Digital Commons Network^™

Characteristics Of A V-Shaped Rectenna For 28.3 Thz Energy Harvesting., Aboubacar Savadogo, Thomas Nyachoti Nyangonda, Bernard Odhiambo Aduda, Uli Lemmer Mohamed Hussein

All Rsif Scholars' Publications

A rectenna structure based on a potentially printable V-shaped nanoantenna (VSNA) design is introduced and numerically analyzed. The characteristics of the VSNA structure have been investigated through the electric field enhancement and radiation efficiency used as figures of merit to evaluate its performance. A comparative study has been performed between the VSNA and a conventional dipole THz antenna based on the same dimension constraints. Therefore, the VSNA has shown better and more localized field enhancement at the arm tips. Furthermore, an optimization process has been carried out to maximize the electric field at the resonance frequency (28.3 THz). The suggested …

Optimizing Gasification In Downdraft Fixed-Bed Gasifier Through Experimental And Kinetic Modeling, Hamado Ouedraogo, Sayon Dit Sadio Sidibe, Yohan Richardson

All Rsif Scholars' Publications

Gasification is an effective way of converting biomass into electricity. However, determining optimal conditions to reach higher temperature gradients and ensure thermal stability of the reactors for syngas production is challenging. This paper presents a hybrid static and dynamic model for optimizing fixed-bed biomass gasification using experimental data. A reduction-model has been developed and simulated using MATLAB to optimize the reduction process, which involves the most important reactions in syngas production. The analytical results show significant improvements, with the volume fractions of CO increasing from the initial value of 15.10 % to the simulated value of 30.77 % between 650 …

First-Principles Investigation Of Structural, Mechanical, Electronic, And Thermal Properties Of Half-Heusler Zrptsn, Lynet Allan, Julius M. Mwabora, Winfred M. Mulwa, R. E Mapasha, Robinson J. Musembi

All Rsif Scholars' Publications

This study explores the structural, mechanical, electronic, lattice dynamical, and thermal properties of the half-Heusler ZrPtSn using first-principles density functional theory. The goal is to assess its suitability for electronic and thermoelectric applications. Structural optimization confirmed stability under ambient conditions. Mechanical properties, including bulk, shear, and Young’s moduli, were evaluated for stiffness and ductility. Electronic structure analysis determined its semiconducting nature, with band gaps of 1.10 eV (without SOC) and 0.95 eV (with SOC). Phonon dispersion was analyzed to assess dynamical stability. ZrPtSn was dynamically stable, with no imaginary phonon modes. Its band gap suggests potential for optoelectronic applications. These …

Improving Optical Efficiency Of Linear Fresnel Collectors In The Sahel Via Position And Length Adjustment, Souwera Stan Lionnel Somda, Kokouvi Edem N’Tsoukpoe

All Rsif Scholars' Publications

Linear Fresnel concentrators are promising technologies for solar thermal applications, but their performance is often hindered by end losses and inefficiencies related to receiver design and placement. This study aimed to enhance LFC optical performance under the specific solar conditions of the Sahel region by exploring dynamic receiver displacement and tailored receiver length extension. The methodology involved calculating the maximum non-illuminated receiver length analytically for each solar condition and simulating various displacement frequencies (weekly, biweekly, and monthly) using the Tonatiuh ray-tracing tool. The combined strategies of dynamic receiver adjustment and analytically optimised receiver length were evaluated in terms of annual …

Identification Of Potential Vectors And Detection Of Rift Valley Fever Virus In Mosquitoes Collected Before And During The 2022 Outbreak In Rwanda, Isidore Nsengimana, Emmanuel Hakizimana, Jackie Mupfasoni, Jean Nepomuscene Hakizimana, Augustino A. Chengula, Christopher J. Kasanga, Gillian Eastwood

All Rsif Scholars' Publications

Rift Valley fever virus (RVFV) is an emerging mosquito-borne arbovirus of One Health importance that caused two large outbreaks in Rwanda in 2018 and 2022. Information on vector species with a role in RVFV eco-epidemiology in Rwanda is scarce. Here we sought to identify potential mosquito vectors of RVFV in Rwanda, their distribution and abundance, as well as their infection status. Since an outbreak of RVF occurred during the study period, data were obtained both during an interepidemic period and during the 2022 Rwanda RVF outbreak. Five districts of the eastern province of Rwanda were prospected using a combination of …

