Digital Commons Network^™

Artificial Intelligence (Ai) In Pharmacy, Giang Nguyen, Elizabeth Sartschev, John Reyes, Allie Honigford, Marisa Petrunich, Kiley Devoll, Brianna Lu, Joshua Honaker, T'Bony M. Jewell

Pharmacy and Wellness Review

Artificial Intelligence (AI) has transformed the pharmaceutical field by enabling computer software systems to learn and perform human behavior. Specifically, AI has revolutionized chronic diabetes management through continuous glucose monitoring, showcasing its immense potential in healthcare. However, alongside its transformative impact, AI’s increasing role in healthcare has prompted concerns over privacy and its premature integration. Despite these challenges, AI offers limitless opportunities to improve medication management and treatment regimens, driving advancements across various domains. From improving CT imaging to enhancing adenoma detection in colonoscopies and facilitating medication adherence, AI’s impact on healthcare is profound. Furthermore, AI plays a pivotal role …

Evaluating Maternal Drug Use Disparities, Risk Factors And Outcomes In Northeast Arkansas: A Pre, During, And Post-Covid-19 Pandemic Analysis., Enrique Gomez Pomar, Johnna Berryhill, Sudeepa Bhattacharyya

Pediatrics Faculty Publications

INTRODUCTION: The use of addictive substances remains a major health problem in the U.S. An increase in drug overdose and mortality was observed during the COVID-19 pandemic, especially in underserved populations. This surge also impacted pregnant women especially with the use of marijuana (THC) and opioids.

METHODS: Retrospective study analyzing mother-infant dyads with reported Meconium Drug Screen (MDS) results, from January 2018 through April 2023 at a reference hospital serving an urban and rural area of Arkansas. Due to the absence of universal screening, the prevalence of drug use was variable during the study period. An adjusted monthly positive rate …

Inclusive Space For Everyone Door Sign (Printable 8.5 X 11 Inch), Joan H. Robinson

Open Educational Resources

This is a printable 8.5 x 11 inch door sign for faculty, staff, and administrators to let people know it is an inclusive space for everyone. For improved visibility, print with a color printer and cut along the dotted line.

See also: 11 x 17 inch door sign.

Differentiating Between Renal Medullary And Clear Cell Renal Carcinoma With A Machine Learning Radiomics Approach, Rahim Jiwani, Koustav Pal, Iwan Paolucci, Bruno Odisio, Kristy Brock, Nizar M Tannir, Daniel D Shapiro, Pavlos Msaouel, Rahul A Sheth

Faculty, Staff and Student Publications

Background: The objective of this study was to develop and validate a radiomics-based machine learning (ML) model to differentiate between renal medullary carcinoma (RMC) and clear cell renal carcinoma (ccRCC).

Methods: This retrospective Institutional Review Board -approved study analyzed CT images and clinical data from patients with RMC (n = 87) and ccRCC (n = 93). Patients without contrast-enhanced CT scans obtained before nephrectomy were excluded. A standard volumetric software package (MIM 7.1.4, MIM Software Inc.) was used for contouring, after which 949 radiomics features were extracted with PyRadiomics 3.1.0. Radiomics analysis was then performed with RadAR for differential radiomics …

Comparing In-Person, Standard Telehealth, And Remote Musculoskeletal Examination With A Novel Augmented Reality Exercise Game System: Pilot Cross-Sectional Comparison Study, Richard Wu, Keerthana Chakka, Sara Belko, Ninad Khargonkar, Kevin Desai, Balakrishnan Prabhakaran, Thiru Annaswamy

SKMC Student Presentations and Publications

BACKGROUND: Current telemedicine technologies are not fully optimized for conducting physical examinations. The Virtual Remote Tele-Physical Examination (VIRTEPEX) system, a novel proprietary technology platform using a Microsoft Kinect-based augmented reality game system to track motion and estimate force, has the potential to assist with conducting asynchronous, remote musculoskeletal examinations.

OBJECTIVE: This pilot study evaluated the feasibility of the VIRTEPEX system as a supplement to telehealth musculoskeletal strength assessments.

