Medicine and Health Sciences Commons^™

Preclinical Study And Parallel Phase Ii Trial Evaluating Antisense Stat3 Oligonucleotide And Checkpoint Blockade For Advanced Pancreatic, Non-Small Cell Lung Cancer And Mismatch Repair-Deficient Colorectal Cancer, Chad Tang, Genevieve P Hartley, Coline Couillault, Ying Yuan, Heather Lin, Courtney Nicholas, Anupallavi Srinivasamani, James Dai, Ecaterina E Ileana Dumbrava, Siqing Fu, Daniel D Karp, Aung Naing, Sarina A Piha-Paul, Jordi Rodon Ahnert, Shubham Pant, Vivek Subbiah, Timonthy A Yap, Apostolia M Tsimberidou, Paola Guerrero, Sarah Dhebat, Theresa Proia, Michael A Curran, David S Hong

Faculty, Staff and Student Publications

Objective: To evaluate signal transducer and activator of transcription 3 (STAT3) inhibition we conducted a co-clinical trial testing danvatirsen, a STAT3 antisense oligonucleotide (ASO) and checkpoint inhibition in conjunction with preclinical experiments.

Methods and analysis: Orthotopically implanted pancreatic cancer (pancreatic adenocarcinoma (PDAC)) was treated with STAT3 ASO with immune checkpoint inhibition. Tumour infiltrating immune cell populations were characterised via flow cytometry. In vitro experiments evaluated STAT3 inhibition in pancreatic stellate cells (PSCs) and myeloid-derived suppressor cells (MDSCs).A phase II trial employing a Simon II stage design tested the clinical efficacy of danvatirsen and durvalumab in non-small cell lung cancer (NSCLC), …

Exploratory Pilot Study To Characterize The Immune Landscapes Of Malignant Pleural Effusions And Their Corresponding Primary Tumors From Patients With Breast Carcinoma And Lung Adenocarcinoma, Caddie Laberiano-Fernandez, Qiong Gan, Sophia Mei Wang, Auriole Tamegnon, Ignacio Wistuba, Esther Yoon, Sinchita Roy-Chowdhuri, Edwin Roger Parra

Faculty, Staff and Student Publications

Introduction: Malignant pleural effusion (MPE) is a frequent complication of advanced malignancies. In this pilot study, we characterized the immune landscapes of MPEs, compared them to their primary tumor (PT) samples from breast carcinoma (BC) and lung adenocarcinoma (LADC), and tested the utility of multiplexed image technology in cytological samples.

Materials and methods: We evaluated the immune contexture of 6 BC and 5 LADC MPEs and their PTs using 3 multiplex immunofluorescence panels. We explored the associations between sample characteristics and pleural effusion-free survival.

Results: No MPE samples had positive programmed death-ligand 1 expression in malignant cells, although 3 of …

Incorporating Variable Rbe In Impt Optimization For Ependymoma, Hadis Moazami Goudarzi, Gino Lim, David Grosshans, Radhe Mohan, Wenhua Cao

Faculty, Staff and Student Publications

PURPOSE: To study the dosimetric impact of incorporating variable relative biological effectiveness (RBE) of protons in optimizing intensity-modulated proton therapy (IMPT) treatment plans and to compare it with conventional constant RBE optimization and linear energy transfer (LET)-based optimization.

METHODS: This study included 10 pediatric ependymoma patients with challenging anatomical features for treatment planning. Four plans were generated for each patient according to different optimization strategies: (1) constant RBE optimization (ConstRBEopt) considering standard-of-care dose requirements; (2) LET optimization (LETopt) using a composite cost function simultaneously optimizing dose-averaged LET (LET

RESULTS: We found that the LETopt plans consistently achieved increased LET in …

Association Of Perceived Neighborhood Air Quality Problems With Attempt To Quit Cigarette Smoking: A Cross-Sectional Study In Texas, Monalisa Chandra, Joel Fokom Domgue, Robert Yu, Sanjay Shete

Faculty, Staff and Student Publications

Background: Cigarette smoking is the major preventable cause of premature deaths in the United States. Attempting to quit smoking is an important step toward smoking cessation. Although it has been studied extensively, limited information on the association between attempts to quit smoking and neighborhood air quality problems is available. Therefore, we examined the association between attempts to quit smoking in the past year and perceived neighborhood air quality problems among adult Texans who smoke.

