yue Yan, Daniel A Alexander, Bryan P Bednarz, Lawrence F Bronk, Huixiao Chen, David J Gladstone, Bin Han, Christopher M Iannuzzi, Yuting Li, Ngoc Nguyen, Natasha Mulenga, Natalie N Viscariello, Yuenan Wang, Joseph Weygand, Yana Zlateva, Fada Guan

Faculty, Staff and Student Publications

Radiation oncology is undergoing a transformative shift toward precision medicine through unprecedented advances in imaging technologies that enable increasingly personalized and adaptive cancer treatment. This comprehensive review synthesizes the underlying physical principles, current clinical applications, technical challenges, and quality assurance requirements across the complete spectrum of emerging imaging-guided radiation therapy approaches. We examine magnetic resonance-guided radiotherapy systems that enable daily soft-tissue visualization and online plan adaptation, positron emission tomography-guided platforms that allow real-time tracking of metabolically active tumor regions, advanced cone beam computed tomography systems supporting rapid adaptive workflows through artificial intelligence-enhanced image generation, and novel applications including Cherenkov radiation …

Correction: Innovative Approaches In Precision Radiation Oncology: Advanced Imaging Technologies And Challenges Which Shape The Future Of Radiation Therapy, Yue Yan, Daniel A Alexander, Bryan P Bednarz, Lawrence F Bronk, Huixiao Chen, David J Gladstone, Bin Han, Christopher M Iannuzzi, Yuting Li, Ngoc Nguyen, Natasha Mulenga, Natalie N Viscariello, Yuenan Wang, Joseph Weygand, Yana Zlateva, Fada Guan

Faculty, Staff and Student Publications

No abstract provided.