Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

International Myositis Assessment And Clinical Studies Guidelines For Risk-Based Cancer Screening: An External Validation In Patients With Dermatomyositis Seen At A Metropolitan Academic Center, Isabel Silva, Jasper Dayanan, Alexandra Nigro, Capriana Jiang, Ma Georgina Erfe, Trixie Rivera, Saakshi Khattri

Department of Medicine Faculty Publications

Objective

Dermatomyositis (DM) is an idiopathic inflammatory myopathy (IIM) characterized by muscle weakness, skin findings, and increased malignancy risk. Cancer risk is greatest in the three years before or after DM onset, termed paraneoplastic DM. The International Myositis Assessment and Clinical Studies Group (IMACS) set forth evidence-based guidelines for risk stratification and cancer screenings for newly diagnosed patients with IIM. '

Methods

We retrospectively reviewed the records of 413 patients with a known diagnosis of DM or clinically amyopathic DM at the Mount Sinai Health System (2019-2024). Demographics, clinical findings, laboratory results, myositis autoantibody panels, and cancer screening or diagnosis …

Association Of Valvular Disease Progression Using Echocardiographic Findings In A Large U.S. Cohort, Abes A. Bautista Neughebauer, Amin Yehya, Raymond L. Benza, Deepak Talreja

Department of Medicine Faculty Publications

Background

The prevalence of valvular disease in the US is approximately 2.5%. Given that over 5 million Americans are affected, it is crucial to find those at higher risk of progression. The goal of this paper is to uncover which patients are more likely to have valvular disease progression using demographic factors, EKG and echocardiogram (ECHO) findings.

Methods

This paper utilized the EchoNext Database, which pairs 100,000 electrocardiograms and echocardiograms based on specific structural heart disease labels. Univariate and multivariate logistic regression were used to find risk factors for progression for aortic stenosis (AS), aortic regurgitation (AR), mitral regurgitation (MR), …

Baseline Lymphopenia Predicts Survival In Ici-Naïve Solid Tumor Patients Receiving Immune Checkpoint Inhibitors: A Propensity-Matched Real-World Pan-Cancer Analysis, Ahmed Ismail, Nina Balanchivadze, George R. Simon, Yanis Boumber

Department of Medicine Faculty Publications

Background: Baseline lymphopenia is common among advanced solid tumors and may influence the efficacy/safety of immune checkpoint inhibitors (ICIs), but large real-world evidence is limited. We evaluated the association between baseline absolute lymphocyte count (ALC) and clinical outcomes in adults with solid tumors treated with ICIs in routine practice. Methods: We performed a retrospective cohort study using TriNetX. Adults with solid tumors who received pembrolizumab, nivolumab, or atezolizumab (ICI-Naïve) between January 2015 and June 2026 were included. Baseline ALC was measured within 30 days before first treatment and was classified as lymphopenic (ALC < 1.5 × 10⁹/L) or non-lymphopenic (ALC ≥ 1.5 × 10⁹/L). Propensity score matching (1:1) yielded 5249 patients per group. The index date was the first immunotherapy date, and outcomes were assessed at 6, 12, 24, 36 months, and 5 years. The primary outcome was 24-month overall survival (OS); secondary outcomes were OS at 6 and 12 months and 6-month risks of healthcare utilization, immune-related adverse events (irAEs), and serious infections; and exploratory outcomes included OS at 36 months and 5 years. All outcomes were analyzed using Kaplan–Meier analysis, Cox proportional hazards models, and risk ratios. Subgroup analysis included OS stratified by solid tumor subtypes and prior lines of therapy. Results: After matching, patients with baseline lymphopenia …

When Unilateral Leg Swelling Is Not Deep Vein Thrombosis: A Case Of Disseminated Kaposi Sarcoma Revealing Advanced Human Immunodeficiency Virus, Ahmed Ismail, Zachary Wilson, Thomas Currow, Michael Dileonardo, Carsten Kirby

Department of Medicine Faculty Publications

Kaposi sarcoma (KS) is an acquired immunodeficiency syndrome (AIDS)-defining malignancy that can involve the skin, lymph nodes, and visceral organs in patients with advanced human immunodeficiency virus (HIV). We report the case of a 35-year-old man with no known prior medical history who presented to the charity care clinic complaining of recurrent thrush and two weeks of progressive right lower extremity swelling. His physical examination revealed painful, pruritic violaceous papules and plaques over the proximal right thigh that had been present for one week. He was referred to the emergency department (ED) for further workup. Venous duplex ultrasonography was negative …