METHODS: In this cross-sectional pilot study, 12 study participants with upper extremity pain and/or weakness underwent strength evaluations for four upper extremity movements using in-person, telehealth, VIRTEPEX, and composite (telehealth plus VIRTEPEX) …

Classification Of Schizophrenia, Bipolar Disorder And Major Depressive Disorder With Comorbid Traits And Deep Learning Algorithms, Xiangning Chen, Yimei Lu, Joan Manuel Cue, Mira V Han, Vishwajit L Nimgaonkar, Daniel R Weinberger, Shizhong Han, Zhongming Zhao, Jingchun Chen

Faculty, Staff and Student Publications

Many psychiatric disorders share genetic liabilities, but whether these shared liabilities can be utilized to classify and differentiate psychiatric disorders remains unclear. In this study, we use polygenic risk scores (PRSs) of 42 traits comorbid with schizophrenia (SCZ), bipolar disorder (BIP), and major depressive disorder (MDD) to evaluate their utilities. We found that combining target specific PRS with PRSs of comorbid traits can improve the classification of the target disorders. Importantly, without inclusion of PRSs from targeted disorders, we can still classify SCZ (accuracy 0.710 ± 0.008, AUC 0.789 ± 0.011), BIP (accuracy 0.782 ± 0.006, AUC 0.852 ± 0.004), …

The Misalignment Of Incentives In Academic Publishing And Implications For Journal Reform, Jennifer S Trueblood, David B Allison, Sarahanne M Field, Ayelet Fishbach, Stefan D M Gaillard, Gerd Gigerenzer, William R Holmes, Stephan Lewandowsky, Dora Matzke, Mary C Murphy, Sebastian Musslick, Vencislav Popov, Adina L Roskies, Judith Ter Schure, Andrei R Teodorescu

Children’s Nutrition Research Center Staff Publications

For most researchers, academic publishing serves two goals that are often misaligned-knowledge dissemination and establishing scientific credentials. While both goals can encourage research with significant depth and scope, the latter can also pressure scholars to maximize publication metrics. Commercial publishing companies have capitalized on the centrality of publishing to the scientific enterprises of knowledge dissemination and academic recognition to extract large profits from academia by leveraging unpaid services from reviewers, creating financial barriers to research dissemination, and imposing substantial fees for open access. We present a set of perspectives exploring alternative models for communicating and disseminating scientific research. Acknowledging that …

The Role Of Molecular Profiling In De-Escalation Of Toxic Therapy In Breast Cancer, Sonia Y. Khan, Tonjeh Bah, Rakhshanda Layeequr Rahman

School of Medicine Publications

The prevalence and mortality associated with breast cancer have forced healthcare providers to leverage surgery, chemotherapy, radiation therapy, and immunotherapy to achieve a cure. Whereas mortality has significantly dropped over the decades, long-term toxicities and healthcare costs are prohibitive. Therefore, a better understanding of tumor biology through molecular profiling is being utilized for de-escalation of treatment where appropriate. As research evolves, there is growing evidence that less aggressive treatment regimens, when appropriately tailored, can be equally effective for certain patient populations. This approach not only enhances the quality of life for patients by reducing the financial, physical, and emotional burdens …

Theranostic Nanoemulsions Suppress Macrophage-Mediated Acute Inflammation In Rats, Riddhi Vichare, Yalcin Kulahci, Rebecca Mccallin, Fatih Zor, Fatma Nurefsan Selek, Lu Liu, Caitlin Crelli, Anneliese Troidle, Michele Herneisey, James M Nichols, Andrew J Shepherd, Vijay S Gorantla, Jelena M Janjic

Faculty, Staff and Student Publications

In inflammatory diseases or following an injury, dysregulated inflammation is a common driver of pain and tissue damage. Macrophages are immune cells that contribute to the initiation, maintenance, and resolution of inflammation due to their phenotypic plasticity in response to signals from inflammatory microenvironments. Macrophages infiltrate and polarize toward a pro-inflammatory phenotype (M

