Medical Specialties Commons^™

The Effects Of Abused Drugs On Ferroptosis Pathways: Potential Therapeutic Targets For Substance Use Disorders, Tamara Bouchard, Brooke Russell, Liam Liyang Guo, Tina Nguyen, Yan Cheng, Yan Y. Sanders, Ming-Lei Guo

Department of Biomedical and Translational Sciences Faculty Publications

Substance use disorders (SUDs) remain major public health concerns worldwide, particularly in developed countries. SUDs are characterized by persistent neuroinflammation and synaptic dysfunction in the brain. Despite decades of extensive investigation, the detailed mechanisms underlying SUDs remain elusive. Ferroptosis is a highly regulated cell death process deeply affected by iron metabolism, lipid peroxidation, reactive oxygen species (ROS) production, and antioxidant systems. It has been implicated in multiple neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, and ischemic stroke. Recently, emerging evidence has highlighted the role of ferroptosis in drug-induced pathological changes. Various types of abused substances including alcohol, cocaine, …

Mepolizumab Improves Outcomes In Patients With Crswnp With One Or More Prior Nasal Polyp Surgeries, Joseph K. Han, Joaquim Mullol, Martin Wagenmann, Laura Walrave, Lingjiao Zhang, Ana R. Sousa, Peter Howarth, Claire Hopkins

Department of Otolaryngology (ENT) Faculty Publications

BACKGROUND: Patients with chronic rhinosinusitis with nasal polyps (CRSwNP) often undergo multiple nasal surgeries. The Phase III SYNAPSE study (GSK ID:205687; NCT0308579) demonstrated that mepolizumab reduces the need for repeat surgery. We explored whether outcomes differed based on the number of prior surgeries. METHODOLOGY: This post hoc analysis of SYNAPSE stratified patients by history of 1 or more than 1 prior surgery. Patients were randomised to receive mepolizumab or placebo every 4 weeks, alongside standard of care, for 52 weeks. Outcomes included change from baseline in endoscopic nasal polyp (NP) score, visual analogue scale (VAS) scores for nasal obstruction, loss …

Clinical Microbiology & Infectious Diseases: A Concise Guide On The Fundamentals Of Infectious Disease In Podiatric Medical Education, Paramita Basu

Open Touro Created

2026

This Open Educational Resource (OER), Clinical Microbiology & Infectious Diseases, is a student-centered textbook designed to support pre-clinical podiatric medical students enrolled in PCLP 610 Infectious Diseases at the New York College of Podiatric Medicine. The book is structured as a collection of concise “chapter briefs” or high‑yield notes that align closely with the course syllabus, lecture objectives, and student learning outcomes, while also reflecting the Microbiology learning objectives outlined in the AACPM Council of Faculties Curricular Guide.

The content covers core principles of medical microbiology and infectious diseases, including bacteria, viruses, fungi, parasites, host–pathogen interactions, antimicrobial therapy, resistance …

Attf-Gnn: An Attention-Based Multi-Omics Graph Neural Network With Modality Learning For Disease Subtyping, Sovon Chakraborty, Eleni Adam, Terry Stilwell, Harold Riethman, Desh Ranjan, Pratip Rana

Computer Science Faculty Publications

We propose AttF-GNN, an attention-based graph fusion strategy for diseases classification and subtyping. In multiomics analysis, not all types of molecular data are equally relevant for disease subtyping and considering all modalities equally may obscure discriminative signals and limit the effectiveness of predictive models by overlooking modality-specific contributions. Therefore, we design an attention-based multimodal GraphSAGE framework that can automatically emphasize the modalities providing the most relevant information for classification. At first, we have constructed three graphs using mRNA, RNA-seq and DNA methylation modalities, and train each omics with individual GraphSAGE encoders. Next, a unified intersection graph is formed using an …

Chromnet: A Multi-Task Learning Framework For Cross-Cell Type Prediction Of 3d Chromatin Interactions Using Epigenetic Signals, Bin Wang, Shaokai Wang, Liqing Ding, Hongdong Li, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

The 3D organization of chromatin plays a fundamental role in gene regulation, cellular function, and disease mechanisms. However, current experimental techniques, such as Hi-C, remain costly and labor-intensive, limiting their application in large-scale and disease-related studies. To address this challenge, ChromNet is presented, a multi-task learning framework that integrates epigenetic signals across diverse cell types to enable high-precision prediction of chromatin architecture. By incorporating noise perturbation and auxiliary classification tasks, ChromNet improves the identification of topologically associating domains (TADs) and cell-type-specific chromatin structures, demonstrating superior generalization performance. Notably, ChromNet accurately predicts chromatin interactions in acute myeloid leukemia (AML) samples by …

Adaptive Self-Attention For Enhanced Segmentation Of Adult Gliomas In Multi-Modal Mri, Evan P. Savaria, Jiangwen Sun

Computer Science Faculty Publications

Every year there are an estimated 80,000–90,000 new glioma cases, highlighting the need for reliable imaging-based decision support. Although deep learning has improved tumor sub-region segmentation, many state-of-the-art models fail to fully capture complementary information across T1, T1Gd, T2, and FLAIR MRI modalities and often operate as “black boxes,” limiting physician trust when precise delineation is critical for surgical planning, radiation targeting, and treatment monitoring. To address these limitations, we propose AIMS, an Adaptive Integrated Multi-Modal Segmentation framework that maintains modality-specific feature streams and employs adaptive self-attention within a hierarchical CNN-Transformer architecture to prioritize and fuse multi-modal MRI features. We …