Comparison Of Fully Covered Self-Expandable Metal Biliary Stents With Or Without Anchoring Double-Pigtail Plastic Stents: A Systematic Review And Meta-Analysis, Samuel Tanner, Fadi Hawa, Alejandra Vargas, Priyata Dutta, Antonio Facciorusso, Jean M. Chalhoub, Jorge D. Machicado

Department of Medicine Faculty Publications

Background and AIMS

Fully covered self-expandable metal stents (FcSEMSs) have become the mainstay of treatment for a variety of biliary pathologies. However, FcSEMSs have been associated with a greater rate of stent migration than other types of stents. A technique of anchoring double-pigtail plastic stents (DPPSs) has been proposed to minimize migration of biliary FcSEMSs. Herein, we evaluated the efficacy of anchoring DPPSs among patients treated with biliary FcSEMSs.

Methods

We performed a systematic review using PubMed, EMBASE, and Web of Science from database inception through August 2023. Full-text articles comparing FcSEMSs with or without anchoring DPPSs were included. We …

Redo Tavr With Asymmetric Coronary Risk: Interpreting Borderline Ct Findings, Connor J. Mckechnie, Nicolas J. Valle, Omar A. Saleh, Matthew R. Summers, Deepak R. Talreja

Department of Medicine Faculty Publications

Image(s)

Computed tomography (CT) and computational modeling (DASI) in redo transcatheter aortic valve replacement (TAVR) planning.

Case Summary

A 77-year-old woman presented with severe symptomatic aortic stenosis due to degeneration of a prior transcatheter valve. CT demonstrated leaflet calcification with borderline left-sided valve-to-coronary distance (3.27 mm). Geometric assessment suggested low right coronary obstruction risk, but higher left main risk. Computational modeling demonstrated adequate leaflet-coronary clearance (distance from displaced leaflet cusp to coronary ostium normalized to coronary diameter >0.7). Redo TAVR with a 26-mm Evolut FX was performed without leaflet modification and no coronary obstruction.

Take-Home Message

Borderline CT findings in …

Partial Post-Exposure Protection By Topical Inserts Containing Tenofovir Alafenamide Fumarate/Elvitegravir In A Macaque Model Of Rectal Simian Hiv (Shiv) Infection, Natalia Makarova, Tyana Singletary, M. Melissa Peet, Kristen Kelley, Ryan Johnson, Vivek Agrahari, Maria Mendoza, Yi Pan, Walid Heneine, Meredith R. Clark, J. Gerardo García Lerma, Gustavo F. Doncel, James W. Smith

CONRAD Publications

On-demand topical inserts for HIV prevention may be a good option for people who have a low frequency of sexual activity. We recently demonstrated in a preclinical macaque model that rectal application of inserts containing tenofovir alafenamide fumarate (TAF) and elvitegravir (EVG) conferred protection against SHIV infection (93% efficacy) when applied as pre-exposure prophylaxis 4 hours before SHIV exposure. Here, we show that the same inserts provide significant postexposure protection (82.9% efficacy) when applied 4 hours after SHIV exposure. Our findings further support the ongoing clinical development of TAF/EVG inserts for on-demand HIV prevention.

Impact Of Contraceptive Initiation On The Cervicovaginal Mucosa: Results From The Umpala Multicentre Partially Randomized Patient-Preference Interventional Trial, Betty Njoroge, Nelly Mugo, Carolina Herrera, Karen Dominguez, Louise A. Ouattara, Nazita Yousefieh, Neelima Chandra, Agnieszka Kurczewska, Stephanie Nartey, Julie Lewis, Andrea R. Thurman, Matilda Saina, Raina N. Fichorova, Jacques Ravel, Reem Sharaf Alddin, Nicola Richardson-Harman, Kenneth Ngure, Gustavo F. Doncel

CONRAD Publications

Background: Long-acting contraceptives are widely used, providing superior efficacy and systemic safety; however, the impact of contraceptive initiation on female genital tract function and health has been understudied.