Summer Research Internship Curriculum To Promote Self-Efficacy, Researcher Identity, And Peer-To-Peer Learning: Retrospective Cohort Study, Yulia A Levites Strekalova, Rachel Liu-Galvin, Samuel Border, Sara Midence, Mishal Khan, Maya Vanzanten, John Tomaszewski, Sanjay Jain, Pinaki Sarder

2020-Current year OA Pubs

BACKGROUND: Common barriers to students' persistence in research include experiencing feelings of exclusion and a lack of belonging, difficulties developing a robust researcher identity, perceptions of racial and social stigma directed toward them, and perceived gaps in research skills, which are particularly pronounced among trainees from groups traditionally underrepresented in research. To address these known barriers, summer research programs have been shown to increase the participation and retention of undergraduate students in research. However, previous programs have focused predominantly on technical knowledge and skills, without integrating an academic enrichment curriculum that promotes professional development by improving students' academic and research …

Blended Learning Course In Medical Affairs To Improve Exposure And Interest In Pharmaceutical Industry Careers, Nandini Manne, Gayle Brazeau, Craig Kimble

Pharmacy Practice & Administration

Objective: This study aimed to evaluate students’ knowledge and perceptions of career options and their knowledge of the pharmaceutical industry based on pre-post module quizzes, reflections, and team presentations in a hybrid medical affairs elective certification course.

Methods: A qualitative research design was used to analyze the reflections of 19 students enrolled in the Accreditation Council for Medical Affairs Pharmaceutical Industry Training Certificate elective at Marshall University during spring 2023. The course used 7 modules from the Medical Affairs Competency Certificate offered by the Accreditation Council for Medical Affairs. Students completed premodule and postmodule quizzes, engaged in discussions with industry …

Nursing Students’ Perceptions And Use Of Generative Artificial Intelligence In Nursing Education, Shinhi Han, Hee Sun Kang, Philip J. Gimber, Sunghyun Lim

Publications and Research

Background/Objectives: Artificial intelligence (AI) is transforming nursing, with generative AI (GenAI) tools such as ChatGPT offering opportunities to enhance education through personalized learning pathways. This study aimed to explore nursing students’ use of generative artificial intelligence (GenAI) and their perceptions of its use in nursing education, including its advantages, disadvantages, and perceived support needs.

Methods: This study employed an online survey. The participants were 99 undergraduate nursing students in New York City. Data was collected online through self-report measures using semi-structured, open-ended questions. The data was analyzed using content analysis.

Results: Most participants (92%) used GenAI tools to access accurate …

Prospective Observational Study Of Fkrp-Related Limb-Girdle Muscular Dystrophy R9: A Grasp Consortium Study, Lindsay N Alfano, Stephanie Hunn, Conrad C Weihl, Et Al.

2020-Current year OA Pubs

OBJECTIVE: Limb-girdle muscular dystrophy R9 (LGMDR9, formerly known as LGMD2I), caused by variants in the fukutin-related protein (FKRP) gene leads to progressive muscle weakness of the shoulder and pelvic limb-girdles and loss of motor function over time. Clinical management and future trial design are improved by determining which standardized clinical outcome assessments (COA) of function are most appropriate to capture disease presentation and progression, informing endpoint selection and enrollment criteria. The purpose of our study was to evaluate the cross-sectional validity and reliability of clinical outcome assessments in patients with FKRP-related LGMDR9 participating in the Genetic Resolution and Assessments Solving …

Effectiveness Of Postoperative Cephalosporins In Reducing Urinary Tract Infections And Other Parameters Following Transurethral Resection Of The Prostate: A Systematic Review And Meta-Analysis, Wael Hafez, Feras Al-Obeidat, Asrar Rashid, Arun Kumar Venkatachalapathi, Amr Massaod, Ziad Albaha, Samy Kishk, Tesfalidet Emoshe, Samuel Tesfaye Tefera, Ismail A. Ibrahim, Mohammad Alkammar, Gowhar Rashid, Ahmed Fayed, Karim Soliman, Abdulqadir J. Nashwan, Alaaldeen Mohamed, Daniel Simancas-Racines, Ivan Cherrez-Ojeda

All Works

No abstract provided.