Artificial Intelligence-Driven Near-Infrared Spectrophotometry Model For Rapid Quantification Of Anti-Nutritional Factors In Soybean (Glycine Max.), Noberto Jose Palange, Tonny Obua Tonny Obua, Julius Pyton Sserumaga, Enoch Wembabazi, Mildred Ochwo-Ssemakula, Ephraim Nuwamanya, Isaac Onziga Dramadri, Moses Matovu, Richard Edema, Phinehas Tukamuhabwa

All Rsif Scholars' Publications

Anti-nutritional factors can impact soybean nutrient bioavailability when consumed by monogastric animals. However, conventional methods available for quantifying anti-nutritional factors such as phytate and trypsin inhibitors in feeds are laboratory-intensive, time-consuming, expensive, and error-prone. This study developed near-infrared spectrophotometry (NIRS)-based models to quantify phytate and trypsin inhibitors in soybean. Thus, a set of 190 soybean genotypes assayed through conventional wet chemistry was used as a reference for model development and cross-validation. Using a benchtop NIR instrument (DS2500), spectra readings between 400 and 2500 nm were taken from each soybean sample. Mean values for phytate and total trypsin inhibitors (TTI) were …

Advancing Sustainable Practices: Integrated Pedological Characterization And Suitability Assessment For Enhanced Irish Potato Production In Tsangano And Angónia Districts Of Tete Province, Mozambique., Tamara Jose Sande, Balthazar Michael Msanya, Hamisi Juma Tindwa, Alessandra Mayumi Tokura Alovisi, Johnson M. Semoka, Mawazo Shitindi

All Rsif Scholars' Publications

Irish potato (Solanum tuberosum) is a critical crop for food security and economic growth in Tsangano and Angónia Districts, Central Mozambique. Challenges like inconsistent yields and variable quality are often linked to suboptimal soil conditions, which limit production. This study aimed to classify and evaluate the suitability of soils for potato cultivation in Tete Province, where detailed soil assessments remain limited. Four pedons—TSA-P01 and TSA-P02 in Tsangano and ANGO-P01 and ANGO-P02 in Angónia—were examined for bulk density, texture, pH, organic carbon, and nutrient content using a combination of pedological methods and laboratory soil analysis. To determine each site’s potential for …

Fermentation, Handling And Claimed Therapeutic Effects Of Dhanaan: An Ethiopian Fermented Camel Milk, Tiruha Habte Karssa, Jamal B. Kussaga, Teresa Lemsaddek Lemsaddek, Jovin K. Mugula

All Rsif Scholars' Publications

Dhanaan is a spontaneously fermented camel milk that is popular in the Somali regional state of Ethiopia and plays a sig- nificant role in the livelihoods of pastoral communities. This study aimed to investigate traditional fermentation methods of dhanaan in these communities. Four districts, namely, Gursum, Shabelle, Degehabur, and Birqot, were purposively selected on the basis of camel rearing, camel milk production, and consumption. A cross-sectional survey of traditional fermentation methods, handling, utilization, and the claimed therapeutic effects of dhanaan was conducted using both open- and closed- ended questions in the districts. The traditional preparation of dhanaan involves spontaneous fermentation …

Associations Of Vegetable And Potato Intakes With Markers Of Type 2 Diabetes Risk In The Ausdiab Cohort, Pratik Pokharel, Lauren C. Blekkenhorst, Catherine P. Bondonno, Kevin Murray, Simone Radavelli-Bagatini, Dianna J. Magliano, Robin M. Daly, Jonathan E. Shaw, Joshua Lewis, Jonathan M. Hodgson, Nicola P. Bondonno

Research outputs 2022 to 2026

Context: The associations of vegetable and potato intakes with type 2 diabetes (T2D) appear to be nuanced, depending on vegetable types and preparation method, respectively.

Objective: We investigated the associations of total vegetable, vegetable subgroup, and potato intakes with (1) markers of T2D at baseline and (2) incident T2D cumulative over a 12-year follow-up period in Australian adults.