Methods: In 2018, a cross-sectional multistage area probability design-based survey was administered to collect sociodemographic, behavioral, and health-related information from a representative sample of 2050 Texas …

Prevalence And Disparities In Receiving Medical Advice To Quit Tobacco Use In The Us Adult Population, Monalisa Chandra, Rajesh Talluri, Joel Fokom Domgue, Sanjay Shete

Faculty, Staff and Student Publications

Introduction: Evidence suggests that advice from health care professionals (HCP) increases the likelihood of quit attempts and successful quitting of tobacco use. However, previous studies primarily focussed on cigarette smoking and did not include all forms of tobacco products. This study aimed to investigate the prevalence and disparities in receiving HCP's advice to quit tobacco use (combustible or noncombustible) in the US adult population.

Methods: Using the 2022 National Health Information Survey (NHIS) data, we examined 4,424 adults who reported (i) any tobacco product use within the past 12 months and (ii) having seen an HCP within the past 12 …

Placental Co-Transcriptional Activator Vestigial-Like 1 (Vgll1) Drives Tumorigenesis Via Increasing Transcription Of Proliferation And Invasion Genes, Heather M Sonnemann, Barbara Pazdrak, Barbara Nassif, Yimo Sun, Lama Elzohary, Amjad H Talukder, Arjun S Katailiha, Krishna Bhat, Gregory Lizée

Faculty, Staff and Student Publications

Introduction: Vestigial-like 1 (VGLL1) is a co-transcriptional activator that binds to TEA domain-containing transcription factors (TEADs). Its expression is upregulated in a variety of aggressive cancer types, including pancreatic and basal-like breast cancer, and increased transcription of VGLL1 is strongly correlated with poor prognosis and decreased overall patient survival. In normal tissues, VGLL1 is most highly expressed within placental trophoblast cells, which share the common attributes of rapid cellular proliferation and invasion with tumor cells. The impact of VGLL1 in cancer has not been fully elucidated and no VGLL1-targeted therapy currently exists.

Methods: The aim of this study was to …

Crosstalk Between Breast Cancer-Derived Micrornas And Brain Microenvironmental Cells In Breast Cancer Brain Metastasis, Munazza S Khan, Grace L Wong, Chuling Zhuang, Mariana K Najjar, Hui-Wen Lo

Faculty, Staff and Student Publications

Breast cancer is the most frequent malignancy in women, constituting 15.2% of all new cancers diagnosed in the United States. Distant breast cancer metastasis accounts for the majority of breast cancer-related deaths; brain metastasis is the third most common site for metastatic breast cancer but is associated with worst prognosis of approximately eight months of survival. Current treatment options for breast cancer brain metastasis (BCBM) are limited and ineffective. To help identify new and effective therapies for BCBM, it is important to investigate the mechanisms by which breast cancer cells metastasize to the brain and thrive in the brain microenvironment. …