Childhood Sexual Trauma, Substance Use, And Antiretroviral Therapy Adherence Among Older Adults Living With Hiv: A Mediational Analysis, Monique J. Brown, Josie Zhang, Prince Nii Ossah Addo, Amandeep Kaur, Daniel Amoatika, Elizabeth L. Crouch Ph.D., Steven A. Cohen

Faculty Publications

Childhood sexual abuse (CSA) is linked to substance use and lower antiretroviral therapy (ART) adherence. However, studies examining the mediational role of substance use between CSA and ART adherence are lacking. Therefore, the aim of this study was to determine the potential mediational role of substance use between CSA and ART adherence among older adults living with HIV (OALH) (n = 91). Mediation analyses assessed the direct and indirect relationships between CSA, substance use, and ART adherence. Statistically significant differences existed in substance use by gender (male vs. female: 12.3 vs. 9.97) and ART adherence by race (Black vs. …

Vaxbot-Hpv: A Gpt-Based Chatbot For Answering Hpv Vaccine-Related Questions, Yiming Li, Jianfu Li, Manqi Li, Evan Yu, Danniel Rhee, Muhammad Amith, Lu Tang, Lara S Savas, Licong Cui, Cui Tao

Faculty, Staff and Student Publications

OBJECTIVE: Human Papillomavirus (HPV) vaccine is an effective measure to prevent and control the diseases caused by HPV. However, widespread misinformation and vaccine hesitancy remain significant barriers to its uptake. This study focuses on the development of VaxBot-HPV, a chatbot aimed at improving health literacy and promoting vaccination uptake by providing information and answering questions about the HPV vaccine.

METHODS: We constructed the knowledge base (KB) for VaxBot-HPV, which consists of 451 documents from biomedical literature and web sources on the HPV vaccine. We extracted 202 question-answer pairs from the KB and 39 questions generated by GPT-4 for training and …

Developing A High-Performing Network Computation Of Big Bipartite Network Data Toward Alcohol Use Disorder Treatment Referrals, Muhammad Tuan Amith, Sharon Andrews, Angela Heads, Bruno Kluwe-Schiavon, Atchyutha Choday, Ramya Poonam, Sai Venkat Ballem, Cui Tao, Jane Hamilton

Faculty, Staff and Student Publications

Electronic health care records offer big data to mine and analyze towards improving public health outcomes. The information extracted, specifically social network data, could help us understand the primary care referrals for patients experiencing alcohol use disorder and wield that knowledge to better inform the engagement of this patient population. Network exposure and affiliation exposure models are two metrics that can be utilized to analyze the influence of social networks. We developed a core software library that address the scalability issue of our previous work. Our library computed high volume, randomly generated network graphs that range from 500–10,000 nodes (~126,000–40 …

Sex-Specific And Regional Analysis Of Heart Disease Prediction Using Machine Learning Algorithms: Insights From The Uc Irvine Public Heart Disease Datasets (Cleveland And Long Beach), Jonathan Asanjarani

Dissertations, Theses, and Capstone Projects

For this capstone project, I investigated how well machine learning models can predict heart disease, while also studying how the patient’s gender affects these predictions, as well as determining how well the same model performs across different regions. This project utilizes two clinical datasets from the publicly accessible UCI Machine Learning Repository under the collection "Heart Disease." This repository is composed of data from patients across four distinct locations, capturing varying levels of heart disease severity. These datasets are part of a collection of databases, open to the public, and can be used by anyone looking to conduct empirical analysis. …

Forearm Versus Upper Arm Location Of Arteriovenous Access Used At Hemodialysis Initiation: Temporal Trends And Racial Disparities, Melandrea L Worsley, Jingbo Niu, Kevin F Erickson, Neal R Barshes, Wolfgang C Winkelmayer, L Parker Gregg

Faculty, Staff and Students Publications

Rationale & objective: Race and ethnicity differences exist in the type of arteriovenous access (AVA, including fistulas and grafts) used at hemodialysis (HD) initiation. The preferred anatomic location for the creation of an initial HD AVA is typically in the forearm We evaluated race and ethnicity differences in the use of an AVA in the forearm location at HD initiation.

