J. L. Hicks

Hamstrings are stretched more and faster during accelerative running compared to speed-matched constant speed running

This study compares hamstring mechanics during accelerative and constant speed running, finding greater muscle-tendon lengths and lengthening velocities during acceleration.

AddBiomechanics: Automating model scaling, inverse kinematics, and inverse dynamics from human motion data through sequential optimization

AddBiomechanics automates biomechanical analysis of human motion data, reducing processing time from days to minutes and achieving accuracy comparable to manual methods.

Chromogenic detection of telomere lengths in situ aids the identification of precancerous lesions in the prostate

This paper introduces a chromogenic in situ hybridization method to measure telomere lengths in prostate tissues, aiding in the identification of precancerous lesions.

How Connecting the Legs with a Spring Improves Human Running Economy

This study uses simulations to show that a spring connecting legs reduces energy expenditure during running by decreasing mechanical work and heat production in multiple muscle groups.

MYC-driven increases in mitochondrial DNA copy number occur early and persist throughout prostatic cancer progression

The paper develops a method to spatially quantify mitochondrial DNA copy number in cancer tissues and finds increased mtDNAcn in prostate cancer progression, linked to MYC activity.

Rapid bilevel optimization to concurrently solve musculoskeletal scaling, marker registration, and inverse kinematic problems for human motion reconstruction

This paper introduces a rapid bilevel optimization method to automate motion capture data processing, reducing manual effort and improving accuracy in biomechanical analysis.

OpenCap: 3D human movement dynamics from smartphone videos

OpenCap provides an open-source platform to compute human movement dynamics from smartphone videos, enabling accurate prediction of biomechanical metrics at lower cost and faster speed than traditional methods.

Coupled exoskeleton assistance simplifies control and maintains metabolic benefits: a simulation study

This study evaluates multi-joint exoskeleton assistance using simulations, finding that coupled control strategies achieve similar metabolic savings to independent control with simpler designs.

An open-source and wearable system for measuring 3D human motion in real-time

The paper introduces OpenSenseRT, an open-source wearable system for real-time 3D motion tracking, showing it is accurate and cost-effective compared to optical motion capture.

Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation

This paper reviews neuromechanical simulations and reinforcement learning for human locomotion, presents a competition to advance the field, and highlights achievements in simulating complex movements.

The Effects of Motor Modularity on Performance, Generalizability and Learning in Upper-Extremity Reaching: a Computational Analysis

This study investigates whether motor synergies improve performance, learning, and generalizability in upper-extremity reaching tasks using a computational model.

An in situ atlas of mitochondrial DNA in mammalian tissues reveals high content in stem/progenitor cells

The paper creates an in situ atlas of mitochondrial DNA in mammalian tissues, revealing higher mtDNA content in stem/progenitor cells and age-related decreases in renal tubules.

OpenSim Moco: Musculoskeletal optimal control

The paper introduces OpenSim Moco, a software toolkit for musculoskeletal optimal control, demonstrating its ability to solve motion tracking, prediction, and device design problems.

Predicting gait adaptations due to ankle plantarflexor muscle weakness and contracture using physics-based musculoskeletal simulations

The paper uses physics-based musculoskeletal simulations to predict gait adaptations caused by ankle plantarflexor muscle weakness and contracture, revealing heel-walking and toe-walking patterns under severe deficits.