Computer simulations based on detailed musculoskeletal models reproduce human walking under varied conditions such as incline, load, and speed. By comparing these simulations to experimental gait data, we assess how well they predict real movement and metabolic energy use. The simulations accurately capture overall gait patterns but underestimate metabolic cost—particularly during energetically demanding tasks like uphill walking—due to overly efficient metabolic modeling and overestimated muscle fiber work. Improving these models in the future may help develop more effective assistive devices and therapies for people with movement difficulties. Afschrift et al. 2025
Image Credit: Maarten Afschrift
Education Articles
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Perspective
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Research Articles
Branch-specific gene discovery in cell differentiation using multi-omics graph attention
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Surrogate modeling of Cellular-Potts agent-based models as a segmentation task using the U-Net neural network architecture
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Improving the accuracy of automated labeling of specimen images datasets via a confidence-based process
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Stimulus-to-stimulus learning in RNNs with cortical inductive biases
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OneProt: Towards multi-modal protein foundation models via latent space alignment of sequence, structure, binding sites and text encoders
PLOS Computational Biology: published November 13, 2025 | https://doi.org/10.1371/journal.pcbi.1013679
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PLOS Computational Biology: published November 14, 2025 | https://doi.org/10.1371/journal.pcbi.1013713
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Trial-by-trial learning of successor representations in human behavior
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Clinical progression parameters associated with SARS-CoV-2, influenza, and respiratory syncytial virus infections in a large US integrated healthcare population
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Real-time forecasting of data revisions in epidemic surveillance streams
PLOS Computational Biology: published November 20, 2025 | https://doi.org/10.1371/journal.pcbi.1013709
How cortico-basal ganglia-thalamic subnetworks can shift decision policies to increase reward rate
PLOS Computational Biology: published November 20, 2025 | https://doi.org/10.1371/journal.pcbi.1013712
Unlocking plant health survey data: An approach to quantify the sensitivity and specificity of visual inspections
PLOS Computational Biology: published November 20, 2025 | https://doi.org/10.1371/journal.pcbi.1012957
CrossLabFit: A novel framework for integrating qualitative and quantitative data across multiple labs for model calibration
PLOS Computational Biology: published November 20, 2025 | https://doi.org/10.1371/journal.pcbi.1013704
Multi-physics modeling for ion homeostasis in multi-compartment plant cells using an energy function
PLOS Computational Biology: published November 20, 2025 | https://doi.org/10.1371/journal.pcbi.1013474
Nash equilibrium of attack and defense behaviors between predators and prey
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Protein drift-diffusion in membranes with non-equilibrium fluctuations arising from gradients in concentration or temperature
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Universal scale-free representations in human visual cortex
PLOS Computational Biology: published November 21, 2025 | https://doi.org/10.1371/journal.pcbi.1013714
Parameterization of cell-free systems with time-series data using KETCHUP
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Emergence of sparse coding, balance and decorrelation from a biologically-grounded spiking neural network model of learning in the primary visual cortex
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Federated learning for COVID-19 mortality prediction in a multicentric sample of 21 hospitals
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Prediction of graft loss in living donor liver transplantation during the early postoperative period
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TransMarker: Unveiling dynamic network biomarkers in cancer progression through cross-state graph alignment and optimal transport
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T-shaped alignments integrating HIV-1 near full-length genome and partial pol sequences can improve phylogenetic inference of transmission clusters
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Lipid-driven alignment and binding of p7 dimers in early oligomer assembly
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Linking multiple serological assays to infer dengue virus infections from paired samples using mixture models
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Candidate correlates of protection in the HVTN505 HIV-1 vaccine efficacy trial identified by positive-unlabeled learning
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Multiscale modelling shows how cell-ECM interactions impact ECM fibre alignment and cell detachment
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Corrections
Correction: Facilitating the propagation of spiking activity in feedforward networks by including feedback
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Methods
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Software
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miRScore: A rapid and precise microRNA validation tool
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Automated and modular protein binder design with BinderFlow
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