Study design: Retrospective cohort study.

Setting & participants: Using records from DaVita Kidney Care linked to the US Renal Data System (USRDS), we evaluated patients aged≥16 years who initiated in-center HD with an AVA between 2006 and 2019.

Predictor: Race …

Testosterone Modulation Of Muscle Transcriptomic Profile During Lifestyle Therapy In Older Men With Obesity And Hypogonadism, Viola Viola, Tagari Samanta, Maria Liza Duremdes Nava, Alessandra Celli, Reina Armamento-Villareal, Ngoc Ho Lam Nguyen, Georgia Colleluori, Yoann Barnouin, Nicola Napoli, Clifford Qualls, Benny Abraham Kaipparettu, Dennis T Villareal

Faculty, Staff and Students Publications

Background: Testosterone replacement therapy (TRT) added to lifestyle therapy can mitigate weight-loss-induced reduction of muscle mass and bone mineral density (BMD) in older men with obesity and hypogonadism.

Objective: To investigate the molecular mechanisms underlying the attenuation of muscle and BMD loss in response to TRT during intensive lifestyle intervention in this high-risk older population.

Methods: Among 83 older (≥ 65 years) men with obesity (BMI ≥ 30 kg/m2) and hypogonadism (early AM testosterone persistently < 300 ng/dL) associated with frailty (Modified Physical Performance Test score ≤ 31) randomized into 26-week lifestyle therapy plus testosterone (LT+TRT) or placebo (LT+Pbo) in the LITROS trial, 38 underwent serial muscle biopsies for the muscle transcriptomics substudy.

Results: Despite similar ~10% weight loss, lean body mass and thigh muscle volume decreased less in LT+TRT than LT+Pbo (-2% vs. -4%, respectively; p = …

Immunogenomic Determinants Of Exceptional Response To Immune Checkpoint Inhibition In Renal Cell Carcinoma, Tejas Jammihal, Renee Maria Saliby, Chris Labaki, Hanna Soulati, Juan Gallegos, Arnau Peris, Dustin Mccurry, Chunlei Yu, Valisha Shah, Deepak Poduval, Talal El Zarif, Nourhan El Ahmar, Yasmin Nabil Laimon, Marc Eid, Aseman Bagheri Sheshdeh, Katherine M Krajewski, Florian A Büttner, Matthias Schwab, Daniel Heng, Rafael C Casellas, Kunal Rai, Niki M Zacharias Millward, Pavlos Msaouel, Jose Karam, Sabina Signoretti, Eliezer Van Allen, Toni K Choueiri, David A Braun, Sachet A Shukla

Faculty, Staff and Student Publications

Immune checkpoint inhibitors can lead to 'exceptional', durable responses in a subset of persons. However, the molecular basis of exceptional response (ER) to immunotherapy in metastatic clear cell renal cell carcinoma (mccRCC) has not been well characterized. Here we analyzed pretherapy genomic and transcriptomic data in treatment-naive persons with mccRCC treated with standard-of-care immunotherapies: (1) combination of programmed cell death protein and ligand 1 (PD1/PDL1) and cytotoxic T lymphocyte-associated protein 4 inhibitors (IO/IO) or (2) combination of PD1/PDL1 and vascular endothelial growth factor (VEGF) receptor inhibitors (IO/VEGF). In the IO/IO cohort, clonal neoantigen load was significantly higher in persons with …

Open-Chest Cardiac Ultrasound-Mediated Imaging With A Vacuum Coupler, Nilesh Mathuria, Krithik Vishwanath, Giorgio Brero, Blake C Fallon, Antonio Martino, Richard C Willson, Carly S Filgueira, Richard R Bouchard

Faculty, Staff and Student Publications

BACKGROUND: A fundamental obstacle for the preclinical development of ultrasound-(US) mediated cardiac imaging remains cardiac motion, which limits interframe correlation during extended acquisition periods.