Methods: Using data from the Australian Diabetes, Obesity and Lifestyle Study, intakes of vegetables and potatoes were assessed via a food frequency questionnaire at baseline. Associations between vegetable intake and (1) fasting plasma glucose (FPG), 2-hour postload plasma glucose (PLG), updated homeostasis …

Ganglioside Gd2 Contributes To A Stem-Like Phenotype In Intrahepatic Cholangiocarcinoma, Antonella Mannini, Mirella Pastore, Alessia Giachi, Margherita Correnti, Elena Spínola Lasso, Tiziano Lottini, Benedetta Piombanti, Ignazia Tusa, Elisabetta Rovida, Cédric Coulouarn, Jesper B Andersen, Monika Lewinska, Claudia Campani, V Lokesh Battula, Bin Yuan, Massimo Aureli, Emma V Carsana, Caterina Peraldo Neia, Paola Ostano, Alessia Tani, Daniele Nosi, Anna Vanni, Laura Maggi, Luca Di Tommaso, Giuseppina Comito, Stefania Madiai, Annarosa Arcangeli, Fabio Marra, Chiara Raggi

Faculty, Staff and Student Publications

BACKGROUND & AIMS: GD2, a member of the ganglioside (GS) family (sialic acid-containing glycosphingolipids), is a potential biomarker of cancer stem cells (CSC) in several tumours. However, the possible role of GD2 and its biosynthetic enzyme, GD3 synthase (GD3S), in intrahepatic cholangiocarcinoma (iCCA) has not been explored.

METHODS: The stem-like subset of two iCCA cell lines was enriched by sphere culture (SPH) and compared to monolayer parental cells (MON). GS profiles were evaluated by chromatography, after feeding with radioactive sphingosine. Membrane GD2 expression was evaluated by FACS, and the expression of enzymes of GS biosynthesis was analysed by RT-qPCR. The …

Ft538, Ipsc-Derived Nk Cells, Enhance Aml Cell Killing When Combined With Chemotherapy, Amanda Eckstrom, Anudishi Tyagi, Sajid Mahmood, Lilly Wong, Bahram Valamehr, Adishwar Rao, Akriti Agrawal, Maryam Siddiqui, V Lokesh Battula

Faculty, Staff and Student Publications

Induced pluripotent stem cell (iPSC)-derived natural killer (NK) cells offer an opportunity for a standardized, off-the-shelf treatment with the potential to treat a wider population of acute myeloid leukaemia (AML) patients than the current standard of care. FT538 iPSC-NKs express a high-affinity, noncleavable CD16 to maximize antibody dependent cellular cytotoxicity, a CD38 knockout to improve metabolic fitness, and an IL-15/IL-15 receptor fusion preventing the need for cytokine administration, the main source of adverse effects in NK cell-based therapies. Here, we sought to evaluate the potential of FT538 iPSC-NKs as a therapy for AML through their effect on AML cell lines …

Development And Validation Of Natural Language Processing Algorithms In The National Enact Network, Yanshan Wang, Jordan Hilsman, Chenyu Li, Michele Morris, Paul M Heider, Sunyang Fu, Min Ji Kwak, Andrew Wen, Joseph R Applegate, Liwei Wang, Elmer Bernstam, Hongfang Liu, Jack Chang, Daniel R Harris, Alexandria Corbeau, Darren Henderson, John Osborne, Richard E Kennedy, Nelly-Estefanie Garduno-Rapp, Justin F Rousseau, Chao Yan, You Chen, Mayur B Patel, Tyler J Murphy, Bradley A Malin, Chan Mi Park, Jungwei W Fan, Sunghwan Sohn, Sandeep Pagali, Yifan Peng, Aman Pathak, Yonghui Wu, Zongqi Xia, Salvatore Loguercio, Steven E Reis, Shyam Visweswaran

Faculty, Staff and Student Publications

Objective: Electronic Health Record (EHR) data are critical for advancing translational research and AI technologies. The ENACT network offers access to structured EHR data across 57 CTSA hubs. However, substantial information is contained in clinical narratives, requiring natural language processing (NLP) for research. The ENACT NLP Working Group was formed to make NLP-derived clinical information accessible and queryable across the network.

Methods: We established the ENACT NLP Working Group with 13 sites selected based on criteria including clinical notes access, IT infrastructure, NLP expertise, and institutional support. We divided sites into five focus groups targeting clinical tasks within disease contexts. …

Epidemiology Of Patient Record Duplication, Onur Sahin, Audrey Zhao, Reuben Joseph Applegate, Todd R Johnson, Elmer V Bernstam

Faculty, Staff and Student Publications

Objectives: Duplicate patient records can increase costs and medical errors. We assessed the association between demographic factors, comorbidities, health care usage, and duplicate electronic health records.

Methods: We analyzed the association between duplicate patient records and multiple demographic variables (race, Hispanic ethnicity, sex, and age) as well as the Charlson Comorbidity Index (CCI), number of diagnoses, and number of health care encounters. The study population included 3,018,413 patients seen at a large urban academic medical center with at least one recorded diagnosis. Duplication of patient medical records was determined by using a previously validated enterprise Master Person Index.

Results: Unknown …

Quantitatively Assessing The Impact Of The Quality Of Snomed Ct Subtype Hierarchy On Cohort Queries, Xubing Hao, Xiaojin Li, Yan Huang, Jay Shi, Rashmie Abeysinghe, Cui Tao, Kirk Roberts, Guo-Qiang Zhang, Licong Cui

Faculty, Staff and Student Publications

Objective: SNOMED CT provides a standardized terminology for clinical concepts, allowing cohort queries over heterogeneous clinical data including Electronic Health Records (EHRs). While it is intuitive that missing and inaccurate subtype (or is-a) relations in SNOMED CT reduce the recall and precision of cohort queries, the extent of these impacts has not been formally assessed. This study fills this gap by developing quantitative metrics to measure these impacts and performing statistical analysis on their significance.

Material and methods: We used the Optum de-identified COVID-19 Electronic Health Record dataset. We defined micro-averaged and macro-averaged recall and precision metrics to assess the …

Single-Cell Multiome Characterizing Intercellular Communication And Intracellular Regulation Of Epithelium And Mesenchymal During Secondary Palate Development In Mice, Usama Hussein, Yulin Dai, Andi Liu, Toshiyuki Itai, Fangfang Yan, Lukas M Simon, Zhongming Zhao

Faculty, Staff and Student Publications

Cell-cell communication between adjacent tissues is fundamental to orchestrating organ morphogenesis. During secondary palate development, interactions between epithelial and mesenchymal cells regulate epithelial-mesenchymal signaling, thereby controlling cell proliferation, differentiation, and tissue patterning. However, the precise molecular mechanisms underlying these interactions remain largely unexplored. In this study, we employed single-cell multiome sequencing to simultaneously profile chromatin accessibility and gene expression in 35,150 individual cells isolated from the developing mouse secondary palate at embryonic days E12.5, E13.5, E14.0, and E14.5. Our analysis revealed that intercellular signaling plays a pivotal role in directing secondary palate morphogenesis, with WNT, BMP, and PDGF pathways emerging …

Building Patient-Facing Technology: A Redcap-Based Approach, Yuheng Shi, Eric Yang, Katie Gahn, Heidi Mason, Yun Jiang, Yang Gong

Faculty, Staff and Student Publications

This work describes the architecture design of a patient-facing technology (PFT) based on the Research Electronic Data Capture (REDCap) platform and other tools to support cancer patients in self-tracking and managing medication concerns and symptoms during transitions of care. The design is guided by the Chronic Care Model (CCM) and User-Centered Design (UCD) principles for a personalized application to inform, engage, and empower patients. We describe the evolutional details of four major versions, which represent milestones of our PFT, highlighting how specific objectives were achieved and the barriers encountered. Additionally, patient representatives were involved in the evaluation of prototypes, and …

18 Kda Translocator Protein (Tspo) Is Upregulated In Rat Brain After Peripheral Nerve Injury And Downregulated By Diroximel Fumarate, Rafael A Cazuza, Sever M Zagrai, Anamaria R Grieco, Thomas D Avery, Andrew D Abell, Hsiao-Ying Wey, Marco L Loggia, Peter M Grace

Faculty, Staff and Student Publications

Neuroimmune signaling is a key process underlying neuropathic pain. Clinical studies have demonstrated that 18 kDa translocator protein (TSPO), a putative marker of neuroinflammation, is upregulated in discrete brain regions of patients with chronic pain. However, no preclinical studies have investigated TSPO dynamics in the brain in the context of neuropathic pain and in response to analgesic treatments. We used positron emission tomography-computed tomography (PET-CT) and [18F]-PBR06 radioligand to measure TSPO levels in the brain across time after chronic constriction injury (CCI) of the sciatic nerve in both male and female rats. Up to 10 weeks post-CCI, TSPO expression was …

High-Grade B-Cell Lymphoma Not Otherwise Specified, With Diffuse Large B-Cell Lymphoma Gene Expression Signatures: Genomic Analysis And Potential Therapeutics, Waseem Lone, Alyssa Bouska, Tyler A Herek, Catalina Amador, Joo Song, Alexander M Xu, Dylan Jochum, Issa Ismail Issa, Dennis D Weisenburger, Xuan Zhang, Sharath Kumar Bhagavathi, Tayla B Heavican-Foral, Sunandini Sharma, Ab Rauf Shah, Abdul Rouf Mir, Aisha Ahmad Alkhinji, Dalia El-Gamal, Bhavana J Dave, Keenan Hartert, Jiayu Yu, Mallick Saumyaranjan, Timothy C Greiner, Julie Vose, Timothy W Mckeithan, Kai Fu, Michael Green, Chengfeng Bi, Akil Merchant, Wing C Chan, Javeed Iqbal

Faculty, Staff and Student Publications

High-grade B-cell lymphoma not otherwise specified (HGBCL, NOS) has overlapping morphological and genetic features with diffuse large B-cell lymphoma (DLBCL) and Burkitt lymphoma (BL), leading to uncertainty in its diagnosis and clinical management. Using functional genomic approaches, we previously characterized HGBCL and NOS, that demonstrate gene expression profiling (GEP), and genetic signatures similar to BL. Herein, we characterize distinct HGBCL, NOS, cohort (n = 55) in adults (n = 45) and in children (n = 10), and compared the GEP, genomic DNA copy number (CN), and mutational spectrum with de novo DLBCL (n = 85) and BL (n = 52). …

Plasma Dna Methylation-Based Biomarkers For Mpnst Detection In Patients With Neurofibromatosis Type 1, Katarzyna Tomczak, Manishkumar S Patel, Angela D Bhalla, Christine B Peterson, Sharon M Landers, S Carson Callahan, Di Zhang, Justin Wong, Jace P Landry, Alexander J Lazar, J Andrew Livingston, B Ashleigh Guadagnolo, Heather G Lyu, Heather Lillemoe, Christina L Roland, Emily Z Keung, Christopher P Scally, Kelly K Hunt, Ian E Mccutcheon, John M Slopis, Jian Gu, Paul Scheet, Liang Wang, Kunal Rai, Keila E Torres

Faculty, Staff and Student Publications

Malignant peripheral nerve sheath tumor (MPNST) development is characterized by an altered DNA methylation landscape, which presents a promising area for developing MPNST-specific biomarkers for screening patients with NF1. Genome-wide DNA methylation profiling of a cohort of 13 patients with MPNST (29 samples of tumor and adjacent neurofibroma tissues) and of NF1-MPNST cell lines was performed to identify and validate candidate MPNST-specific CpG sites (CpGs). A logistic regression prediction model was constructed to select MPNST-specific CpGs distinct from adjacent neurofibromas and normal tissues. To test if hypermethylation at selected CpGs can also be detected in plasma from patients with MPNST, …

Approach To Determining Etiology Of Hypophosphatemia In A Patient With Coexisting Phosphaturic Mesenchymal Tumor And Fibrous Dysplasia, Madhuri D Patil, Sintawat Wangsiricharoen, Alexander J Lazar, Bryan Moon, John E Madewell, Michael T Collins, Theresa A Guise

Faculty, Staff and Student Publications

Dysregulated FGF23 production is a demonstrated cause of hypophosphatemia and osteomalacia. Diseases associated with these conditions include phosphaturic mesenchymal tumor (PMT) causing tumor induced osteomalacia, various forms of rickets, and fibrous dysplasia (FD). Coexistence of 2 conditions that can increase FGF23 concentrations is rare. We report a case of a 79-yr-old man who presented with rib and right flank pain. Imaging revealed bone lesions in the right iliac wing, left supra-acetabular area, and L4 vertebral body. Biopsies showed a right iliac PMT and left supra-acetabular FD. Cryoablation of both lesions resolved the phosphaturia with normalization of phosphorus level. Coexistence of …

Ntrk Fusion-Positive Thyroid Carcinoma: From Diagnosis To Targeted Therapy, Vicente R Marczyk, Sasan Fazeli, Ramona Dadu, Naifa L Busaidy, Priyanka Iyer, Mimi I Hu, Steven I Sherman, Sarah Hamidi, Sayed Mohsen Hosseini, Michelle D Williams, Salmaan Ahmed, Mark J Routbort, Raja Luthra, Sinchita Roy-Chowdhuri, Francis Anthony San Lucas, Keyur P Patel, David S Hong, Mark Zafereo, Jennifer R Wang, Anastasios Maniakas, Steven G Waguespack, Maria E Cabanillas

Faculty, Staff and Student Publications

Purpose: Neurotrophic tropomyosin receptor kinase (NTRK) fusions may act as an oncogenic driver in thyroid carcinomas. Given their low frequency, clinical, pathological, and molecular data on these patients and their responses to targeted therapies are limited.

Methods: This is an observational retrospective study conducted at a single high-volume cancer center in the United States. Data were retrospectively collected from medical records.

Results: We included 65 patients (37 adult, 28 pediatric) with an NTRK fusion-positive thyroid carcinoma (24 NTRK1, 41 NTRK3), of which 54 were papillary thyroid carcinomas (PTC), four poorly differentiated thyroid carcinomas (PDTC), and seven …

Intelligent Biology And Medicine: Accelerating Innovative Computational Approaches, Fuhai Li, Li Liu, Kai Wang, Xiaoming Liu, Zhongming Zhao

Faculty, Staff and Student Publications

In this editorial, we summarize the 2023 International Conference on Intelligent Biology and Medicine (ICIBM 2023) conference which was held on July 16-19, 2023 in Tampa, Florida, USA. We then briefly describe the nine research articles included in this special issue. ICIBM 2023 scientific program included four tutorials and workshops, four keynote lectures, four eminent scholars' presentations, 11 concurrent scientific sessions, and a poster session. We had total of 88 scientific oral presentations, including 62 regular oral presentations and 26 flash talks, as well as 46 poster presentations. The topics of these presentations covered artificial intelligence (AI), data sciences, bioinformatics, …

Deep5mc: Predicting 5-Methylcytosine (5mc) Methylation Status Using A Deep Learning Transformer Approach, Evan Kinnear, Houssemeddine Derbel, Zhongming Zhao, Qian Liu

Faculty, Staff and Student Publications

DNA methylations, such as 5-methylcytosine (5mC), are crucial in biological processes, and aberrant methylations are strongly linked to various human diseases. Genomic 5mC is not randomly distributed but exhibits a strong association with genomic sequences. Thus, various computational methods were developed to predict 5mC status based on DNA sequences. These methods generated promising achievements and overcome the limitations of experimental approaches. However, few studies have comprehensively investigated the dependency of 5mC on genomic sequences, and most existing methods focus on specific genomic regions. In this work, we introduce Deep5mC, a deep learning transformer-based method designed to predict 5mC methylations. Deep5mC …

Mmrt: Multimut Recursive Tree For Predicting Functional Effects Of High-Order Protein Variants From Low-Order Variants, Bryce Forrest, Houssemeddine Derbel, Zhongming Zhao, Qian Liu

Faculty, Staff and Student Publications

Protein sequences primarily determine their stability and functions. Mutations may occur at one, two, or three positions at the same time (low-order variants) or at multiple positions simultaneously (high-order variants), which affect protein functions. So far, low-order variants, such as single variants, double variants, and triple variants, have been well-studied through high-throughput experimental scanning techniques and computational prediction methods. However, research on high-order variants remains limited because of the difficulty of scanning an exponentially large number of potential variant combinations. Nonetheless, studying higher-order variants is crucial for understanding the pathogenesis of complex diseases, advancing protein engineering, and driving precision medicine. …

Enhancing The Utility Of Polygenic Scores In Alzheimer’S Disease Through Systematic Curation And Annotation, Savannah Mwesigwa, Yulin Dai, Nitesh Enduru, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Polygenic Scores (PGSs) assess cumulative genetic risk variants that contribute to the association with complex diseases like Alzheimer's Disease (AD). The PGS Catalog is a valuable repository of PGSs of various complex diseases, but it lacks standardized annotations and harmonization, making the information difficult to integrate for a specific disease.

