Investigative Techniques Commons^™

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 …

Current Mechanobiological Pathways And Therapies Driving Spinal Health, Rahul Kumar, Kyle Sporn, Harlene Kaur, Akshay Khanna, Phani Paladugu, Nasif Zaman, Alireza Tavakkoli

SKMC Student Presentations and Publications

Spinal health depends on the dynamic interplay between mechanical forces, biochemical signaling, and cellular behavior. This review explores how key molecular pathways, including integrin, yeas-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ), Piezo, and Wingless/Integrated (Wnt) with β-catenin, actively shape the structural and functional integrity of spinal tissues. These signaling mechanisms respond to physical cues and interact with inflammatory mediators such as interleukin-1 beta (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor alpha (TNF-α), driving changes that lead to disc degeneration, vertebral fractures, spinal cord injury, and ligament failure. New research is emerging that shows scaffold designs that can …

Epigenetic Profiling Of Cell-Free Dna In Cerebrospinal Fluid: A Novel Biomarker Approach For Metabolic Brain Diseases, Kyle Sporn, Rahul Kumar, Kiran Marla, Puja Ravi, Swapna Vaja, Phani Paladugu, Nasif Zaman, Alireza Tavakkoli

SKMC Student Presentations and Publications

Due to their clinical heterogeneity, nonspecific symptoms, and the limitations of existing biomarkers and imaging modalities, metabolic brain diseases (MBDs), such as mitochondrial encephalopathies, lysosomal storage disorders, and glucose metabolism syndromes, pose significant diagnostic challenges. This review examines the growing potential of cell-free DNA (cfDNA) derived from cerebrospinal fluid (CSF) epigenetic profiling as a dynamic, cell-type-specific, minimally invasive biomarker approach for MBD diagnosis and monitoring. We review important technological platforms and their use in identifying CNS-specific DNA methylation patterns indicative of neuronal injury, neuroinflammation, and metabolic reprogramming, including cfMeDIP-seq, enzymatic methyl sequencing (EM-seq), and targeted bisulfite sequencing. By synthesizing current …

Optimizing Stereotactic Intracranial Neoplasm Treatment: A Systematic Review Of Pet Integration With Gamma Knife Radiosurgery, Robert C. Subtirelu, Eric M. Teichner, Milo Writer, Kevin Bryan, Shiv Patil, Talha Khan, Lancelot Herpin, Raj N. Patel, Emily Christner, Chitra Parikh, Thomas Werner, Abass Alavi, Mona-Elisabeth Revheim

SKMC Student Presentations and Publications

OBJECTIVE: Traditional imaging modalities for the planning of Gamma Knife radiosurgery (GKRS) are non-specific and do not accurately delineate intracranial neoplasms. This study aimed to evaluate the utility of positron emission tomography (PET) for the planning of GKRS for intracranial neoplasms (ICNs) and the post-GKRS applications of PET for patient care.

METHODS: PubMed, Scopus, and ScienceDirect were searched in order to assemble relevant studies regarding the uses of PET in conjunction with GKRS for ICN treatment. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed to identify relevant studies on the use of PET in conjunction with …

Next-Generation Biomaterials For Load-Bearing Tissue Interfaces: Sensor-Integrated Scaffolds And Mechanoadaptive Constructs For Skeletal Regeneration, Rahul Kumar, Kyle Sporn, Pranay Prabhakar, Phani Paladugu, Akshay Khanna, Alex Ngo, Chirag Gowda, Ethan Waisberg, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

SKMC Student Presentations and Publications

Advancements in load-bearing tissue repair increasingly demand biomaterials that not only support structural integrity but also interact dynamically with the physiological environment. This review examines the latest progress in smart biomaterials designed for skeletal reconstruction, with emphasis on mechanoresponsive scaffolds, bioactive composites, and integrated microsensors for real-time monitoring. We explore material formulations that enhance osseointegration, resist micromotion-induced loosening, and modulate inflammatory responses at the bone-implant interface. Additionally, we assess novel fabrication methods-such as additive manufacturing and gradient-based material deposition-for tailoring stiffness, porosity, and degradation profiles to match host biomechanics. Special attention is given to sensor-augmented platforms capable of detecting mechanical …

Leveraging Lower Body Negative Pressure For Enhanced Outcomes In Orthopedic Arthroplasty—Insights From Nasa’S Bone Health Research, Phani Paladugu, Rahul Kumar, Tamer Hage, Swapna Vaja, Tejas Sekhar, Samuel Weisberg, Kyle Sporn, Ethan Waisberg, Joshua Ong, Amar S. Vadhera, Mouayad Masalkhi, Ryung Lee, Chirag Gowda, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