PURPOSE: To address this need, we present the design and implementation of a 3D-printed vacuum coupler that stabilizes a US transducer on the epicardial surface of the heart for feasibility assessment and development of advanced, cardiac, US-mediated imaging approaches.

METHODS: The vacuum coupler was 3D printed with biocompatible resins and secured with a standard intraoperative suction aspirator. US-mediated imaging (i.e., B-mode and photoacoustic [PA] imaging) was performed in an open-chest porcine model with and without the …

Performance Comparison Of 10 State-Of-The-Art Machine Learning Algorithms For Outcome Prediction Modeling Of Radiation-Induced Toxicity, Ramon M Salazar, Saurabh S Nair, Alexandra O Leone, Ting Xu, Raymond P Mumme, Jack D Duryea, Brian De, Kelsey L Corrigan, Michael K Rooney, Matthew S Ning, Prajnan Das, Emma B Holliday, Zhongxing Liao, Laurence E Court, Joshua S Niedzielski

Faculty, Staff and Student Publications

Purpose: To evaluate the efficacy of prominent machine learning algorithms in predicting normal tissue complication probability using clinical data obtained from 2 distinct disease sites and to create a software tool that facilitates the automatic determination of the optimal algorithm to model any given labeled data set.

Methods and materials: We obtained 3 sets of radiation toxicity data (478 patients) from our clinic: gastrointestinal toxicity, radiation pneumonitis, and radiation esophagitis. These data comprised clinicopathological and dosimetric information for patients diagnosed with non-small cell lung cancer and anal squamous cell carcinoma. Each data set was modeled using 11 commonly employed machine …

A Statistical Framework For Multi-Trait Rare Variant Analysis In Large-Scale Whole-Genome Sequencing Studies, Xihao Li, Han Chen, Margaret Sunitha Selvaraj, Eric Van Buren, Hufeng Zhou, Yuxuan Wang, Ryan Sun, Zachary R Mccaw, Zhi Yu, Min-Zhi Jiang, Daniel Dicorpo, Sheila M Gaynor, Rounak Dey, Donna K Arnett, Emelia J Benjamin, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, April P Carson, Jenna C Carlson, Nathalie Chami, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Myriam Fornage, Nora Franceschini, Barry I Freedman, Charles Gu, Nancy L Heard-Costa, Jiang He, Lifang Hou, Yi-Jen Hung, Marguerite R Irvin, Robert C Kaplan, Sharon L R Kardia, Tanika N Kelly, Iain Konigsberg, Charles Kooperberg, Brian G Kral, Changwei Li, Yun Li, Honghuang Lin, Ching-Ti Liu, Ruth J F Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Kari E North, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Susan Redline, Alexander P Reiner, Stephen S Rich, Colleen M Sitlani, Jennifer A Smith, Kent D Taylor, Hemant K Tiwari, Ramachandran S Vasan, Satupa'itea Viali, Zhe Wang, Jennifer Wessel, Lisa R Yanek, Bing Yu, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Josée Dupuis, James B Meigs, Paul L Auer, Laura M Raffield, Alisa K Manning, Kenneth M Rice, Jerome I Rotter, Gina M Peloso, Pradeep Natarajan, Zilin Li, Zhonghua Liu, Xihong Lin

Faculty, Staff and Student Publications

Large-scale whole-genome sequencing (WGS) studies have improved our understanding of the contributions of coding and noncoding rare variants to complex human traits. Leveraging association effect sizes across multiple traits in WGS rare variant association analysis can improve statistical power over single-trait analysis, and also detect pleiotropic genes and regions. Existing multi-trait methods have limited ability to perform rare variant analysis of large-scale WGS data. We propose MultiSTAAR, a statistical framework and computationally scalable analytical pipeline for functionally informed multi-trait rare variant analysis in large-scale WGS studies. MultiSTAAR accounts for relatedness, population structure and correlation among phenotypes by jointly analyzing multiple …