Does Varicocele Repair Improve Conventional Semen Parameters? A Meta-Analytic Study Of Before-After Data, Rossella Cannarella, Rupin Shah, Taha Abo-Almagd Abdel-Meguid Hamoda, Florence Boitrelle, Ramadan Saleh, Murat Gul, Amarnath Rambhatla, Parviz Kavoussi, Tuncay Toprak, Ahmed M Harraz, Edmund Ko, Gökhan Çeker, Damayanthi Durairajanayagam, Noora Alkahidi, Shinnosuke Kuroda, Andrea Crafa, Ralf Henkel, Gianmaria Salvio, Berk Hazir, Mahsa Darbandi, Marion Bendayan, Sara Darbandi, Marco Falcone, Nicolas Garrido, Raghavender Kosgi, Raneen Sawaid Kaiyal, Keshab Karna, Nguyen Ho Vinh Phuoc, Ponco Birowo, Giovanni M Colpi, Jean De La Rosette, Germar-Michael Pinggera, Quang Nguyen, Armand Zini, Wael Zohdy, Rajender Singh, Pallavi Saini, Sidney Glina, Haocheng Lin, Taymour Mostafa, Cesar Rojas-Cruz, Mohamed Arafa, Aldo E Calogero, Fotios Dimitriadis, Priyank Kothari, Vilvapathy Senguttuvan Karthikeyan, Keisuke Okada, Koji Chiba, Ates Kadıoglu, Baris Altay, Tahsin Turunc, Birute Zilaitiene, Fatih Gokalp, Aram Adamyan, Darren Katz, Eric Chung, Tiago Cesar Mierzwa, Daniel Suslik Zylbersztejn, Gustavo Marquesine Paul, Nikolaos Sofikitis, Ioannis Sokolakis, Vineet Malhotra, Sakti Ronggowardhana Brodjonegoro, Ricky Adriansjah, Akira Tsujimura, Toshiyasu Amano, Giancarlo Balercia, Imad Ziouziou, Isaac Ardianson Deswanto, Marlon Martinez, Hyun Jun Park, Mustafa Emre Bakırcıoglu, Erman Ceyhan, Kaan Aydos, Jonathan Ramsay, Suks Minhas, Manaf Al Hashimi, Ramy Abou Ghayda, Nicholas Tadros, Puneet Sindhwani, Christopher C K Ho, Rinaldo Indra Rachman, Marcelo Rodriguez Pena, Ahmad Motawi, Arun Karthik Ponnusamy, Satish Dipankar, Azwar Amir, Saleh Binsaleh, Ege Can Serefoglu, Ravi Banthia, Kareim Khalafalla, Ari Basukarno, Nguyen Hoai Bac, Karun Singla, Rafael F Ambar, Konstantinos Makarounis, Shivam Priyadarshi, Gede Wirya Kusuma Duarsa, Widi Atmoko, Sunil Jindal, Eko Arianto, Hamed Akhavizadegan, Haitham El Bardisi, Ohad Shoshany, Gian Maria Busetto, Mohamad Moussa, Mounir Jamali, Mohamed S Al-Marhoon, Mikhail Ruzaev, Hasan M A Farsi, Shingai Mutambirwa, Dong Sup Lee, Deniz Kulaksiz, Yu-Sheng Cheng, Abderrazak Bouzouita, Selcuk Sarikaya, Hussein Kandil, Georgios Tsampoukas, Ala'a Farkouh, Kasonde Bowa, Missy Savira, Nasser Mogharabian, Tan V Le, Maruto Harjanggi, Dang Tuan Anh, Tran Quang Tien Long, Mohammad Ayodhia Soebadi, Lukman Hakim, Marko Tanic, Umut Cagin Ari, Firuza R Parikh, Gokhan Calik, Vinod Kv, Gyem Dorji, Andri Rezano, Osvaldo Rajmil, Dung Mai Ba Tien, Yiming Yuan, Juan Francisco Lizarraga-Salas, Balantine Eze, Kay Seong Ngoo, Joe Lee, Umut Arslan, Ashok Agarwal, Global Andrology Forum

Faculty, Staff and Student Publications

Purpose: The purpose of this meta-analysis is to study the impact of varicocele repair in the largest cohort of infertile males with clinical varicocele by including all available studies, with no language restrictions, comparing intra-person conventional semen parameters before and after the repair of varicoceles.

Materials and methods: The meta-analysis was performed according to PRISMA-P and MOOSE guidelines. A systematic search was performed in Scopus, PubMed, Cochrane, and Embase databases. Eligible studies were selected according to the PICOS model (Population: infertile male patients with clinical varicocele; Intervention: varicocele repair; Comparison: intra-person before-after varicocele repair; Outcome: conventional semen parameters; Study type: …

