Medicine and Health Sciences Commons^™

Counselor-In-Training Perceptions Of Artificial Intelligence: Implications For Counselor Education, Leo Gonzalez Jr., Deija Mccalla

Journal of Counselor Preparation and Supervision

This study examined the perceptions of counselors-in-training (CIT) on artificial intelligence (AI) in counseling practice and training. 31 CIT responded to three open-ended questions about the benefits, drawbacks, and overall attitudes of integrating AI into counseling practice and education. Thematic analysis was used to analyze the responses. The findings showed that CIT perceive AI as a clinical support tool, especially for tasks such as diagnosis and treatment planning. Additionally, CIT voiced concerns of potential overreliance on AI, ethical risks, confidentiality concerns, and the possible loss of human connection. Furthermore, although several CIT expressed cautious optimism regarding AI's use in counselor …

Artificial Intelligence In Counselor Education: Innovative Strategies For Teaching, Supervision, And Clinical Training, Shannon Shoemaker, Nikki Freeburg, Kevin Duquette

Journal of Counselor Preparation and Supervision

As artificial intelligence (AI) transforms mental health and education, counselor educators must prepare future practitioners to engage with these technologies ethically and effectively. This article presents a systematic framework for incorporating AI into counselor education through three key approaches: AI-generated content, AI analysis, and AI interactions. The framework addresses critical considerations including ethical implementation, prompt engineering, and cultural competence while maintaining alignment with professional standards. Drawing from current literature and ethical guidelines, we provide structured guidance for implementing AI across various content delivery styles, with emphasis on preserving clinical judgment and therapeutic relationships. Comprehensive appendices include implementation guides, assessment rubrics, …

A Pilot-Study Evaluating The Fidelity Of Chatgpt In Client Simulations, Eric Tod Beeson, Yusen Zhai, Russell Fulmer, Andrew M. Burck, Rakesh Maurya

Journal of Counselor Preparation and Supervision

Generative AI (genAI) is expanding in counselor education. This pilot study evaluated ChatGPT 4o's voice mode for simulating client scenarios during 53-minute mock-intake sessions with master’s-level counseling students. Analyzing eight domains (authenticity, consistency, emotional expression, empathy, cultural dynamics, self-awareness, goal setting, and role play confusion), ChatGPT’s responses showed good to excellent fidelity when compared to a typical client. Limitations such as formulaic and idealized responses raised authenticity concerns. ChatGPT offers a scalable, cost-effective tool for pre-practicum training, with potential to enhance skill development across the curriculum. Educators are encouraged to integrate genAI thoughtfully, prioritizing ethical considerations and iterative prompt refinement.

Utilizing Artificial Intelligence Therapeutic Adjuncts To Support Autistic Adults Between Counseling Sessions, Carlos J. Castaneda Jr, Nicole Noble, Afroze N. Shaikh

Journal of Counselor Preparation and Supervision

The integration of artificial intelligence (AI) into mental health care presents innovative opportunities for therapeutic interventions. This pilot study examined the use of a customized Artificial Intelligence Therapeutic Adjunct (AITA) as a supplementary counseling tool for adults with level one autism spectrum disorder who attended weekly counseling sessions. Using a Single Subject Design to review trends in mental health symptoms and perceptions of the AITA, participants engaged with the AITA over four weeks, completed weekly anxiety and depression assessments, and post-intervention and satisfaction surveys. Thematic Analysis identified common counseling concerns and the AITA’s use of counseling techniques. Although findings suggest …

Reimagining The Counseling Profession: Preparing Counselors For Ai And Digital Health Integration, Carl J. Sheperis, Dusti L. Annan-Coultas, Caronne C. C. Rush

Journal of Counselor Preparation and Supervision

Digital health technologies including artificial intelligence (AI) are transforming mental healthcare delivery, creating new opportunities and challenges for counseling practice. This article examines digital health applications in counseling, including telehealth, mobile apps, digital therapeutics, virtual reality, and AI-powered tools. We explore key implications for practice, including enhanced accessibility, impacts on therapeutic relationships, and ethical considerations. The article presents a six-domain competency framework covering privacy and security, technical proficiency, ethical literacy, clinical integration, therapeutic adaptability, and administrative management. A case study illustrates the practical application of hybrid digital care, while a discussion of counselor education highlights the need for curriculum updates. …

Letter From The Editors: Special Issue: Artificial Intelligence In Professional Counseling And Counselor Preparation, Rachel Jacoby, Sandra Logan-Mckibben

Journal of Counselor Preparation and Supervision

No abstract provided.