Measuring Cancer Equity Globally: Harmonising International Rural-Urban Classifications For Exploring Cancer Outcomes, Charlene Wright, Sharina Riva, Megan Crichton, Helena Rodi, Hannah Jongebloed, Lucy Leigh, Elizabeth A. Johnston, Rebecca J. Bergin, Anna Chapman, Laura Alston, Fiona Crawford–Williams, Nicolas H. Hart, Joel Rhee, Lan Gao, Kate Gunn, Harry Gasper, Anna Ugalde, Skye Marshall

Research outputs 2022 to 2026

Geographic disparities in cancer outcomes represent a critical health equity challenge, with rural populations consistently experiencing poorer outcomes than urban populations. The lack of harmonised rurality measures creates substantial barriers to evidence synthesis and has precluded meta-analyses. This perspectives paper discusses concepts of rurality, identifies rurality classification systems used by cancer researchers in OECD countries that can be harmonised with the OECD Extended Typology, and develops recommendations for consistent rural-urban coding. Targeted searches of grey and published literature on cancer policy and rurality classification systems were conducted. The secondary analysis examined studies identified through systematic database searching of OVID Medline, …

Cardiovascular–Kidney–Metabolic Syndrome Through The Lens Of Gut‑Derived Uremic Toxins, Chudan Xu, Matthew Snelson, Francine Z. Marques

Research outputs 2022 to 2026

Cardiovascular–Kidney–Metabolic (CKM) syndrome represents a complex, interconnected cluster of cardiovascular disease, chronic kidney disease, and metabolic disorders such as obesity and type 2 diabetes. These conditions share overlapping metabolic, inflammatory, and vascular pathways, with the gut microbiome increasingly recognised as a key contributor and common underlying risk factor. Uremic toxins, traditionally considered waste products of host and microbial metabolism, are now recognised as active mediators of tissue damage across the CKM spectrum, particularly in the context of impaired renal function. Their production and accumulation are amplified by disrupted intestinal barrier integrity, chronic inflammation, and reduced renal clearance, collectively driving systemic …

Emerging Blood-Based Biomarkers For The Detection Of Parenchymal Brain Metastasis: Current Progress And Future Perspectives, Désirée Sexauer, Elin S. Gray, Helen Rizos, Pauline Zaenker, Aaron B. Beasley

Research outputs 2022 to 2026

Parenchymal brain metastases of solid malignancies remain a significant clinical challenge, as they are often detected at later symptomatic stages, which are typically associated with worse prognosis. Delayed detection limits treatment options and contributes to poor outcomes, while early detection is critical for improving patient outcomes and quality of life. In this comprehensive review, we investigated the potential use and challenges of blood-based biomarkers, including circulating tumor cells, cell-free DNA, noncoding RNAs, extracellular vesicles, proteins, and other immune-related biomarkers, for the early detection of parenchymal brain metastasis. The use of blood-based liquid biopsies offers a promising avenue for early detection …

A Collaborative Communities-Of-Practice Methodology For Environmental Design Research: A Case Study Application In Palliative Care, Emil E. Jonescu, Benjamin Farrell, Chamil Erik Ramanayaka, Lori Delaney, Edward Litton, Talia J. Uylaki, Gareth Watts, Bella Brigham, Frances Bellemore, Davinia Seah

Research outputs 2022 to 2026

Environmental design in palliative care settings receives increasing attention, yet methodologies for studying such environments often lack interdisciplinary integration. Traditional research designs may overlook the lived expertise of clinicians and designers. Objectives: This article describes a collaborative, cross-disciplinary communities-of-practice model developed as a methodological framework to enable effective environmental evaluation and design processes in healthcare settings. Its application is illustrated through a case study in a palliative care unit. Methods: A co-designed, multi-methods approach was developed by a team of clinicians, facility managers, and academic researchers. The methodology included a scoping review, site-specific environmental data logging (sound, temperature, lighting), and …

Professional Quality Of Life Among Medical Surgical And Telemetry Registered Nurses, William Lim, Emy-Lee Marie Anglo Ricafrente, Jenny Carrillo

Publications 2026-present

No abstract provided.

Precision Exercise For Breast Cancer-Related Outcomes: Towards Personalised Training Based On Tumour, Treatment And Patient Characteristics, Cristina Crespo-Garcia, Anita Borsati, Dennis R. Taaffe, Carolyn J. Peddle-Mcintyre, John P. Campbell, Alice Avancini, Emily Jeffery, Daniel A. Galvao, Robert U. Newton

Research outputs 2022 to 2026

Exercise is a promising strategy associated with improved cancer-related outcomes through multiple biological mechanisms. However, current exercise guidelines largely adopt a one-size-fits-all approach and overlook inter-individual variability in response. Given the heterogeneity of breast cancer, precision exercise prescriptions may better target biological pathways linked to therapeutic efficacy and long-term prognosis. Observational studies consistently show that higher physical activity levels are associated with improved survival outcomes, including reduced all-cause and breast cancer-specific mortality. In contrast, evidence from interventional trials remains limited and inconsistent, with effects on tumour response and survival largely derived from secondary or exploratory analyses. These discrepancies likely reflect …

Trends In Dermatologic Biologic Prescribing: A Medicare Part D Public Use File Analysis From 2018 To 2023., Cathleen V D'Angelo, Patricia Wilberger, Chase Merritt, Joshua Burshtein, Dawn Merritt

Ambulatory and Primary Care Articles

No abstract provided.