Ovarian Cancer-Specific BRCA-like Copy-Number Aberration Classifiers Detect Mutations Associated with Homologous Recombination Deficiency in the AGO-TR1 Trial

The Cortical Response Evoked by Robotic Wrist Perturbations Reflects Level of Proprioceptive Impairment After Stroke

ASH: an Automatic pipeline to generate realistic and individualized chronic Stroke volume conduction Head models

Neurophysiological validation of simultaneous intrinsic and reflexive joint impedance estimates

Multisine frequency modulation of intra-epidermal electric pulse sequences: A novel tool to study nociceptive processing

Combining ultrafast ultrasound and high-density EMG to assess local electromechanical muscle dynamics: a feasibility study

Realization of a multinode quantum network of remote solid-state qubits

Directionality of corticomuscular coupling in essential tremor and cortical myoclonic tremor

Theta but not beta power is positively associated with better explicit motor task learning

Quantifying the nonlinear interaction in the nervous system based on phase-locked amplitude relationship

Statistical models for improving significant wave height predictions in offshore operations

Distinct cortical activity patterns in Parkinson's disease and essential tremor during a bimanual tapping task

Estimating ankle torque and dynamics of the stabilizing mechanism: No need for horizontal ground reaction forces

Multiplexed quantum transport using commercial off-the-shelf CMOS at sub-kelvin temperatures

Postural control learning dynamics in Parkinson's disease: early improvement with plateau in stability, and continuous progression in flexibility and mobility

The dynamic response of the bicycle rider’s body to vertical, fore-and-aft, and lateral perturbations

Using scaffolding to formalize digital coach support for low-literate learners

Artificial intelligence and thermodynamics help solving arson cases

Deficits in tapping accuracy and variability in tremor patients

Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification