Digital Commons Network^™

Utilizing And Optimizing Forecasting Models For Nursing Demand: A Narrative Review, Kalpana Singh, Liyan Ajit D. Souza, Ananth Nazarene, Amane Mounia, Mahmoud Abdelwahab Khedr, Ahmad Mousa, Rebecca Rejo George, Abdulqadir J. Nahwan

Research outputs 2022 to 2026

Background: Accurately forecasting nursing demand is essential for effective workforce planning in the context of increasing patient volumes and the growing complexity of healthcare systems. Reliable forecasting supports optimal staffing, enhances patient care quality, and reduces operational risks. However, traditional forecasting approaches are increasingly challenged by evolving clinical demands, rising chronic disease burden, and rapid technological advancements. Aim: This narrative review aimed to (1) map existing models used for predicting nursing demand, (2) identify key predictive methodologies, data inputs, and evaluation metrics, and (3) highlight existing gaps and implications for healthcare policy and workforce management. Methods: A comprehensive narrative literature …

Advanced Artificial Intelligence Vs Simpler Models For 1-Year Death Prediction Among Patients Receiving Hemodialysis, Karthikeyan K, Jennifer E Flythe, Patrick H Pun, Wolfgang C Winkelmayer, David Carlson

Faculty, Staff and Students Publications

Objectives: We evaluated the data requirement for modern AI tools to outperform simpler models in predicting short-term mortality in over 500 000 patients with hemodialysis-dependent kidney failure.

Materials and methods: We compared logistic regression, boosting, and transformers using increasingly complex feature sets (from last-visit data to full trajectories). Performance was measured using the area under the ROC curve (AUC-ROC) and the Precision-Recall curve (AUC-PR) across training data sizes ranging from 500 to 490 197 samples.

Results: Using features with temporal information is beneficial across all models. On the full dataset, Transformers (AUC-ROC = 0.8568) and boosting (AUC-ROC = 0.8598) perform …

Fronto-Cerebellar Features Associate With Cognitive Dysfunction In Childhood-Onset Systemic Lupus Erythematosus, Hanne Van Der Heijden, Gabrielle Alonzi, Amanda Cao, Raquel Van Gool, Merve Koç Yekedüz, Lise Vrolix, Itamar Ronen, Vanessa Rameh, Kyle Mcbrearty, Aditi Deokar, Robert P Sundel, Eyal Muscal, Joseph Gonzalez-Heydrich, Andrea Knight, Joyce C Chang, Jaymin Upadhyay

Faculty, Staff and Students Publications

Objective: Cognitive dysfunction (CD) is a prevalent symptom in childhood-onset systemic lupus erythematosus (cSLE). This study aimed to investigate the neurobehavioral basis of CD in cSLE.

Methods: Patients with cSLE (N=20) and age- and sex-matched healthy controls (HCs, N=20) completed questionnaires and multiple neurocognitive tests. The Systemic Lupus Erythematosus Disease Activity Index 2000 and laboratory markers were used to monitor patients' clinical status. Neuroimaging assessments included functional near-infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI), and structural MRI.

Results: cSLE patients demonstrated moderate disease activity with high inflammation and immune dysregulation, alongside low medication adherence. Relative to HCs, cSLE patients …

Perspective In Biomedical Sciences Field: Education And Career, Fitra Adi Prayogo, Mellyaning Oktaviani Sonya Kirana Sari, Isy Royhanaty, Poppy Fansisca Amelia, Heni Wijayanti, Ni Nyoman Maryaningtyas Adinatha, Dyah Wulandari, Anto Budiharjo

Chulalongkorn Medical Journal

Abstract

Background: The biomedical sciences represent a dynamic and multidisciplinary field pivotal to advancing human health through research, education, and innovation.

Objective(s): This review explores the evolving landscape of biomedical education and career pathways, driven by technological advancements, interdisciplinary integration, and global health demands.

Methods: We examine the distinctions between biomedical science, biomedicine, and biomedical engineering, highlighting their historical origins and contemporary roles. The education and career trajectories of biomedical laboratory scientists (BLS) are analysed, emphasising diverse competencies, core curricula, and the impact of regional policies on professional qualifications. Emerging trends and ethical/regulatory challenges are discussed.

Result(s): Key trends include …

Campak Dan Vaksinasi Campak Pada Orang Dewasa, Robert Sinto, Sukamto Koesnoe, Erni Juwita Nelwan, Alvina Widhani, Sharifah Shakinah, Adeline Pasaribu, Bernadine Gracia Duindrahajeng, Suhendro Suwarto, Leonard Nainggolan, Lie Khie Chen, Adityo Susilo, Suzy Maria, Anshari Saifuddin Hasibuan, Bramantya Wicaksana

Jurnal Penyakit Dalam Indonesia

Measles is a highly contagious viral infection that remains a significant global health problem despite the availability of an effective vaccine. Measles re-emergence is driven by gaps in immunization coverage, waning post-vaccination immunity, and increased population mobility. In adults, measles infection is associated with greater disease severity compared to children. This literature review was conducted by reviewing recent scientific publications addressing the epidemiology, pathogenesis, clinical manifestations, diagnosis, management, complications, and prevention of measles, with a focus on the adult population.  Measles is caused by an RNA virus of the Paramyxoviridae family and is transmitted through respiratory droplets and aerosols. Typical …

The Effectiveness Of Psychoeducation And Mind Mapping In Preventing Early Marriages In Central Java, Indonesia, Eviyati Aini Muriana, Mardiyono Mardiyono, Lanny Sunarjo, Melyana Nurul Widyawati

Jurnal Keperawatan Indonesia

During the COVID-19 pandemic, the number of early marriages increased. Early marriage causes biological and psychological problems in the mother and her baby. The combination of psychoeducation and mind mapping emerged as a preventive effort against early marriage. The aim of this study was to analyze the effectiveness of this combination in preventing early marriage in Central Java, Indonesia by influencing adolescents’ knowledge and intentions. This study was conducted using a convergent mixed-methods design. For the quantitative phase, the pre-test – post-test control group experimental design was used, while in the qualitative phase, a thematic analysis was performed using focus …

Improving Pre-Nursing Retention Through Structured Readiness Modules: Development Of The Pre-Nursing Information Hub, Amber M. Carter

Morehead State Theses and Dissertations

A capstone submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the Ernst and Sara Lane Volgenau College of Education at Morehead State University by Amber M. Carter on March 30, 2026.

The Blurred Boundaries Of Care: A Qualitative Analysis Of Nurse-Doula Role Conflict, Curisa Mae Tucker Phd, Rn, Maria Mcclam, Kelly Russin Dnp, Rnc-Ob, Chse, Nansi Boghossian, Rachel Gulczinski, Lauren Workman

Faculty Publications

Introduction:

Methods:

Patterns Of Multimorbidity Among Low-Income Adults Who Smoke With Implications For Tailored Interventions: A Cluster Analysis Using A Mixture Of Bernoulli Model, Monique T. Cano, Michael R. Lindstrom, Oscar F. Rojas Perez, Ricardo F. Muñoz

School of Mathematical & Statistical Sciences Faculty Publications

Introduction: Smoking cigarettes remains a leading modifiable risk factor for preventable health conditions. In the United States, the health burden of smoking disproportionately impacts low-income individuals. Multimorbidity is common in this group, complicating treatment and worsening outcomes. Identifying multimorbidity clusters can support targeted, individualized interventions. This study aimed to identify multimorbidity clusters among individuals who smoke and experience economic hardship and provide clinical recommendations to enhance health outcomes.

Method: Individuals who smoke and experience economic hardship (N = 60) were recruited from the San Francisco Health Network (SFHN) and were assessed for physical and mental conditions. Cluster analysis was …

Design And In Silico Modeling Of Heterocyclic-Based Xanthone Derivatives As Potential Anticancer Agents Through Tyrosine Kinase Inhibition, Yehezkiel Steven Kurniawan, Ervan Yudha, Nela Fatmasari, Radite Yogaswara, Harno Dwi Pranowo, Eti Nurwening Sholikhah, Jumina Jumina

Makara Journal of Science

Cancer is one of the deadliest diseases nowadays, and tyrosine kinase receptors play crucial roles in cancer cell survival, differentiation, proliferation, and migration. This study designed and developed a new inhibitor from heterocyclic-based xanthone derivatives to target two tyrosine kinase receptors, epidermal growth factor receptor (EGFR) and platelet-derived growth factor receptor (PDGFR), through in silico screening. Eighteen heterocyclic-based xanthones were evaluated through molecular docking for both receptors. All heterocyclic-based xanthones gave the root mean square deviation (RMSD) value lower than 2.00 Å. Xanthone with isobenzothiazole substituent (iBzThio) was found as the most potent inhibitor with binding energies of -10.60 and …

Cilia Dynamics In Primary Ciliary Dyskinesia: A Biophysical Characterization Of The Rsph4a Founder Variant, Gabriel Rosario-Ortiz, José Muñiz-Hernández, Natalia M Ortiz-Pérez, Marcos J Ramos-Benitez, Ricardo A Mosquera, Wilfredo De Jesús-Rojas

Faculty, Staff and Student Publications

Primary ciliary dyskinesia (PCD) is a rare ciliopathy resulting in chronic oto-sino-pulmonary disease. PCD diagnosis can be achieved by a combination of different diagnostic and adjuvant tools, including high-speed video-microscopy analysis (HSVA). A founder variant has been described in Puerto Rico as the most common cause of PCD in the island. Background/Objectives: In HSVA, objective parameters such as ciliary beat frequency (CBF) and subjective parameters such as ciliary beat pattern (CBP) shed light on the biophysical properties of cilia. However, the subjective nature of CBP creates a gap in knowledge; characteristics such as the length, angle, and bending index of …

Association Between The Dietary Index For Gut Microbiota (Di-Gm) And Colorectal Cancer In The Plco Cohort, Bezawit E. Kase, Angela D. Liese Ph.D., Jiajia Zhang Ph.D., Elizabeth Angela Murphy, Susan E. Steck Phd, Mph, Rd

Faculty Publications

Objectives: The study aimed to examine the association between a dietary index for gut microbiota (DI-GM) and the risk of incident colorectal cancer (CRC). Clarifying the role of diet-induced alterations in the composition and function of gut microbiota on the development of CRC can contribute to prevention efforts. Methods: Participants from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening trial enrolled in the intervention arm and who completed baseline assessments were included in the analysis (n = 55,685). The DI-GM is a literature-derived index used to score diet quality in terms of maintaining healthy gut microbiota. A time-dependent Cox model …

Association Between The Dietary Index For Gut Microbiota (Di-Gm) And Colorectal Cancer In The Plco Cohort, Bezawit E. Kase, Angela D. Liese, Jiajia Zhang, Elizabeth Angela Murphy, Susan E. Steck

Faculty Publications

Objectives: The study aimed to examine the association between a dietary index for gut microbiota (DI-GM) and the risk of incident colorectal cancer (CRC). Clarifying the role of diet-induced alterations in the composition and function of gut microbiota on the development of CRC can contribute to prevention efforts. Methods: Participants from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening trial enrolled in the intervention arm and who completed baseline assessments were included in the analysis (n = 55,685). The DI-GM is a literature-derived index used to score diet quality in terms of maintaining healthy gut microbiota. A time-dependent Cox model …

Theory, Experiments, And Image Recovery Algorithms For X-Ray Interferometry, Hunter C. Meyer

LSU Doctoral Dissertations

Purpose: X-ray grating interferometry is a form of X-ray phase contrast imaging capable of simultaneously measuring attenuation, differential-phase, and dark-field images arising from X-ray absorption, refraction, and small-angle scattering, respectively. These additional contrast mechanisms have potential clinical and industrial applications, particularly for lung tissue characterization and disease identification. As grating interferometers approach clinical viability, key challenges include reducing X-ray dose, mitigating mechanical instability, and correcting spectral artifacts resulting from beam hardening.

Methods: The modulated phase grating interferometer (MPGI) is a potential solution for reducing X-ray dose by eliminating the analyzer grating used in alternative interferometer designs, including the Talbot-Lau interferometer …

Effective Spectrum-Based Antibiotic Resistance Index For Monitoring Resistance In Gram-Negative Bacilli, M Cristina Vazquez Guillamet, Alice Bewley, Nicole J Tarlton, Reid Goodman, Michael J Durkin, Michael Bernauer, Meghan Brett, Kevin Hsueh, Cristian Bologa, George Turabelidze, Andrew Atkinson, Victoria J Fraser

2020-Current year OA Pubs

BACKGROUND: Antimicrobial resistance (AMR) is a growing public health threat, and we currently lack accurate measures to track and trend this resistance. We developed the antibiotic resistance index (ARI) that aggregates resistance of Gram-negative bacilli (GNB) into a single metric which can be tracked across healthcare settings and over time.

METHODS: Culture data were collected from adult patients who met the CDC adult sepsis event criteria across 10 Barnes-Jewish HealthCare (BJC) hospitals between January 2018 and December 2023. An antibiotic's effective spectrum (AES) was calculated as the ratio of susceptible GNB to all identified GNB. The ARI was calculated as …

Interview With Orca Award Winner David Hage, Unl Chemistry; Drug-Protein Interactions, Mark Griep, David Hage

UNL ORCA Interview Series

Prof. David Hage was awarded the ORCA in 2018. He was born in La Crosse, Wisconsin, and earned a bachelor’s in chemistry at the University of Wisconsin in La Crosse. Next, he earned a doctorate from Iowa State University and did postdoctoral work at the Mayo Clinic in Rochester, Minnesota. In 1989, he joined UNL as an assistant professor of chemistry and quickly rose through the ranks. He has won many awards and, for the past 13 years, has been the James Hewet University Professor of Chemistry. Allow me to share some remarkable facts about Dave before we get into …

Investigation Of Molecular Footprints In Ultra-High Diluted Homoeopathic Solutions Of Arnica Montana And Rhus Toxicodendron Through Combined Infrared And Impedance Spectroscopy, Sharbadeb Kundu, Usha Rani Dash, Chirasree Roychaudhuri, Aindrila Roy, Sanatan Chattopadhyay, Rathin Chakravarty, Debadatta Nayak, Subhash Kaushik, Amit Roy Chowdhury, Ananya Barui, Subhadip Chakraborty

Indian Journal of Research in Homoeopathy

Background: The study of ultra-high diluted (UHD) solutions is a compelling and controversial domain in modern science. Despite numerous investigations and hypotheses, there is a lack of rigorous, reproducible empirical evidence supporting the existence of molecular footprints beyond the Avogadro's limit. Objective: This study conducted a detailed investigation of the molecular and electrical properties, focusing on hydrogen bonding and impedance to understand the fundamental nature of UHD solutions. Materials and methods: Combined impedance and infrared spectroscopic investigations were performed to probe the structural behaviour of relevant water networks at the molecular level of UHD alcoholic extract of Arnica montana (AM) …

What Does Next-Generation Mass Spectrometry Offer For Proteomics? A Comprehensive Platform Comparison, Filipa Blasco Tavares Pereira Lopes, Daniela Schlatzer, Tara Sudhadevi, Anantha Harijith, Marzieh Ayati, Mehmet Koyutürk, Mark R. Chance

Computer Science Faculty Publications

Next-generation mass spectrometry platforms (Orbitrap Astral, timsTOF Ultra) are reshaping proteomics by enhancing analytical depth and sensitivity. We compared these platforms against Orbitrap Exploris 480 using neonatal mouse lung tissues from a bronchopulmonary dysplasia model (n = 12), employing four acquisition strategies: Exploris 480 DDA/DIA, Astral HR-DIA, and timsTOF Ultra DIA-PASEF. All platforms identified ∼4000 proteins in common, with 98% proteome coverage of data-dependent acquisition (DDA) identifications using data-independent (DIA) methods and 92% concordance between next-generation systems. Orbitrap Astral and timsTOF Ultra quantified >225,000 peptides and 13,000 proteins, representing ∼800% and ∼300% greater depth than Exploris 480 DDA, respectively. …

Multi-Modal Tensor Fusion For Alzheimer’S Disease Recognition, Mason Li, Tiffany Le, Jiajing Huang, Yuxin Wen

Engineering Faculty Articles and Research

Accurate and early diagnosis of Alzheimer’s disease (AD) is critical for effective intervention, disease monitoring, and patient care. Traditional diagnostic approaches rely on a single modality, such as clinical assessments, neuroimaging, or genetic markers, which may fail to capture the complex, multifaceted nature of AD. Multimodal learning has therefore been explored to integrate complementary information across data sources. However, conventional fusion strategies, including early feature concatenation and late decision-level fusion, often model modalities independently and fail to capture high-order cross-modal interactions. To address these limitations, we propose a multimodal tensor fusion network (MTFN) that integrates heterogeneous data sources, including visual …

Parents Engaging In Early Literacy (Peel): Outcomes From A Shared Reading Program Implemented Via Text Messaging, Victoria Henbest, Brenda L. Beverly, Gina M. Mejia

Victoria S. Henbest Publications

Purpose: Investigators delivered an asynchronous parent education for improving early literacy skills of typically developing preschoolers. The home-based shared-book reading program, PEEL, consisted of strategies modeled via videos and sent as text messages.

Method: Twenty parent-child dyads were randomly assigned to one of two 8-week programs targeting evidence-based early literacy strategies. One parent group was taught strategies to support print-related knowledge for learning to read, and the other learned skills to promote vocabulary and story knowledge underlying comprehension.

Results: The asynchronous parent education resulted in more frequent parental use of taught strategies compared to non-taught strategies during …

Optimization Of Solvent Extraction For Polyphenols And Antioxidant Activity From Zanthoxylum Acanthopodium Leaves Using Simplex Centroid Design, Waras Nurcholis, Indah Z. Septiawati, Roni Kartiman, Surya Diantina

The Thai Journal of Pharmaceutical Sciences

Background: Zanthoxylum acanthopodium DC., locally known as andaliman, is an indigenous spice from North Sumatra, Indonesia, recognized for its high antioxidant potential. Despite its bioactive richness, optimization of solvent extraction for phenolic and flavonoid compounds from its leaves remains underexplored, even though these compounds are valuable for food and pharmaceutical applications. The use of solvents such as acetone in analytical extraction contexts is acceptable; however, further purification steps would be required for applications in food and pharmaceutical products.
Objectives: The main objective of this study was to optimize solvent combinations – comprising water, ethanol, and acetone – to maximize the …

Development Of Aqueous Dispersions Of Zein–Inulin Nanoparticles: Influence Of Formulation Variables On Physical Properties, Wanarat Sayamol, Supakarn Chamni, Jittima Chatchawalsaisin

The Thai Journal of Pharmaceutical Sciences

Background: Zein-based nanoparticles exhibit considerable potential for pharmaceutical and food applications. Incorporating inulin, a prebiotic polysaccharide, can improve their functional performance. Owing to the distinct solubilities of zein and inulin in aqueous ethanol, zein– inulin nanoparticles can be prepared through precipitation using their respective anti-solvents.
Objectives: This study aimed to systematically develop zein–inulin nanoparticles using the antisolvent precipitation method, with a focus on investigating the effects of formulation variables on particle characteristics and dispersion properties.
Materials and Methods: Zein–inulin nanoparticles were prepared using an anti-solvent precipitation method. Zein and inulin were separately dissolved in aqueous ethanol and water, respectively. The …

Best Integrated Writing Spring 2026 - Complete Edition, Wright State University School Of Humanities And Cultural Studies, Tracy Smith, Kristie Mckiernan

Best Integrated Writing

Best Integrated Writing includes excellent student writing from Integrated Writing courses taught at Wright State University.

Psychology: Examining The Relationship Between Temperature Discrepancy And Reaction Speed, Jessica Berber, Yatri Patel, Yara Ali, Rileigh Schumacher

SPARK Symposium Presentations

Our study examines the interaction of temperature discrepancies and reaction speed in college students. Previous research suggests that temperature influences reaction time, with colder conditions generally slowing responses. However, comparatively little research has explored the effects of warmer temperatures on reaction speed. Therefore, the purpose of our study is to examine the relationship between temperature variation and reaction speed in college students. Participants will be recruited through word of mouth and the SONA pool. The SONA pool is used to recruit participants for studies, and they can sign up to fulfill course requirements or earn extra credit. In the Qualtrics …

The Epigenetic Effects Of Prenatal Diabetes On The Developing Vascular System- A Gsea Analysis, Daniel I. Telles Orellana

SPARK Symposium Presentations

Prenatal diabetes is a critical medical condition that extensively affects neonatal patients and their families. Numerous previous studies have suggested impairments in vascular development, size, and diversification; however, the molecular and gene regulatory mechanisms underlying these effects remain poorly understood. Understanding these mechanisms is essential for identifying potential therapeutic targets and improving treatment strategies. This study combined experimental zebrafish phenotypic analysis with re-analysis of publicly available RNA-seq data to investigate the effects of elevated glucose on embryonic vascular development. Zebrafish (Danio rerio) embryos were exposed to increasing glucose concentrations (1–3%) during early developmental stages. High glucose exposure showed …

Dietary Inflammatory Index And Objective Disease Activity In Ibd: No Association Found, Rúbia Moresi Vianna De Oliveira, Ana Carolina Junqueira Vasques, Stefhani Andrioli Romero, Nitin Shivappa Mbbs, Mph, Ph.D., Michael David Wirth, James Hébert Scd, Glaucia Fernanda Soares Ruppert Reis, Cristiane Kibune Nagasako

Faculty Publications

Background

Inflammatory Bowel Disease (IBD) involves genetic and environmental factors, but the relationship between disease activity, adiposity, and diet remains unclear.

Objective

To investigate the association between endoscopic/radiological activity of IBD, body adiposity, and the Dietary Inflammatory Index with or without adjustment for energy density (E-DII or DII).

Method

An observational, cross-sectional study was carried out. Endoscopic activity was defined by an endoscopic Mayo score >2, Crohn’s Disease Endoscopic Index of Severity (CDEIS) > 5, and/or the presence of a deep ulcer in any intestinal segment. Body adiposity was estimated using the body mass index, waist circumference, and waist-hip ratio (WHR). …

Circulating Levels Of Insulin-Like Growth Factor I (Igf-I) And Risk Of Multiple Myeloma: An Observational And Mendelian Randomisation Study, Yolanda Benavente, Sara Hermosa, Nikos Papadimitriou, Alyssa I. Clay-Gilmour Ph.D., Elizabeth E. Brown, Jonathan N. Hofmann, Nathaniel Rothman, Qin Lan, Sonja I. Berndt, Demetrius Albanes, Mark Purdue, Mitchell J. Machiela, Stephen J. Chanock, Parveen Bhatti, Wendy Cozen, Aaron Norman, Susan L. Slager, James R. Cerhan, Vincent Rajkumar, Et. Al.

Faculty Publications

No abstract provided.

Assessment Of Early Breast Cancer Response To Chemotherapy With Ultrasound Radiomics, Swapnil Dolui, Basak Dogan, Corinne Wessner, Jessica Porembka, Priscilla Machado, Bersu Ozcan, Nisha Unni, Maysa Abu-Khalaf, Flemming Forsberg, Kibo Nam, Kenneth Hoyt

Department of Medical Oncology Faculty Papers

Objective: This prospective study investigated the use of H-scan ultrasound (US) imaging as a novel component of a multiparametric radiomic analysis framework for characterizing human breast cancer response to neoadjuvant chemotherapy (NAC) before and early after treatment initiation. Methods: Thirty breast cancer patients scheduled for NAC were scanned using a clinical US system (Logiq E9, GE HealthCare) equipped with a 9L-D linear array transducer. Radiofrequency (RF) data was obtained at baseline (pre-NAC) and after 10% and 30% of the complete dose of chemotherapy. The RF data was analyzed by a bank of 256 frequency-shifted bandpass filters to form H-scan US …

Aquifer Characteristics And Groundwater Flow Modeling For Sustainable Water Resources Development And Planning Using Modflow Software In India, Ravi Sharma

AUIQ Complementary Biological System

MODFLOW is one of the most commonly used numerical models for simulating groundwater flow. Its structured data design and compatibility with GIS tools make it suitable for groundwater assessment and planning. Groundwater forms an important part of the hydrological cycle and occurs within the pore spaces of sedimentary rocks or within fractures in hard rock terrains. Although its distribution beneath the surface is not always uniform or predictable, it is still considered one of the cleanest, most accessible, and quickly available freshwater sources. Numerical groundwater models help convert complex subsurface processes into simplified relationships that describe flow behavior. Even though …

Contribution Of G4 Structure To Alzheimer’S Disease And Tau Pathology, Lena Michaela Kallweit

Electronic Theses and Dissertations

The occurrence of Alzheimer’s Disease (AD) is rapidly increasing as our global population ages. With the majority of therapeutic drugs in the last couple of decades failing clinical trials, new molecular targets are needed to combat the expected influx of new AD cases. AD pathogenesis is associated with abnormal protein aggregation, characterized in part by intracellular accumulation of hyperphosphorylated tau (p-tau) in neurofibrillary tangles (NFTs). RNA has been identified as a major non-proteinaceous component of NFTs and has been implicated as an active cofactor in tau aggregation and spread. Recent work has shown that aggregates from AD brains contain almost …