Equipment and Supplies Commons^™

Use Of A Shoulder-Mounted Wearable Sensor Prototype Designed To Detect Opioid-Related Overdose: A Qualitative User Experience Study, Alexis M. Roth, Ally K. D'Angelo, David Gordon, Benjamin Cocchiaro, Anush Lingamoorthy, Rose Laurano, Matthew Salzman, Jacob S. Brenner, Cameron Baston

SKMC Student Presentations and Publications

BACKGROUND: For over a decade, drug overdose has been the leading cause of injury and accidental death in the United States. Most fatal overdoses involve opioids and occur during solitary drug use events when no one is available to initiate lifesaving responses (eg, naloxone). While there is a growing interest in devices providing early overdose detection and automated responses, little research has engaged end users in a device design process.

OBJECTIVE: This study aimed to describe user experience, perceived harms and benefits, and the acceptability of a shoulder-mounted wearable sensor among people who inject drugs who wore a device prototype …

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 …

Comparison Between Maia And Mp-3 In Healthy Subjects And Patients With Diabetes, Diabetic Retinopathy, And Age-Related Macular Degeneration, Anna Marmalidou, Haleema Siddiqui, Muhammad Usman Jamil, Kwang Min Woo, Antonio Yaghy, A. Yasin Alibhai, Hiroyuki Takahashi, Stephanie Kaiser, Keith Effert, Peter Zhao, Shilpa Desai, Christopher Robinson, Jay Duker, Nadia Waheed

SKMC Student Presentations and Publications

PURPOSE: The purpose of this study was to assess the comparability of mean sensitivity (MS) values obtained using the Macular Integrity Assessment (MAIA; CenterVue S.p.A. [iCare], Padova, Italy) and Microperimeter-3 (MP-3; NIDEK CO., Ltd., Gamagori, Japan) microperimetry (MP) devices.

METHODS: This cross-sectional study includes subjects with healthy eyes, eyes with diabetes mellitus without diabetic retinopathy (DM no DR), diabetic retinopathy (DR), and non-exudative age-related macular degeneration (AMD). Patients underwent testing on both MAIA and MP-3 MP devices, using a 10-2 macular grid with 68 stimuli and identical parameters. A diagnosis-adjusted linear regression model and mixed modeling mapped MP-3 MS to …

Leveraging Generative Artificial Intelligence Models In Patient Education On Inferior Vena Cava Filters, Som Singh, Aleena Jamal, Farah Qureshi, Rohma Zaidi, Fawad Qureshi

SKMC Student Presentations and Publications

Background: Inferior Vena Cava (IVC) filters have become an advantageous treatment modality for patients with venous thromboembolism. As the use of these filters continues to grow, it is imperative for providers to appropriately educate patients in a comprehensive yet understandable manner. Likewise, generative artificial intelligence models are a growing tool in patient education, but there is little understanding of the readability of these tools on IVC filters. Methods: This study aimed to determine the Flesch Reading Ease (FRE), Flesch–Kincaid, and Gunning Fog readability of IVC Filter patient educational materials generated by these artificial intelligence models. Results: The ChatGPT cohort had …