Methods: Non-pregnant, HIV-uninfected women aged 18–50 years were enrolled in a dual-centre partially randomized patient-preference interventional trial (NCT04814927) and allowed to choose one of four contraceptive options, etonogestrel contraceptive implant, depot medroxyprogesterone acetate subcutaneous injection, levonorgestrel intrauterine device, and copper IUD, with a minimum target of 12 participants per arm and site. Sampling took place at baseline, 1 and 3 months after contraceptive initiation, and 1 month post-contraceptive discontinuation. Primary outcomes focused …

The Crucial Role Of Machine Learning Models In Predicting Current Childhood Asthma: Model Comparison, Calibration, And Shap-Based Interpretation, Aditya Chakraborty, A. K.M. Raquibul Bashar

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Background: Asthma is one of the most prominent chronic diseases in children and one of the most challenging ailments to diagnose in infants and preschoolers in the United States. Predictive models can be instrumental in improving early diagnosis, personalized treatment strategies, and disease progression. By utilizing nationalized data, this study focuses on building and comparing high-performing analytical predictive models based on the relevant risk factors and identifying the most influential predictors.

Methods: We analyzed cross-sectional BRFSS Asthma Call-Back Survey data (2011-2020; N = 9,813) and randomly split participants into training and testing sets. An XGBoost model (hyperparameters tuned via grid …

Educational Attainment And Symptom Improvement In Treatment-Resistant Depression: A Longitudinal Cohort Analysis Across Treatment Modalities, Marjorie Harrison, Giselli Scaini Msc, Phd, Aspen Viamontes

Summer Research Program Abstracts

No abstract provided.

Neurodevelopmental Outcomes After Posthemorrhagic Hydrocephalus Of Prematurity, Mekal S. Mathew, Rene Leal, Caroline L. Hanan, David J. Sun, Hasan K. Mubarak, Amelie D. Perrier, William E. Johnson, Micolette R. Mardik, Trevor R. Alwell, Christian Amezquita Contreras, Chance E. Hatfield, Peter H. Yang

Summer Research Program Abstracts

No abstract provided.

Maxgrnet: A Multi-Axis Vision Transformer With Improved Generalization For Eye Disease Classification Using Explainable Ai With Insertion-Deletion Operations On Fundus Images, Md Mehedi Hasan Santo, Fuyad Hasan Bhoyan, Fuad Ibne Jashim Farhad, Fahmid Al Farid, Sovon Chakraborty, Md Humaion Kabir Mehedi, Jia Uddin, Hezerul Bin Abdul Karim

Computer Science Faculty Publications

Eye diseases, including diabetic retinopathy (DR), glaucoma, and cataracts, represent a major global health concern and can lead to severe visual impairment or blindness if not identified in a timely manner. This study proposes a novel eye disease classification framework based on a multi-axis vision transformer (MaxViT) applied to color fundus images with Explainable Artificial Intelligence (XAI) techniques to enhance model transparency. The proposed architecture integrates transformer-based attention mechanisms with Global Response Normalization (GRN)-based multi-layer perceptron (MLP) layers to capture complex spatial and contextual relationships within fundus images effectively. The model was evaluated on a publicly available eye disease classification …

Privacy-Preserving Federated Learning With Optimized Ensemble Weighting And Knowledge Distillation For Covid-19 Detection From Non-Iid Medical Imaging Data, Richard Annan, Hong Qin, Robert Newman, Madhuri Siddula, Letu Qingge

Computer Science Faculty Publications

Medical imaging enables rapid and accurate diagnosis of COVID-19, with CT scans proving especially effective. However, data privacy concerns limit collaborative model development across hospitals. To address this issue, we introduce a novel federated learning framework. It is referred to as Independent Knowledge Distillation with post-Ensemble Federated Learning (IKDEFL). Differential Privacy (DP) is integrated into the framework to improve privacy guarantees. Three DP mechanisms are evaluated. These include Fixed Gaussian, Gaussian Adaptive, and Tree Adaptive. The evaluation has been conducted on heterogeneous and Non-Independent and Identically Distributed (Non-IID) datasets. These datasets reflect real-world hospital scenarios. Results show that IKDEFL significantly …

Near Real-Time Adaptive Isotropic And Anisotropic Image-To-Mesh Conversion For Cerebral Aneurysm Simulations, Kevin Garner, Chander Sadasivan, Nikos Chrisochoides

Computer Science Faculty Publications

This paper presents two performance optimization techniques for a mesh adaptation method that is designed to help streamline the discretization of complex vascular geometries within the numerical modeling process. This method is integrated into a pipeline with an image-to-mesh conversion tool to generate adaptive anisotropic meshes from segmented medical images. The pipeline is shown to satisfy quality, fidelity, smoothness, and robustness requirements while providing near real-time performance for medical image-to-mesh conversion. Tested with two brain aneurysm cases and utilizing up to 96 CPU cores within a single, multicore node on Purdue University’s Anvil supercomputer, the parallel adaptive anisotropic meshing method …