Effectiveness Of Glucagon-Like Peptide 1 Receptor Agonists In The Treatment Of Heart Failure, Lisa Kristen Schloemann

SIU Journal of Medical Science Scholarly Works

ABSTRACT

Purpose: The purpose of this article is to review the use of glucagon-like peptide 1 receptor agonists (GLP-1 RA) in heart failure (HF) treatment considering the HF phenotype and comorbidities, including type 2 diabetes mellitus (DM) and obesity.

Method: A PubMed and Google Scholar literature search was conducted with search terms, HF and GLP-1 RA. Seven pertinent articles were retrieved and served as the basis for this clinical review.

Results: The efficacy of GLP-1 RA therapy in patients with heart failure with reduced ejection fractions (HFrEF) is unclear, with one study showing increased adverse cardiac events including tachyarrhythmias, and …

The Impact Of Physician Precepting On Medical Education And Healthcare Delivery: A Qualitative Secondary Analysis, Hannah E. Gutjahr, Steven A. Fasko

SIU Journal of Medical Science Scholarly Works

This qualitative study investigates the impact of physician precepting on medical education and healthcare delivery, prompted by the need for consistency in precepting practices across various institutions and specialties. Physician preceptors, who bridge the gap between theoretical learning and practical application, play a critical role in shaping competent and compassionate healthcare professionals. However, inconsistencies in precepting quality and challenges such as time constraints, inadequate training, and balancing clinical duties with teaching responsibilities necessitate a comprehensive evaluation of precepting's effectiveness.

A systematic literature review was conducted to explore these issues, focusing on secondary data from peer-reviewed journals, case studies, and policy …

In Silico Investigation Of The Anticancer Activity Of Natural Isoquinoline Alkaloids Targeting The Monoamine Oxidase A Enzyme, Reham A. Al-Anssari, Anwar H. Ali, Ola Adel Al-Saad, Shaker A.N. Al-Jadaan

AUIQ Complementary Biological System

Monoamine oxidase A (MAO-A) has recently been identified as a candidate for cancer therapy due to its roles in tumor development and growth. Conventional approaches for the discovery of MAO-A inhibitors are both costly and time-consuming. The objective of this work was to apply in silico methods to predict natural isoquinoline alkaloids capable of acting as potent MAO-A inhibitors, and to establish this class of compounds as potential sources of a cost-effective anticancer therapy. Twenty-one natural isoquinoline alkaloids were subjected to a multistep computer-aided drug discovery protocol. The compounds were initially screened for pharmacokinetic (ADME), toxicity, and drug-likeliness properties by …

Computed Tomography Features For Differentiating Mast Cell Tumors And Soft Tissue Sarcomas In Subcutaneous Masses In Dogs, Seri Hong, Daji Noh, Kija Lee, Hojung Choi, Youngwon Lee, Sooyoung Choi

The Thai Journal of Veterinary Medicine

This study aimed to investigate the computed tomography (CT) features of mast cell tumors (MCTs) and soft tissue sarcomas (STSs) in subcutaneous masses of dogs and to identify distinguishing characteristics between these two tumor types. This retrospective, multicenter study included 22 dogs with subcutaneous masses diagnosed as MCTs (n = 11) or STSs (n = 11) via fine needle aspiration or excisional biopsy. The CT features were evaluated based on four categories: location, morphological characteristics (including shape, margin, capsulation, size, and long axis to short axis (L/S) ratio of the lesion), internal parenchymal characteristics (including cavitation, vascularization, mineralization, homogeneity and …