SKMC Student Presentations and Publications

Exposure to microgravity causes rapid bone loss and muscle atrophy, posing serious challenges for long-duration spaceflight. In response, NASA developed countermeasures such as Lower Body Negative Pressure (LBNP) to simulate gravitational loading on astronauts’ lower extremities. LBNP, often combined with exercise, has proven effective in mitigating musculoskeletal degradation during bed rest analogs. This opinion paper argues that LBNP’s success in preserving bone mass and muscle function in microgravity can be translated to improve re- covery after orthopedic arthroplasty on Earth. We draw physiological parallels between microgravity-induced musculoskeletal disuse and the postoperative period following total joint replacement, during which reduced weight-bearing …

Impact Of Body Mass Index On Stroke In Extracorporeal Cardiopulmonary Resuscitation: Data From The Extracorporeal Life Support Organization Registry, Jin Kook Kang, Shi Nan Feng, Winnie Liu, Jiah Kim, Andrew Kalra, Patricia Brown, Christopher Wilcox, Daniel Brodie, Steven Keller, Bo Soo Kim, Glenn Whitman, Sung-Min Cho

SKMC Student Presentations and Publications

Objective: We aimed to characterize the impact of body mass index (BMI) on stroke in patients receiving extracorporeal cardiopulmonary resuscitation (ECPR). Methods: We queried the Extracorporeal Life Support Organization registry for patients receiving ECPR (2020-2024). Patients were categorized into five BMI groups: underweight (< 18.5 kg/m²), normal weight (18.5-24.9 kg/m²), overweight (25-29.9 kg/m²), class 1 obesity (30-34.9 kg/m²), and class 2 obesity or above (≥35 kg/m²). A generalized additive model (GAM) analysis was used to identify the BMI range with the greatest stroke risk. Multivariable regression was used to compare odds of …

Applications Of Machine Learning-Driven Molecular Models For Advancing Ophthalmic Precision Medicine, Rahul Kumar, Joshua Ong, Ethan Waisberg, Ryung Lee, Tuan Nguyen, Phani Paladugu, Maria C. Rivolta, Chirag Gowda, John V. Janin, Jeremy Saintyl, Dylan Amiri, Ansh Gosain, Ram Jagadeesan

SKMC Student Presentations and Publications

Ophthalmic diseases such as glaucoma, age-related macular degeneration (ARMD), and optic neuritis involve complex molecular and cellular disruptions that challenge current diagnostic and therapeutic approaches. Advanced artificial intelligence (AI) and machine learning (ML) models offer a novel lens to analyze these diseases by integrating diverse datasets, identifying patterns, and enabling precision medicine strategies. Over the past decade, applications of AI in ophthalmology have expanded from imaging-based diagnostics to molecular-level modeling, bridging critical gaps in understanding disease mechanisms. This paper systematically reviews the application of AI-driven methods, including reinforcement learning (RL), graph neural networks (GNNs), Bayesian inference, and generative adversarial networks …

Radiomics-Based Machine Learning With Natural Gradient Boosting For Continuous Survival Prediction In Glioblastoma, Mert Karabacak, Shiv Patil, Zachary C. Gersey, Ricardo J. Komotar, Konstantinos Margetis

SKMC Student Presentations and Publications

(1) Background: Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, with an aggressive disease course that requires accurate prognosis for individualized treatment planning. This study aims to develop and evaluate a radiomics-based machine learning (ML) model to estimate overall survival (OS) for patients with GBM using pre-treatment multi-parametric magnetic resonance imaging (MRI). (2) Methods: The MRI data of 865 patients with GBM were assessed, comprising 499 patients from the UPENN-GBM dataset and 366 patients from the UCSF-PDGM dataset. A total of 14,598 radiomic features were extracted from T1, T1 with contrast, T2, and FLAIR MRI sequences …

Digital Education On Hospital Nutrition Diets: What Do Patients Want To Know?, Neha Gutta, Som Singh, Dharti Patel, Aleena Jamal, Fawad Qureshi

SKMC Student Presentations and Publications

INTRODUCTION: Therapeutic nutrition plays an imperative role during a patient's hospital course. There is a tremendous body of literature that emphasizes the systematic delivery of information regarding hospital nutrition diets. A major component of delivering healthcare information is the principle of providing quality healthcare information, but this has not yet been investigated on hospital nutrition diets. This study aimed to evaluate the comprehension and readability of patient education materials regarding therapeutic hospital diets.

METHODOLOGY: The methodology employed the use of publicly available questions regarding hospital nutrition diets and categorized them per Rothwell's Classification of Questions. Additionally, the questions were extracted …