Technical Aspects And Clinical Limitations Of Sperm Dna Fragmentation Testing In Male Infertility: A Global Survey, Current Guidelines, And Expert Recommendations, Ashok Agarwal, Ala'a Farkouh, Ramadan Saleh, Taha Abo-Almagd Abdel-Meguid Hamoda, Gianmaria Salvio, Florence Boitrelle, Ahmed M Harraz, Ramy Abou Ghayda, Parviz Kavoussi, Murat Gül, Tuncay Toprak, Giorgio Ivan Russo, Damayanthi Durairajanayagam, Amarnath Rambhatla, Ponco Birowo, Rossella Cannarella, Nguyen Ho Vinh Phuoc, Armand Zini, Mohamed Arafa, Christine Wyns, Kelton Tremellen, Selçuk Sarıkaya, Sheena Lewis, Donald P Evenson, Edmund Ko, Aldo E Calogero, Fahmi Bahar, Marlon Martínez, Rafael F Ambar, Giovanni M Colpi, Mustafa Emre Bakircioglu, Ralf Henkel, Hussein Kandil, Ege Can Serefoglu, Abdullah Alfakhri, Akira Tsujimura, Alireza Kheradmand, Angelo Marino, Aram Adamyan, Birute Zilaitiene, Cevahir Ozer, Edoardo Pescatori, Paraskevi Vogiatzi, Gian Maria Busetto, Giancarlo Balercia, Haitham Elbardisi, Hamed Akhavizadegan, Hesamoddin Sajadi, Hisanori Taniguchi, Hyun Jun Park, Israel Maldonado Rosas, Mohamed Al-Marhoon, Mohammad Ali Sadighi Gilani, Naif Alhathal, Nguyen Quang, Germar-Michael Pinggera, Priyank Kothari, Sava Micic, Sheryl Homa, Tran Quang Tien Long, Wael Zohdy, Widi Atmoko, Wael Ibrahim, Marjan Sabbaghian, Saad Mohammed Abumelha, Eric Chung, Muhammet Rasit Ugur, Mehmet Serkan Ozkent, Osama Selim, Mahsa Darbandi, Shinichiro Fukuhara, Mounir Jamali, Jean De La Rosette, Shinnosuke Kuroda, Ryan P Smith, Aykut Baser, Arif Kalkanli, Nicholas N Tadros, Kaan Aydos, Tiago Cesar Mierzwa, Kareim Khalafalla, Vineet Malhotra, Mohamad Moussa, Federica Finocchi, Rinaldo Indra Rachman, Carlo Giulioni, Tomer Avidor-Reiss, Oguzhan Kahraman, Gökhan Çeker, Cătălina Zenoaga-Barbăroșie, Trenton L Barrett, Mehmet Yilmaz, Ates Kadioglu, Sunil Jindal, Huda Omran, Kadir Bocu, Vilvapathy Senguttuvan Karthikeyan, Giorgio Franco, Jesús Fernando Solorzano, Ranjit B Vishwakarma, Eko Arianto, Nicolas Garrido, Divyanu Jain, Nazim Gherabi, Ioannis Sokolakis, Ayad Palani, Gokhan Calik, Deniz Kulaksiz, Vaida Simanaviciene, Mara Simopoulou, Nur Dokuzeylül Güngör, Gideon Blecher, Marco Falcone, Davor Jezek, Mirko Preto, Edouard Amar, Tan V Le, Sun Tae Ahn, Andri Rezano, Keerti Singh, Lucia Rocco, Missy Savira, Osvaldo Rajmil, Sara Darbandi, Emrullah Sogutdelen, Luca Boeri, Guadalupe Hernández, Lukman Hakim, Yoshiharu Morimoto, Andrian Japari, Nikolaos Sofikitis, Baris Altay, Asli Metin Mahmutoglu, Manaf Al Hashimi, Imad Ziouziou, Christina Anagnostopoulou, Haocheng Lin, Rupin Shah

Faculty, Staff and Student Publications

Purpose: Sperm DNA fragmentation (SDF) is a functional sperm abnormality that can impact reproductive potential, for which four assays have been described in the recently published sixth edition of the WHO laboratory manual for the examination and processing of human semen. The purpose of this study was to examine the global practices related to the use of SDF assays and investigate the barriers and limitations that clinicians face in incorporating these tests into their practice.

Materials and methods: Clinicians managing male infertility were invited to complete an online survey on practices related to SDF diagnostic and treatment approaches. Their responses …

Configuring Thermal Ablation Volumes For Treatment Of Distinct Tumor Shapes: A Repeatability Study Using A Robotic Approach, Milica Bulatović, Jan Hermann, Pascale Tinguely, Iwan Paolucci, Stefan Weber

Faculty, Staff and Student Publications

Objectives: In the current clinical practice of thermal ablation treatment for liver tumors, achieving consistent and effective clinical outcomes across tumors of varying shapes, sizes and locations remains challenging. The aim of this study was to evaluate the repeatability of a novel robotic approach for configurable ablation of distinct tumor shapes and compare it to the standard ablation technique for creating ellipsoidal ablation volumes.

