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Full-Text Articles in Other Biomedical Engineering and Bioengineering

Modeling Structural Support To Facilitate Novel Treatments Of Degenerative Disc Disease, Jose Luis Calderon May 2026

Modeling Structural Support To Facilitate Novel Treatments Of Degenerative Disc Disease, Jose Luis Calderon

Poster Presentations

Over 600 million people worldwide suffered from low back pain in 2020, with projections for 2050 being over 800 million [1]. Annual costs associated with low back pain total over 450 billion dollars in the US alone [2]. This research serves as a proof-of-concept for the use of structural supports to facilitate intervertebral disc healing. This treatment would involve the implementation of these supports along with existing injection treatments to promote regeneration. In both models, along with the combined model, the ability for these supports to alleviate intervertebral disc height loss is shown. This indicates that these supports would serve …


Development Of An Automated Platform For Cell Biology Experiments, Dipendra Nepal Mar 2026

Development Of An Automated Platform For Cell Biology Experiments, Dipendra Nepal

Shelby Hall Graduate Research Forum Posters

Cell biology experiments involve repetitive tasks such as pipetting, sample preparation, and imaging, which are typically performed manually. These manual processes can introduce variability, reduce efficiency, and increase the cost of biomedical research. To address these challenges, our lab is developing a modular robotic platform, iEye™, to automate key steps in cell biology workflows [1]. The system is designed as self-contained modules, allowing flexible development and integration of different functionalities. In this work, we focus on a sample preparation module that integrates a 6-degree-of-freedom robotic arm, a motorized stage, and a pneumatic pipetter. This module is being developed to automate …


Unified Adaptive Cross-Attention Multimodal Network, Mahesh Sunuwar Mar 2025

Unified Adaptive Cross-Attention Multimodal Network, Mahesh Sunuwar

Shelby Hall Graduate Research Forum Posters

Accurately diagnosing appendicitis remains a significant challenge in emergency medicine due to its varied clinical presentation and overlap with other abdominal conditions. Existing diagnostic models often rely on unimodal data, such as computed tomography (CT) images or clinical notes, limiting their ability to capture the full complexity of patient information. This study proposes a novel multimodal framework, a Unified Adaptive Cross-Attention Multimodal Framework (u-ACM), that integrates CT images and clinical notes using hybrid fusion strategies to improve diagnostic accuracy for appendicitis. The u-ACM leverages adaptive contextual filtering to dynamically remove irrelevant features, crossattention mechanisms to align features between modalities, and …