Methods: In this study, we curated 44 PGS datasets for AD from the PGS Catalog, categorized them into five methodological groups, and annotated 813,257 variants to nearby genes. We aligned the scores based on the "GWAS significant variants" (GWAS-SV) method with the GWAS Catalog and flagged redundant files and …

Investigating The Impact Of Social Determinants Of Health On Diagnostic Delays And Access To Antifibrotic Treatment In Idiopathic Pulmonary Fibrosis, Rui Li, Qiuhao Lu, Andrew Wen, Jinlian Wang, Sunyang Fu, Xiaoyang Ruan, Liwei Wang, Hongfang Liu

Faculty, Staff and Student Publications

Idiopathic pulmonary fibrosis (IPF) is a rare disease that is challenging to diagnose. Patients with IPF often spend years awaiting a diagnosis after the onset of initial respiratory symptoms, and only a small percentage receive antifibrotic treatment. In this study, we examine the associations between social determinants of health (SDoH) and two critical factors: time to IPF diagnosis following the onset of initial respiratory symptoms, and whether the patient receives antifibrotic treatment. To approximate individual SDoH characteristics, we extract demographic-specific averages from zip code-level data using the American Community Survey (via the U.S. Census Bureau API). Two classification models are …

Lp-118 Is A Novel B-Cell Lymphoma 2 / Extra-Large Inhibitor That Demonstrates Efficacy In Models Of Venetoclaxresistant Chronic Lymphocytic Leukemia, Janani Ravikrishnan, Daisy Y Diaz-Rohena, Elizabeth Muhowski, Xiaokui Mo, Tzung-Huei Lai, Shrilekha Misra, Charmelle D Williams, John Sanchez, Andrew Mitchell, Suresh Satpati, Elizabeth Perry, Tierney Kaufman, Chaomei Liu, Arletta Lozanski, Gerard Lozanski, Kerrya Rogers, Adam S Kittai, Seema A Bhat, Mary C Collins, Matthew S Davids, Nitin Jain, William G Wierda, Rosa Lapalombella, John C Byrd, Fenlai Tan, Yi Chen, Yu Chen, Yue Shen, Stephen P Anthony, Jennifer A Woyach, Deepa Sampath

Faculty, Staff and Student Publications

Patients with chronic lymphocytic leukemia (CLL) respond well to initial treatment with the B-cell lymphoma 2 (BCL2) inhibitor venetoclax. Upon relapse, they often retain sensitivity to BCL2 targeting, but durability of response remains a concern. We hypothesize that targeting both BCL2 and B-cell lymphoma-extra large (BCLXL) will be a successful strategy to treat CLL, including for patients who relapse on venetoclax. To test this hypothesis, we conducted a pre-clinical investigation of LP-118, a highly potent inhibitor of BCL2 with moderate BCLXL inhibition to minimize platelet toxicity. This study demonstrated that LP-118 induces efficient BAK activation, cytochrome C release, and apoptosis …

Optimal Timing Of Organs-At-Risk-Sparing Adaptive Radiation Therapy For Head-And-Neck Cancer Under Re-Planning Resource Constraints, Fatemeh Nosrat, Cem Dede, Lucas B Mccullum, Raul Garcia, Abdallah S R Mohamed, Jacob G Scott, James E Bates, Brigid A Mcdonald, Kareem A Wahid, Mohamed A Naser, Renjie He, Aysenur Karagoz, Amy C Moreno, Lisanne V Van Dijk, Kristy K Brock, Jolien Heukelom, Seyedmohammadhossein Hosseinian, Mehdi Hemmati, Andrew J Schaefer, Clifton D Fuller

Faculty, Staff and Student Publications

Background and purpose: Prior work on adaptive organ-at-risk (OAR)-sparing radiation therapy has typically reported outcomes based on fixed-number or fixed-interval re-planning, which represent one-size-fits-all approaches and do not account for the variable progression of individual patients' toxicities. The purpose of this study was to determine the personalized optimal timing of re-planning in adaptive OAR-sparing radiation therapy, considering limited re-planning resources, for patients with head and neck cancer (HNC).

Materials and methods: A novel Markov decision process (MDP) model was developed to determine optimal timing of re-planning based on the patient's expected toxicity, characterized by normal tissue complication probability (NTCP), for …

Land, Labor, Legacy: Historic Family Farms In Licking County Journalistic Analysis Of Rural Heritage Through Historic Family Farms, Delaney Susan Brown

Student Scholarship

No abstract provided.

Intersecting Inequities: How Rurality And Socioeconomic Disadvantage Amplify Cancer Disparities In Ohio, Jessica Zittel, Jason Chen

Student Scholarship

No abstract provided.