Materials and methods: The repeatability was evaluated in terms of width variability in created ablation volumes. Using a robotic navigation platform, custom ablation profiles configured with power, time, and distance parameters were designed to create four …

Pet Image Denoising Based On Denoising Diffusion Probabilistic Model, Kuang Gong, Keith Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan

Faculty, Staff and Student Publications

Purpose: Due to various physical degradation factors and limited counts received, PET image quality needs further improvements. The denoising diffusion probabilistic model (DDPM) was a distribution learning-based model, which tried to transform a normal distribution into a specific data distribution based on iterative refinements. In this work, we proposed and evaluated different DDPM-based methods for PET image denoising.

Methods: Under the DDPM framework, one way to perform PET image denoising was to provide the PET image and/or the prior image as the input. Another way was to supply the prior image as the network input with the PET image included …

Transcriptomics Analysis Reveals Potential Mechanisms Underlying Mitochondrial Dysfunction And T Cell Exhaustion In Astronauts’ Blood Cells In Space, Maria Moreno-Villanueva, Luis E Jimenez-Chavez, Stephanie Krieger, Liang-Hao Ding, Ye Zhang, Adriana Babiak-Vazquez, Mark Berres, Sandra Splinter, Kristen E Pauken, Brian C Schaefer, Brian E Crucian, Honglu Wu

Faculty, Staff and Student Publications

Introduction: The impact of spaceflight on the immune system and mitochondria has been investigated for decades. However, the molecular mechanisms underlying spaceflight-induced immune dysregulations are still unclear.

Methods: In this study, blood from eleven crewmembers was collected before and during International Space Station (ISS) missions. Transcriptomic analysis was performed in isolated peripheral blood mononuclear cells (PBMCs) using RNA-sequencing. Differentially expresses genes (DEG) in space were determined by comparing of the inflight to the preflight samples. Pathways and statistical analyses of these DEG were performed using the Ingenuity Pathway Analysis (IPA) tool.

Results: In comparison to pre-flight, a total of 2030 …

Fitness Consequences Of Depressive Symptoms Vary Between Generations: Evidence From A Large Cohort Of Women Across The 20th Century, Christopher I Gurguis, Renée A Duckworth, Nicole M Bucaro, Consuelo Walss-Bass

Faculty, Staff and Student Publications

Depression has strong negative impacts on how individuals function, leading to the assumption that there is strong negative selection on this trait that should deplete genetic variation and decrease its prevalence in human populations. Yet, depressive symptoms remain common. While there has been a large body of work trying to resolve this paradox by mapping genetic variation of this complex trait, there have been few direct empirical tests of the core assumption that there is consistent negative selection on depression in human populations. Here, we use a unique long-term dataset from the National Health and Nutrition Examination Survey that spans …

Tim/Tam Receptors: A Potential Biomarker For Predicting Sensitivity To Zika Virus-Induced Oncolysis In Non-Small Cell Lung Cancers, Shankari Somasekar

Honors Undergraduate Theses

Non-small cell lung cancers (NSCLC) constitute 80-85% of lung cancers and are the leading cause of cancer-related deaths globally. The most common cause is prolonged smoking. Current treatment options for NSCLC include surgery, radiation, chemotherapy, targeted drug therapy, and immunotherapy. Although these medications are effective in the short term, patients often face issues of drug resistance and debilitating side effects with prolonged use. Currently, the use of Zika virus (ZIKV) is being researched as a possible alternative treatment for cancer, which minimizes side effects and the risk of drug resistance. TIM/TAM proteins are identified as the putative ZIKV receptors on …

Fgf5, Evelyn A Carrion, Malcolm M Moses, Richard R Behringer

Faculty, Staff and Student Publications

FGF5 functions as a negative regulator of the hair cycle in mammals. It is expressed in the outer root sheath of hair follicles during the late anagen phase of the hair cycle. It functions as a signaling molecule, mediating the transition of the anagen growth phase to catagen regression phase of the hair cycle. Spontaneous and engineered FGF5 mutations in mammalian animal models result in long hair phenotypes. In humans, inherited FGF5 mutations result in trichomegaly (long eyelashes). Knockdown of fgf5 in zebrafish embryos results in inner ear alterations. Alterations in FGF5 expression are also associated with various human pathologies.