A Case Of Adrenal Insufficiency Presenting With Seizures, Complicated By Developmental Cerebral Venous Anomaly And Takotsubo Cardiomyopathy: A Case Report, Katrina Villegas, Brittany Eason, Karolina Janiec, Alaa Musallam, Ahmed Hammouda, Samia Ammar Aldwaik, Radhika Tailor

Rowan-Virtua School of Osteopathic Medicine Departmental Research

BACKGROUND: Adrenal insufficiency is a potentially life-threatening condition that often presents with nonspecific symptoms. While fatigue, hypotension, and electrolyte disturbances are common features, seizures and stress-induced cardiomyopathy are rare initial manifestations. This case is reported for its atypical presentation and to highlight the diagnostic challenge it posed in the absence of classic biochemical findings.

CASE PRESENTATION: We report a case of a 68-year-old Hispanic woman with diabetes, hypertension, dyslipidemia, and hypopituitarism secondary to Sheehan syndrome, who presented with new-onset seizures after abruptly discontinuing chronic steroid therapy. Her symptoms included progressive weakness and behavioral changes over several weeks. Initial evaluation revealed …

Staff Education On Using The Epworth Sleepiness Scale In Primary Care, Amanda Robyn Jones

Walden Dissertations and Doctoral Studies

Sleep disorders are prevalent in primary care settings and often remain underdiagnosed due to inconsistent assessment practices. This doctoral project was conducted to develop, implement, and evaluate whether an educational intervention for registered nurses would enhance their knowledge on using the Epworth Sleepiness Scale (ESS) for sleep assessment in primary care. Guided by adult learning theories and the analysis, design, development, implementation, and evaluation instructional design model, the aim of the project was to address the practice gap related to inadequate sleep evaluations, ultimately improving patient outcomes and promoting holistic care. Evidence was collected through pre and post intervention assessments, …

Nevada Medical Residencies, 2025, Olivia K. Cheche, Caitlin J. Saladino, William E. Brown Jr.

Health

This fact sheet highlights medical residency data for the 2021, 2022, 2023, 2024, and 2025 graduating classes of the Kirk Kerkorian School of Medicine at the University of Nevada, Las Vegas (UNLV) and the University of Nevada, Reno (UNR) School of Medicine. This fact sheet presents data on residency program matches at the Kirk Kerkorian School of Medicine at UNLV and the UNR School of Medicine, shows where Nevada medical school graduates pursue their residencies, and updates findings from a 2024 fact sheet exploring 2021, 2022, 2023, and 2024 graduating class data.

Quantifying "Medical Renal Disease": A Pediatric Pilot Study Using Ultrasound Radiomics For Differentiating Acute Kidney Injury And Chronic Kidney Disease, Laura De Leon-Benedetti, Laith Sultan, Hansel Otero, Tatiana Morales-Tisnés, Joya Sims, Kate Fitzpatrick, Julie Fitzgerald, Susan Furth, Benjamin Laskin, Bernarda Viteri

SKMC Student Presentations and Publications

Background: Differentiating acute kidney injury (AKI) from chronic kidney disease (CKD) in children remains a critical unmet need due to the limitations of current clinical and biochemical markers. Conventional ultrasound lacks the sensitivity to discern subtle parenchymal alterations. This study explores the application of ultrasound radiomics—a novel, non-invasive, and quantitative image analysis method—for distinguishing AKI from CKD in pediatric patients. Methods: In this retrospective cross-sectional pilot study, kidney ultrasound images were obtained from 31 pediatric subjects: 8 with oliguric AKI, 14 with CKD, and 9 healthy controls. Renal parenchyma was manually segmented, and 124 advanced texture features were extracted using …

Relationship Of Provider-Patient Communication And Health Literacy To Self-Management In Black Adults With Type-2 Diabetes, Linda Walker

Walden Dissertations and Doctoral Studies

Black adults in the United States are nearly twice as likely to receive a diagnosis of type 2 diabetes mellitus (T2DM) and are more susceptible to severe diabetes-related complications. Health literacy and patient-provider communication (PPC) are extremely important for self-management in patients of all ethnicities however, 58% of non-Hispanic Blacks have basic or below-basic health literacy skills compared to 28% of non-Hispanic Whites. The purpose of this descriptive correlational study, with was guided by the interaction model of client behavior, was to determine (a) if there is relationship between PPC during the healthcare encounter to health literacy among Black adults …