The Dynamics Of Tubulogenesis In Development And Disease, Adrian Romero, Brandy L Walker, Vanja Krneta-Stankic, Kamryn Gerner-Mauro, Lydia Youmans, Rachel K Miller

Faculty, Staff and Student Publications

Tubes are crucial for the function of many organs in animals given their fundamental roles in transporting and exchanging substances to maintain homeostasis within an organism. Therefore, the development and maintenance of these tube-like structures within organs is a vital process. Tubes can form in diverse ways, and advances in our understanding of the molecular and cellular mechanisms underpinning these different modes of tubulogenesis have significant impacts in many biological contexts, including development and disease. This Review discusses recent progress in understanding developmental mechanisms underlying tube formation.

What Does Randomization Do?, Michael A. Lewis

Journal of Humanistic Mathematics

In the health and social sciences, when it comes to causal inference, randomized controlled trials (RCTs) are considered the gold standard. The justification for granting RCTs this status is the claim that random allocation to different treatment groups addresses the problem of confounding variables by ensuring that any differences in observed outcomes across treatment groups can be attributed only to differences in treatment. I contend that this is a misunderstanding of what random allocation does and that once we see where this argument goes wrong, it becomes clear that the difference, concerning causal inference, between a single observational study versus …

Pass It Along: Learning About Health Inequities Through Project-Based Learning And A Student-Developed Workshop, Marcy S. Ekanayake-Weber, Deanna Cunha, Kristi L. Fung, Sydney Macgregor, Nicole Ribeiro, Nicholas Smith

International Journal of Transformative Teaching and Learning in Higher Education

People in marginalized communities experience reduced quality of healthcare due to complex interactions between implicit bias, stereotypes, and structural inequities, but future healthcare providers remain unprepared to confront these problems. To address the issue of health inequities in health sciences education, a project-based learning seminar for undergraduates called “Biology of Inequity” was developed and offered by the Department of Anthropology at [redacted] University in Spring semester 2022. Following the project-based learning (PBL) framework, the course was extremely interactive, culminating in a project where students were asked to “materially improve health inequalities out in the real world.” The students responded by …

Occupational Therapy Assistant Preparatory Course To Improve Mock Certification Exam Scores: An Evidenced-Based Intervention, Anderston St. Germain

Journal of Innovation in Health Sciences Education

Abstract

Introduction: The overall goal of educators of occupational therapy is to produce graduates capable of meeting entry-level employment status, which becomes evident when they pass the national certification exam. This evidence-based pilot project investigated an occupational therapy assistant certification exam preparatory course designed to improve mock certification test scores of graduates from an occupational therapy assistant program.

Methods: The project was implemented as a pilot study in the fall of 2017 with six participants. The course was delivered using a face-to-face teaching model and designed based on the most recent evidence from the literature. The course content included …

Medical School Watercooler Newsletter - January 30, 2025, Lindsay Hughes

Watercooler Newsletter

This is the Thursday, January 30, 2025 edition of the Frederick P. Whiddon College of Medicine's newsletter -- Watercooler.

Contents include:

• Spencer named business manager of Whiddon COM
• Pediatrics residents match at their top choices for fellowships
• SciComm bootcamp to focus on transformative communication
• Whiddon COM researchers and high school students land publication in biology journal

Network Analysis Of Headache Diagnoses Using International Classification Of Headache Disorders, 3rd Edition, Pengfei Zhang, Thomas Berk

College of Nursing Faculty Papers & Presentations

BACKGROUND AND OBJECTIVE: The International Classification of Headache Disorders, Third Edition (ICHD-3), significantly influences clinicians' understanding of headache disorders. In this study, we aim to elucidate how the hierarchical structure of ICHD-3 shapes the understanding of interconnectivity among headache disorders.

METHODS: A network comprises elements known as "nodes," with the connections between them referred to as "edges." In our study, a node represents a headache diagnosis that meets at least one ICHD-3 diagnostic criterion of the ICHD-3. We developed two network models for ICHD-3: a non-hierarchical model, where edges are only formed by cross-references found within the text of diagnoses, …