Latest AI and machine learning research in sports medicine for healthcare professionals.
Bacteriophage therapy offers a potential route to treat antibiotic-resistant Klebsiella pneumoniae infections, but its use is limited by the narrow specificity of phage-host interactions. In Klebsiella, adsorption is largely determined by receptor-binding proteins (RBPs) that recognize bacterial capsular polysaccharides, yet current machine learning approaches often represent whole phages rather t...
Accurate in vivo prediction of neuropathology is critical for advancing diagnosis and treatment of Alzheimer's disease and related dementias (ADRDs). As many individuals with ADRDs have mixed pathologies ({beta}-amyloid, pathologic tau, cerebrovascular disease, vascular brain injury, pathologic TDP-43, hippocampal sclerosis, Lewy bodies), there is interest in determining how accurately we can infe...
The rise of antibiotic-resistant bacterial infections has driven renewed interest in bacteriophage therapy, where viruses that specifically kill bacte...
Brain-state-guided and closed-loop transcranial magnetic stimulation (TMS) protocols have emerged as methods for decreasing the variability and increa...
Approximately 30-40% of stroke patients retain aphasia at 12 months. Early forecasting may guide rehabilitation and prognostic enrichment of clinical ...
Cardiac rehabilitation is critical for secondary prevention, yet long-term adherence remains low. We present CUOREMA, a new personalized mobile health...
The mechanical behavior of right ventricular (RV) myocardium is governed by its anisotropic microstructure, yet constitutive models that account for f...
ABSTRACT Background The clinical assessment of knee stability after an Anterior Cruciate Ligament (ACL) injury is routinely conducted via operator-dep...
Repairing damaged tissues is essential for the survival of all organisms. In plants, tissue injury rapidly triggers defense and repair programs. Howev...
Motor imagery electroencephalography (MI-EEG) decoding offers a non-invasive route for post-stroke rehabilitation, but cross-patient use remains diffi...
Background: People with Multiple Long-Term Conditions (MLTC) experience higher rates of organ failure and death following cardiac surgery. The aim of ...
At-home physiotherapy compliance remains critically low due to a lack of personalized supervision and dynamic feedback. Existing digital health soluti...
Animals rely on associative spatial memory to navigate toward previously learned, reward-associated goals. This reward-guided navigation is supported ...
Radiotherapy-induced normal tissue injury is a clinically important complication, and accurate segmentation of injury regions from medical images coul...
Biological neural networks are characterized by short average path lengths, high clustering, and modular and hierarchical architectures. These complex...
Abstract Background: Cardiovascular disease is the leading cause of mortality in Nigeria and across sub-Saharan Africa, with rising incidence attribut...
As plots play a critical role in modern data visualization and analysis, Plot2API is launched to help non-experts and beginners create their desired p...
Tendon-driven aerial continuum manipulators (TD-ACMs) combine the maneuverability of uncrewed aerial vehicles (UAVs) with the compliance of lightweigh...
Training physical neural networks directly in matter remains difficult because most platforms do not implement weight storage and weight update within...
Antimicrobial resistance poses a critical global health threat. For many bacterial infections, such as bacteremia, treatment can fail due to the time ...