Landon D. Hamilton

Papers

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About

Landon D. Hamilton is a rising leader in computational orthopedics and biomechanics, pioneering the development of subject-specific digital twins of the living knee. His research addresses a critical gap: while computational models are essential for understanding pathology and predicting surgical outcomes, they have historically relied on cadaveric data, limiting their clinical relevance. Hamilton’s major contribution is the creation and validation of novel methodologies to calibrate knee models using *in vivo* measurements. His landmark 2021 paper, "Apparatus for In Vivo Knee Laxity Assessment Using High-Speed Stereo Radiography" (14 citations), introduced a cutting-edge imaging apparatus that captures dynamic knee motion in living subjects. Building on this, his 2024 and 2025 validation studies (5 combined citations) directly demonstrate how to calibrate subject-specific models against this live data, moving the field beyond cadaver-based assumptions. By tackling the "input data" problem—how modeling decisions are constrained by measurement limitations—Hamilton is laying the groundwork for true clinical digital twins, where a patient’s unique knee mechanics can be simulated to optimize surgical planning and rehabilitation. His work is essential reading for anyone interested in the future of personalized orthopedics.