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Intelligent Biomechanics Lab

The Intelligent Biomechanics Lab, where biomechanics meets artificial intelligence.

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Our Activities

Our Core Lab Activities

In the Intelligent Biomechanics Lab, we combine tissue experiments, medical imaging, and computational modeling to understand how the stomach and GI tract move, deform, and function.

Lei Shi photograph of a woman
Welcome to the Intelligent Biomechanics Lab

Guided by Science.
Inspired by Patients.

The Intelligent Biomechanics Lab brings together engineering, medical imaging, and computation to understand how the stomach and gastrointestinal (GI) tract move and function. By combining tissue experiments, clinical data, and digital modeling, we aim to create patient-specific “digital twins” that help reveal subtle changes in GI health and support better diagnosis and treatment.

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  • From Small Beginnings

    The Intelligent Biomechanics Lab began with a simple question on KSU’s Marietta campus: why can two stomachs look the same, yet behave so differently? Dr. Shi founded the lab to bridge biomechanics, imaging, and medicine in order to answer that question with quantitative, patient-specific models.

    What started as a small group running tissue tests and building early simulations has grown into an interdisciplinary team working closely with clinical collaborators at Emory University. As our tools and models advance, so does our vision—to turn careful experiments, rigorous computation, and collaborative science into insights that can one day improve care for people with GI disorders.

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Percision Testing & Modeling

Accurate Models Don’t Happen by Accident

We combine carefully controlled experiments, advanced instruments like the Instron Biopuls system, and rigorous computational methods to capture how the stomach and GI tract actually behave. Every data point feeds into more realistic digital twins and deeper insight into GI function.

How we work:

High-quality science starts with careful planning, attention to detail, and consistent methods. In the Intelligent Biomechanics Lab, we design each study around clear clinical questions, prepare and test tissue under physiologically relevant conditions, and link experimental results directly to our computational models. From the first specimen in the biobath to the final simulation run, we focus on reproducibility, transparency, and meaningful impact.

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Research-Driven Results

Every conclusion we draw is grounded in quantitative experiments, clinical data, and rigorous analysis.
Process

Inside Our Biomechanical Testing Process

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  • 01

    Specimen Preparation

    We carefully prepare each tissue specimen by defrosting it under controlled conditions, gently cleaning it, and trimming away unnecessary material so that only the region of interest remains. Once prepared, the sample is ready for accurate mechanical testing.

  • 02

    Mounting & Equilibration

    The specimen is mounted in the Instron Biopuls biobath using specialized clamps that hold it securely without damaging the tissue. We then allow the sample to rest and acclimate to the temperature and solution so it reaches a stable, physiological-like state before testing begins.

  • 03

    System & Data Setup

    While the tissue equilibrates, we configure the testing software and connected computers to record force, displacement, and other key signals. Test parameters, protocols, and metadata are entered to ensure consistent, high-quality data collection.

  • 04

    Experiment Run

    With the system ready and the specimen stabilized, we start the experiment. The Instron applies controlled loading to the tissue while our system continuously records the response, generating the mechanical data that feeds into our models and digital twins.

FAQ’s

Frequently Asked Questions

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  • We study how the stomach and gastrointestinal (GI) tract move and function by combining tissue biomechanics, medical imaging, and computational modeling. Our goal is to build patient-specific “digital twins” of the stomach that simulate both its mechanical behavior and electrical activity.

  • A digital twin is a virtual model of a real organ. In our lab, a stomach digital twin combines: 3D geometry from imaging, tissue mechanical properties from lab testing, electrical and pressure data from clinical recordings. Together, these let us simulate how a person’s stomach actually moves and responds under different conditions.

  • We integrate multiple types of data, including: CT scans and endoscopy images to capture the shape and structure of the stomach, manometry data to measure pressure and deformation in the stomach and esophagus, biomechanical tests (like tensile and biaxial testing using systems such as Instron Biopuls) to determine tissue stiffness and elasticity.

  • We work in collaboration with physicians at Emory University, who provide clinical data such as imaging and manometry recordings. By building digital twins that reflect actual patient anatomy and function, our models can help detect subtle changes that might be overlooked by standard diagnostic tools and may one day assist in planning treatments for GI disorders.

  • Our lab uses a mix of experimental and computational tools, including: Biomechanical testing equipment (e.g., Instron Biopuls biobath systems), 3D modeling and simulation software for tissue and organ mechanics, signal processing for pressure and electrical activity data, machine learning methods to speed up analysis and prediction.

  • We welcome motivated undergraduate and graduate students from fields such as mechanical engineering, biomedical engineering, electrical engineering, computer science, and related areas. Students can work on everything from hands-on tissue testing to 3D modeling, coding, and data analysis. Prior experience is helpful but not always required—curiosity and willingness to learn are just as important.

  • Our long-term vision is to expand beyond the stomach and build digital twins of the entire GI tract, from the esophagus to the intestines, and to study how it interacts with other systems such as the brain–gut axis. We aim to create tools that can support clinicians in diagnosing GI disorders, predicting treatment outcomes, and personalizing care for individual patients.