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 …

A Comparative Analysis Of Explainable Ai (Xai) Techniques For Transparent And Reliable Image Classification, Sovon Chakraborty, Shakib Mahmud Dipto, Kevin R. Pilkiewicz, Michael L. Mayo, Pratip Rana

Computer Science Faculty Publications

Evaluating the trustworthiness of black-box machine learning models remains a significant methodological challenge. Their lack of transparency and interpretability limits applicability, because stakeholders often seek transparency before trusting the results of black-box machine learning models. Explainable AI (XAI) methods provide for human-understandable justifications and informed decision-making of these black-box architectures. Therefore, it is imperative to select the proper XAI model tailored to specific tasks. In this research, we focus on examining four XAI techniques: PEEK, LRP, GRAD-CAM, and LIME to understand how they perform against each other for image classification tasks. We evaluate the performance, robustness, generalizability, noise stability, and …

Serum Protein Signatures For Breast Cancer Detection In Treatment-Naïve African American Women Using Integrated Proteomics And Pattern Analysis, Padma Tadi Uppala, Elmer Rivera, Hyun J. Kwon, Sharon S. Lum

Faculty Publications

Breast cancer is the leading cause of cancer-related mortality in African American (AA) women. In this study we evaluated the serum proteomic profile of AA women with breast cancer using an integrated proteomic framework with multivariate pattern analysis. Using 2D-DIGE, thousands of serum protein spots were detected across 33 gels; 46 spots met criteria for presence, statistical significance, and differential expression. Proteins from the spots were identified by MALDI-TOF/TOF and matched in curated databases, highlighting serum biomarkers including ceruloplasmin, alpha-2-macroglobulin, complement component C3 and C6, alpha-1-antitrypsin, alpha-1B-glycoprotein, alpha-2-HS-glycoprotein and haptoglobin-related protein. LC-MS/MS analysis revealed 163 differentiating peptides after imputing and …

Injectable Hydrogels For Bone Regeneration: Mechanical Reinforcement Strategies Using Nanoparticles And Nanofibers: Review Paper, Fariba Ganji, Morteza Mirzagoli, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background and Purpose: The growing demand for bone regeneration following severe injuries highlights the importance of scaffolds in bone tissue engineering (BTE). Injectable hydrogels have emerged as promising candidates because their properties closely mimic the native extracellular matrix (ECM). However, their limited mechanical strength and structural instability restrict their practical application. Approach: This review summarizes recent strategies for reinforcing in situ-forming injectable hydrogels to improve their mechanical performance for bone regeneration. Particular emphasis is placed on nanomaterial-based strategies, including the incorporation of nanoparticles and nanofibers, and their ability to enhance the physical properties of polymeric networks. Key Results: Evidence from …

Photobiomodulation Mitigates The Inhibitory Effects Of Pirfenidone On Cancer-Associated Fibroblasts And Their Pro-Tumorigenic Properties: A Cause For Concern, Nima Rastegar-Pouyani, Alireza Nasirpour, Fatemeh Javani Jouni, Hossein Vazini, Ahmad Moshaii

Electrical & Computer Engineering Faculty Publications

Cancer-associated fibroblasts (CAFs) within the tumor microenvironment highly contribute to cancer progression and poor prognosis. Recent findings introduce pirfenidone, a medication for pulmonary fibrosis, as a promising repurposed candidate for inhibiting CAFs. Moreover, photobiomodulation (PBM), or low-level laser therapy, has surfaced as a potential modality against cancer; however, its impact on CAFs is not thoroughly comprehended. The present study scrutinized the effects of PBM, pirfenidone, and PBM+pirfenidone on CAFs, and their consequent impact on cancer cells using the CAF-conditioned media. After treating CAFs with PBM at wavelengths 660 and 980 nm with/without PFD and then culturing cancer cells in the …

Pin-Plane Electrical Discharge Driven By A Mosfet Dc Current Source, Myles Perry, Sidmar Holoman, Daniel Wozniak, Shirshak Kumar Dhali

Electrical & Computer Engineering Faculty Publications

The generation of atmospheric pressure nonequilibrium plasma using electrical discharges is an active area of research due to its significance in a wide spectrum of applications including medicine, combustion, and manufacturing. In our attempt to create a helium plasma jet in a pin-plane discharge with a constant current source, we observed self-pulsating behavior. We present the results of the electrical, optical, and spectroscopic measurements carried out to characterize the discharge. The duration of the discharge is a few tens of nanoseconds, and the repetition rate is in the few tens of kHz. The effect of the gap distance and gas …