Engravings, Secrets, And Interpretability Of Neural Networks, Nathaniel Hobbs, Periklis A Papakonstantinou, Jaideep Vaidya

Faculty, Staff and Student Publications

This work proposes a definition and examines the problem of undetectably engraving special input/output information into a Neural Network (NN). Investigation of this problem is significant given the ubiquity of neural networks and society's reliance on their proper training and use. We systematically study this question and provide (1) definitions of security for secret engravings, (2) machine learning methods for the construction of an engraved network, (3) a threat model that is instantiated with state-of-the-art interpretability methods to devise distinguishers/attackers. In this work, there are two kinds of algorithms. First, the constructions of engravings through machine learning training methods. Second, …

Igamt: Privacy-Preserving Electronic Health Record Synthesization With Heterogeneity And Irregularity, Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-An Ko, Li Xiong

Faculty, Staff and Student Publications

Utilizing electronic health records (EHR) for machine learning-driven clinical research has great potential to enhance outcome predictions and treatment personalization. Nonetheless, due to privacy and security concerns, the secondary use of EHR data is regulated, constraining researchers’ access to EHR data. Generating synthetic EHR data with deep learning methods is a viable and promising approach to mitigate privacy concerns, offering not only a supplementary resource for downstream applications but also sidestepping the privacy risks associated with real patient data. While prior efforts have concentrated on EHR data synthesis, significant challenges persist: addressing the heterogeneity of features including temporal and non-temporal …

Federated Node Classification Over Distributed Ego-Networks With Secure Contrastive Embedding Sharing, Han Xie, Li Xiong, Carl Yang

Faculty, Staff and Student Publications

Federated learning on graphs (a.k.a., federated graph learning- FGL) has recently received increasing attention due to its capacity to enable collaborative learning over distributed graph datasets without compromising local clients' data privacy. In previous works, clients of FGL typically represent institutes or organizations that possess sets of entire graphs (e.g., molecule graphs in biochemical research) or parts of a larger graph (e.g., sub-user networks of e-commerce platforms). However, another natural paradigm exists where clients act as remote devices retaining the graph structures of local neighborhoods centered around the device owners (i.e., ego-networks), which can be modeled for specific graph applications …

Bridging The Gap: Rademacher Complexity In Robust And Standard Generalization, Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie J Su

Faculty, Staff and Student Publications

Training Deep Neural Networks (DNNs) with adversarial examples often results in poor generalization to test-time adversarial data. This paper investigates this issue, known as adversarially robust generalization, through the lens of Rademacher complexity. Building upon the studies by Khim and Loh (2018); Yin et al. (2019), numerous works have been dedicated to this problem, yet achieving a satisfactory bound remains an elusive goal. Existing works on DNNs either apply to a surrogate loss instead of the robust loss or yield bounds that are notably looser compared to their standard counterparts. In the latter case, the bounds have a …

Privacy-Preserving Fingerprinting Against Collusion And Correlation Threats In Genomic Data, Tianxi Ji, Erman Ayday, Emre Yilmaz, Pan Li

Faculty, Staff and Student Publications

Sharing genomic databases is critical to the collaborative research in computational biology. A shared database is more informative than specific genome-wide association studies (GWAS) statistics as it enables “do-it-yourself” calculations. Genomic databases involve intellectual efforts from the curator and sensitive information of participants, thus in the course of data sharing, the curator (database owner) should be able to prevent unauthorized redistributions and protect individuals’ genomic data privacy. As it becomes increasingly common for a single database be shared with multiple recipients, the shared genomic database should also be robust against collusion attack, where multiple malicious recipients combine their individual copies …

Fairness-Aware Estimation Of Graphical Models, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen

Faculty, Staff and Student Publications

This paper examines the issue of fairness in the estimation of graphical models (GMs), particularly Gaussian, Covariance, and Ising models. These models play a vital role in understanding complex relationships in high-dimensional data. However, standard GMs can result in biased outcomes, especially when the underlying data involves sensitive characteristics or protected groups. To address this, we introduce a comprehensive framework designed to reduce bias in the estimation of GMs related to protected attributes. Our approach involves the integration of the pairwise graph disparity error and a tailored loss function into a nonsmooth multi-objective optimization problem, striving to achieve fairness across …

Facilitating Clinical Information Extraction With Synthetic Data And Ontology Using Large Language Models, Yan Hu, Huan He, Qingyu Chen, Xiaoqian Jiang, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

The rapid growth of unstructured clinical text in electronic health records necessitates robust information extraction systems, yet their development is hindered by the scarcity of high-quality annotated data. This study explores the potential of large language models to generate synthetic data for clinical named entity recognition and examines its impact on model performance. We propose a novel framework that integrates self-verified synthetic data generation with domain-specific semantic mapping using SNOMED-CT. By leveraging GPT-4o-mini for synthetic data creation and refining its quality through iterative verification and anomaly detection, we systematically evaluate the influence of synthetic data quality and quantity on fine-tuning …

Narrative Feature Or Structured Feature? A Study Of Large Language Models To Identify Cancer Patients At Risk Of Heart Failure, Ziyi Chen, Mengyuan Zhang, Mustafa Mohammed Ahmed, Yi Guo, Thomas J George, Jiang Bian, Yonghui Wu

Faculty, Staff and Student Publications

Cancer treatments are known to introduce cardiotoxicity, negatively impacting outcomes and survivorship. Identifying cancer patients at risk of heart failure (HF) is critical to improving cancer treatment outcomes and safety. This study examined machine learning (ML) models to identify cancer patients at risk of HF using electronic health records (EHRs), including traditional ML, Time-Aware long short-term memory (T-LSTM), and large language models (LLMs) using novel narrative features derived from the structured medical codes. We identified a cancer cohort of 12,806 patients from the University of Florida Health, diagnosed with lung, breast, and colorectal cancers, among which 1,602 individuals developed HF …

Descriptor: Synthetic Genomic Dataset With Diverse Ancestry (Syngen6), Xinyue Wang, Sitao Min, Jaideep Vaidya

Faculty, Staff and Student Publications

Advancements in genomic analysis techniques and data-driven research are driving precision medicine. However, in many cases, these advances are not equitable and do not help all subpopulations, since many existing genomic datasets lack diversity, limiting their applicability for studying populations beyond those of European ancestry. Thus, to advance genomic analysis and to allow for a fair benchmarking of novel proposed approaches, there is a significant demand for balanced and representative datasets. To address this issue, we developed,

Impact Of P53-Associated Acute Myeloid Leukemia Hallmarks On Metabolism And The Immune Environment, Monika Chomczyk, Luca Gazzola, Shubhankar Dash, Patryk Firmanty, Binsah S George, Vakul Mohanty, Hussein A Abbas, Natalia Baran

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML), an aggressive malignancy of hematopoietic stem cells, is characterized by the blockade of cell differentiation, uncontrolled proliferation, and cell expansion that impairs healthy hematopoiesis and results in pancytopenia and susceptibility to infections. Several genetic and chromosomal aberrations play a role in AML and influence patient outcomes. TP53 is a key tumor suppressor gene involved in a variety of cell features, such as cell-cycle regulation, genome stability, proliferation, differentiation, stem-cell homeostasis, apoptosis, metabolism, senescence, and the repair of DNA damage in response to cellular stress. In AML, TP53 alterations occur in 5%-12% of de novo AML …

Rural Racial Disparities And Barriers In Mammography Utilization Among Medicare Beneficiaries In Texas: A Longitudinal Study, Zhaoli Liu, Yong Shan, Yong-Fang Kuo, Sharon H Giordano