Racial And Socioeconomic Disparities In Long Term Survival After Surgery And Radiation For Spinal Cord Hemangioblastoma, Abdul Karim Ghaith, Xinlan Yang, Joshua Weinberg, Shaan Bhandarkar, Taha Khalilullah, Abdel-Hameed Al-Mistarehi, Khaled Zaitoun, Meghana Bhimreddy, Arjun K. Menta, Antony A. Fuleihan, Kamel Chebaro, Jawad Khalifeh, Andrew Grossbach, Nicholas Theodore, Daniel Lubelski

Department of Medicine Faculty Papers

Spinal cord hemangioblastomas are rare, benign, intradural tumors that, despite their nonmalignant histopathology, can lead to substantial neurological morbidity. While disparities in outcomes based on race and socioeconomic status have been well-documented in other spinal tumor populations, their role in spinal cord hemangioblastoma remains poorly understood. In this study, we utilize the National Cancer Database (NCDB) to evaluate the influence of race, socioeconomic factors, and healthcare access on survival outcomes in patients with spinal cord hemangioblastoma. Additionally, we explore the utility of machine learning-based survival models to improve individualized risk prediction and to identify key clinical and sociodemographic determinants of …

Understanding And Predicting Flossing Behavior In A Rural Appalachian Community Using The Multi-Theory Model, Rahib K. Islam, Manoj Sharma, Amanda H. Wilkerson, Bradford Layman, Clyde Dunn, Shamima A. Somi, Ratnesh Sharma, Karen Gruszynski, Syed S. Quadri, Vinayak K. Nahar, Robert E. Davis

School of Medicine Faculty Publications

Effective flossing is essential for preventing periodontal disease. However, in a rural Appalachian community, adherence to flossing routines remains low, contributing to significant oral health disparities. The purpose of this study was to conceptualize intention of initiation and sustenance of flossing behaviors using the multi-theory model (MTM) of health behavior change. A cross-sectional survey was administered to individuals recruited from a shopping mall in rural Appalachia. The MTM constructs were measured and data were analyzed using multiple linear regression models. Of the 228 participants, 55% did not floss daily. Behavioral confidence (β = 0.571, p < 0.001) was a significant predictor for the intention of initiation of flossing among non-daily flossers, while emotional transformation (β = 0.377, p = 0.836) significantly explained sustenance among non-daily flossers. For daily flossers, changes in the physical environment (β = 0.432, p = 0.003) significantly predicted the intention of initiation of flossing, whereas emotional transformation (β = 0.344, p = 0.008) and practice for change (β = 0.594, p < 0.001) significantly predicted sustenance of flossing behavior. The MTM appears to be a robust framework for understanding and predicting flossing behaviors in rural Appalachian populations. Interventions designed to enhance behavioral confidence, physical environment changes, emotional transformation, and practice for change could improve flossing adherence. Further research should explore these constructs to develop targeted public health strategies.

Tense And Agreement Measures In Young African American English-Speaking Children, Kwaku Nyantakyi

LSU Doctoral Dissertations

The Tense Marker Total (TMT) and the Tense and Agreement Productivity (TAP) score are two ways of measuring children’s tense and agreement systems, and studies have shown that both measures track developmental growth across different ages in General American English (GAE)-speaking children. This dissertation examined the feasibility and validity of using these measures for children learning African American English (AAE).

The data were cross-sectional archival language samples from 38 AAE-speaking children who ranged in age from three to five years (11 at 3 years, 12 at 4 years, 15 at 5 years). The language samples were coded and scored for …

Does Patient Age Influence Procedural Management Of Kidney Trauma?, Nizar Hakam, Behzad Abbasi, Umar Ghaffar, Kevin D Li, Hiren Patel, Charles P Jones, Joseph Cuschieri, Benjamin N Breyer

2020-Current year OA Pubs

OBJECTIVES: We aimed to examine the association between patient age and procedural intervention, especially nephrectomy, in patients with renal trauma in the National Trauma Data Bank (NTDB).

MATERIALS AND METHODS: We queried the 2013-2020 NTDB for adult renal trauma patients with an American Association for the Surgery of Trauma (AAST) grade. Patients without AAST grade or with no sign of life were excluded. We constructed a multinomial logistic regression model to demonstrate the association between age and procedural interventions (renal angioembolization, renorrhaphy and nephrectomy). Models were adjusted for patient, hospital, and clinical factors.

RESULTS: Our cohort was comprised of 49,884 …

Optimizing Workflow And Patient Outcomes: The Impact Of The Modified Adult Difficult Intravenous Access (A-Diva) Scale On Peripheral Iv Access: A Quality Improvement Project, Dakota S. Weaver, Ryan O'Sullivan

Doctor of Nurse Anesthesia Practice (DNAP) Manuscripts

Peripheral intravenous cannulation (PIVC) is one of the most performed invasive procedures in hospital settings, yet it is frequently associated with multiple attempts in patients with difficult intravenous access (DIVA). In obstetric (OB) triage settings, where time-sensitive care is critical, failed PIVC attempts can delay treatment and negatively affect patient experience. The Modified Adult Difficult Intravenous Access (A-DIVA) scale is a validated tool designed to identify patients at risk for DIVA and guide early use of advanced techniques such as ultrasound (US) guidance.

A QI initiative was implemented in the OB triage unit of a large academic hospital. The tool …

Covid-19-Associated Mucormycosis Mimicking Odontogenic Pain: A Report Of Three Cases, Pegah Sarraf, Mahboube Hasheminasab, Mehrfam Khoshkhounejad, Seyed A. Abaee, Pardis Akbari, Mohammad H. Nekoofar, Paul M.H. Dummer

Pacific Faculty Work

Aim: The aim of this study was to present three cases of COVID-19-related mucormycosis mimicking endodontic pain and to discuss the relevant dental and medical literature for this potential life-threatening disease. Summary: Mucormycosis (previously called zygomycosis) is a rare but serious infection caused by a group of fungi called mucormycetes. Mucormycosis mainly affects people who are medically compromised and have systemic health conditions or take drugs that lower their immune response. There has been an increase in case reports/series of mucormycosis in individuals diagnosed with COVID-19. This is likely attributable to the high doses and prolonged use of corticosteroids in …

Staff Education On Suicidal Screening In Young African American Male Adults With Bipolar Disorders, Tokunbo Ndidi Allen

Walden Dissertations and Doctoral Studies

This Doctor of Nursing Practice education project aimed to enhance mental health providers’ preparedness in culturally competent suicide screening, specifically for African American males with bipolar disorder in a behavioral health department. The practice issue identified was a lack of documented training, leading to underdiagnosis, missed interventions, and health disparities driven by cultural stigma, provider discomfort, and the absence of standardized guidelines. This represents a serious patient safety concern for African American males with mood disorders, such as bipolar, who are significantly underserved in mental health care. The guiding question was: Does a suicide screening education program improve the knowledge …

Organizational Climate And Decision Aid Sustainability In Lupus Care: Mixed Methods Study, Aizhan Karabukayeva, Larry R Hearld, Nathan W Carroll, Reena Kelly, Jasvinder A Singh

Faculty, Staff and Students Publications

Background: Digital decision aids (DAs) are increasingly used in health care to support shared decision-making and promote patient engagement. In the context of systemic lupus erythematosus (SLE), a complex autoimmune disease characterized by diverse symptoms and uncertain prognoses, DAs offer guidance to patients in navigating treatment risks and benefits. Although numerous studies have examined the initial implementation of evidence-based tools, there is limited evidence on the organizational factors that influence their long-term sustainability in clinical practice. This gap is particularly salient for digital interventions, where integration into routine workflows and ongoing use require alignment with clinic readiness and culture. This …