Faculty, Staff and Student Publications

This study examined rural racial/ethnic disparities in long-term mammography screening practices among Medicare beneficiaries. A retrospective longitudinal study was conducted using 100% Texas Medicare data for women aged 65-74 who enrolled in Medicare between 2010-2013. Of the 114,939 eligible women, 21.2% of Hispanics, 33.3% of non-Hispanic Blacks (NHB), and 38.4% non-Hispanic Whites (NHW) in rural areas were regular users of mammography, compared to 33.5%, 44.9%, and 45.3% of their counterparts in urban areas, respectively. Stratification analyses showed rural Hispanics and NHB were 33% (95% CI, 25% - 40%) and 22% (95% CI, 6% - 36%) less likely to be regular …

The Baseline Hemoglobin Level Is A Positive Biomarker For Immunotherapy Response And Can Improve The Predictability Of Tumor Mutation Burden For Immunotherapy Response In Cancer, Yin He, Tong Ren, Chengfei Ji, Li Zhao, Xiaosheng Wang

Faculty, Staff and Student Publications

Purpose: Because only a subset of cancer patients can benefit from immunotherapy, identifying predictive biomarkers of ICI therapy response is of utmost importance.

Methods: We analyzed the association between hemoglobin (HGB) levels and clinical outcomes in 1,479 ICIs-treated patients across 16 cancer types. We explored the dose-dependent associations between HGB levels and survival and immunotherapy response using the spline-based cox regression analysis. Furthermore, we investigated the associations across subgroups of patients with different clinicopathological characteristics, treatment programs and cancer types using the bootstrap resampling method.

Results: HGB levels correlated positively with clinical outcomes in cancer patients receiving immunotherapy but not …

A Brief But Comprehensive Three-Item Social Connectedness Screener For Use In Social Risk Assessment Tools, Nancy P Gordon, Matthiew C Stiefel

Faculty, Staff and Student Publications

BACKGROUND: The 2014 IOM report "Capturing Social and Behavioral Domains and Measures in Electronic Health Records" described three subdomains of social relationships that affect patient health and well-being. However, most social risk screeners currently assess only one subdomain, frequency of social connections. We are proposing a three-item Brief Social Connectedness (SC) screener that additionally assesses risks in social/emotional support and loneliness/social isolation subdomains.

METHODS: For this cross-sectional study, we used data from a 2021 Kaiser Permanente Northern California (KPNC) social risk survey for 2244 members ages 35-85 years. The survey included three validated questions that covered the SC subdomains (frequencies …

Failure To Mate Enhances Investment In Behaviors That May Promote Mating Reward And Impairs The Ability To Cope With Stressors Via A Subpopulation Of Neuropeptide F Receptor Neurons, Julia Ryvkin, Liora Omesi, Yong-Kyu Kim, Mali Levi, Hadar Pozeilov, Lital Barak-Buchris, Bella Agranovich, Ifat Abramovich, Eyal Gottlieb, Avi Jacob, Dick R Nässel, Ulrike Heberlein, Galit Shohat-Ophir

Faculty, Staff and Student Publications

Living in dynamic environments such as the social domain, where interaction with others determines the reproductive success of individuals, requires the ability to recognize opportunities to obtain natural rewards and cope with challenges that are associated with achieving them. As such, actions that promote survival and reproduction are reinforced by the brain reward system, whereas coping with the challenges associated with obtaining these rewards is mediated by stress-response pathways, the activation of which can impair health and shorten lifespan. While much research has been devoted to understanding mechanisms underlying the way by which natural rewards are processed by the reward …

Sudden Unexpected Intrapartum Death And Left Ventricular Noncompaction Involving The Right Ventricle, Giulia Ottaviani, Tobia Tomasello, Francesca Boggio, Letterio Runza, Alessandro Del Gobbo, L Maximilian Buja

Faculty, Staff and Student Publications

Left ventricular noncompaction (LVNC), involving mainly the right ventricle, is a rare form of congenital heart disorder characterized by a developmental arrest in myocardial compaction, resulting in a spongy appearance of the myocardium, mainly of the right ventricle, rarely detected in fetuses. We report the case of a female fetus with a gestational age of 41+4 weeks who came to our attention for intrapartum sudden unexpected death, resulting in stillbirth. The ventricular walls, particularly the right ventricular wall, appeared thick, hypertrabeculated and spongy, leading to the diagnosis of LVNC involving mainly the right ventricle. The atrioventricular node and His bundle …