Phytochemical Analysis And Appraisal Of Antiproliferative Activity Of Magnolia Alejandrae, José E. Caballero-Chávez, Alma D. Paz-Gonzalez, Diana V. Navarrete-Carriola, Fabian E. Olazarán, María Miriam Estevez-Carmona, Benjamin Nogueda-Torres, Fernando Emiliano Jiménez-Mondragón, Melany X. Márquez-Aguilar, Carmen Michelle Pineda-Alcala, Debasish Bandyopadhyay

School of Integrative Biological & Chemical Sciences Faculty Publications

Background: Magnolia alejandrae is a tree endemic to Tamaulipas, Mexico, distributed in the forests of the Sierra Madre Oriental. Objective: Our objective was to analyze the secondary metabolite profile of different parts of M. alejandrae and evaluate their antiproliferative activity in vitro. Methods: Different extracts of leaf, bark, and fruit were obtained using conventional and unconventional extraction methods with solvents of different polarity. The extracts were analyzed by Ultra-Performance Liquid Chromatography-Mass Spectra (UPLC-MS), and their antiproliferative activity against cancer cell lines was determined. Results: The primary yields of the extracts obtained from M. alejandrae ranged from 8.32% to 36.19%. Three …

Objective Performance Status: Enhancing Cancer Patient Fitness Assessment With Wearable Technology., Joseph Mccollom Do, Mazie Tsang

PCI Publications and Projects

Research output: Contribution to journal › Editorial › peer-review

Association Of Glucagon-Like Peptide-1 Receptor Agonists With Cancer Risk In Older Adults With Type 2 Diabetes, Ying Lu, Hao Dai, Huilin Tang, William T Donahoo, Thomas J George, Ramon C Sun, Sizun Jiang, Aik Choon Tan, Yi Guo, Jonathan D Licht, John M Allen, Kelvin P Lee, Jingchuan Guo, Jiang Bian

Faculty, Staff and Student Publications

Objective: The real-world evidence on the association between glucagon-like peptide-1 receptor agonists (GLP-1RAs) and cancer risk remains limited and mixed.

Methods: In 2013-2020 national Medicare claims data, we included cancer-naïve patients with type 2 diabetes (T2D). We identified those who initiated GLP-1 RA, sodium-glucose cotransporter 2 inhibitor (SGLT2i), or dipeptidyl peptidase 4 inhibitor (DPP4i) and conducted 1:1 propensity score matching for confounding adjustment. Cox proportional hazards models were used to estimate hazard ratios (HR) of nine obesity-associated cancers (thyroid, pancreatic, bladder, colorectal, lung, kidney, breast, endometrial, and prostate cancer).

Results: In the matched GLP-1RA versus SGLT2i cohort (n = 21,362 …

Prefrontal Cortex Astrocytes Modulate Distinct Neuronal Populations To Control Anxiety-Like Behavior, Eunyoung Kim, Hairuo Du, Yanqi Tan, Brandon L Brown, Yaowen Chang, Blanca Díaz-Castro, Jonathan V Sweedler, Xinzhu Yu

Faculty, Staff and Student Publications

Accumulating evidence has supported diverse regulatory functions of astrocytes in different neural circuits as well as various aspects of complex behaviors. However, little is known about how astrocytes regulate different neuronal subpopulations that are linked to specific behavioral aspects within a single brain region. Here, we show that astrocytes in the medial prefrontal cortex (mPFC) encode anxiogenic environmental cues in freely behaving mice. Silencing mPFC astrocyte Ca

Phase 1/2 Trial Of Encorafenib, Cetuximab, And Nivolumab In Microsatellite Stable Brafv600e Metastatic Colorectal Cancer, Van K Morris, Christine M Parseghian, Vahid Bahrambeigi, Nourhan Abdelfattah, Lianchun Xiao, Anjali Agrawal, Kangyu Lin, Kanwal P S Raghav, Robert A Wolff, Arvind Dasari, Ryan W Huey, Bryan K Kee, Michael J Overman, Jason A Willis, Phat H Le, Michelle Escano, Yunyu C Baig, Kelsey Pan, David Menter, Alda L Tam, Wai C Foo, Li Shen, Hey Min Lee, Thomas D Gallup, Cori Margain, Dave Gallup, Kimal I Rajapakshe, Paola A Guerrero, Jing Wang, Ryan B Corcoran, Anirban Maitra, Kyuson Yun, Scott Kopetz

Faculty, Staff and Student Publications

The BRAF inhibitor encorafenib and anti-epidermal growth factor receptor (EGFR) antibody cetuximab modestly improve survival for patients with microsatellite stable (MSS) BRAFV600E metastatic colorectal cancer (mCRC), characterized by higher immune activation than MSS BRAFwild-type colorectal cancer (CRC). In this phase 1/2 study (NCT04017650) of 26 participants with MSS BRAFV600E mCRC who received encorafenib, cetuximab, and anti-PD-1 antibody nivolumab, we report an overall response rate of 50% (95% confidence interval [CI] 29–71) and median progression-free survival of 7.4 months (95% CI, 5.6–9.6). Transcriptomic profiling of pretreatment biopsies and extracellular vesicle RNA (evRNA) isolated from plasma show …

Circzfr/Ythdf3 Axis Drives Lymph Node Metastasis In Cervical Cancer Via Fasn Translation, Mingyi Zhou, Yan Gao, Yong Zhang, Lian He, Bo Gao, Yue Zhang, Francois X Claret, George A Calin, Danbo Wang

Faculty, Staff and Student Publications

Background: Lymph node metastasis is a key driver of poor outcomes in cervical cancer. However, the molecular mechanisms of circular RNAs (circRNAs) driving cervical cancer lymph node metastasis remain unclear.

Methods: We identified circZFR, fatty acid synthase (FASN) and YTH N6-methyladenosine RNA binding protein F3 (YTHDF3) protein expression in the cervical cancer patients with long and short disease-free survival (DFS). Functional experiments were performed to investigate the function of circZFR, FASN and YTHDF3 on cell migration and invasion. MeRIP-qPCR, RNA pulldown, RNA Immunoprecipitation (RIP), and Co-Immunoprecipitation (Co-IP) assays were executed to investigate the mechanism of circZFR regulating FASN protein expression. …

Human Interpretable Grammar Encodes Multicellular Systems Biology Models To Democratize Virtual Cell Laboratories, Jeanette A I Johnson, Daniel R Bergman, Heber L Rocha, David L Zhou, Eric Cramer, Ian C Mclean, Yoseph W Dance, Max Booth, Zachary Nicholas, Tamara Lopez-Vidal, Atul Deshpande, Randy Heiland, Elmar Bucher, Fatemeh Shojaeian, Matthew Dunworth, André Forjaz, Michael Getz, Inês Godet, Furkan Kurtoglu, Melissa Lyman, John Metzcar, Jacob T Mitchell, Andrew Raddatz, Jacobo Solorzano, Aneequa Sundus, Yafei Wang, David G Denardo, Andrew J Ewald, Daniele M Gilkes, Luciane T Kagohara, Ashley L Kiemen, Elizabeth D Thompson, Denis Wirtz, Laura D Wood, Pei-Hsun Wu, Neeha Zaidi, Lei Zheng, Jacquelyn W Zimmerman, Jude M Phillip, Elizabeth M Jaffee, Joe W Gray, Lisa M Coussens, Young Hwan Chang, Laura M Heiser, Genevieve L Stein-O'Brien, Elana J Fertig, Paul Macklin

Faculty, Staff and Student Publications

Cells interact as dynamically evolving ecosystems. While recent single-cell and spatial multi-omics technologies quantify individual cell characteristics, predicting their evolution requires mathematical modeling. We propose a conceptual framework-a cell behavior hypothesis grammar-that uses natural language statements (cell rules) to create mathematical models. This enables systematic integration of biological knowledge and multi-omics data to generate in silico models, enabling virtual "thought experiments" that test and expand our understanding of multicellular systems and generate new testable hypotheses. This paper motivates and describes the grammar, offers a reference implementation, and demonstrates its use in developing both de novo mechanistic models and those informed …