Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
An important focus of studies of individuals at ultra-high risk (UHR) for psychosis has been to iden...
BACKGROUND: Several robotic devices have been proposed for upper limb rehabilitation, but they diffe...
The current test systems employed by pharmaceutical industry are poorly predictive for drug-induced ...
BACKGROUND: Stroke rehabilitation in low- and middle-income countries, such as Mexico, is often hamp...
The present work deals with the development of a new baseline correction method based on the compara...
The natural compliance and force generation properties of pneumatic artificial muscles (PAMs) allow ...
BACKGROUND: Protein secondary structure prediction (SSP) has been an area of intense research intere...
This study introduces a novel learning algorithm for spiking neurons, called CCDS, which is able to ...
BACKGROUND: Over 50% of patients with symptomatic heart failure (HF) experience HF with preserved ej...
Supervised machine learning methods typically require splitting data into multiple chunks for traini...
Series elastic actuation that takes inspiration from biological muscle-tendon units has been extensi...
Success in extracting biological relationships is mainly dependent on the complexity of the task as ...
We investigated whether untriggered neuromuscular electrical stimulation (NMES) can increase the eff...
BACKGROUND: Robotic training is commonly used to assist walking training in patients affected by mul...
Artificial neural networks (ANNs) are powerful computational tools that are designed to replicate th...
In this study, we developed and validated a fast, specific, sensitive, precise and stability-indicat...
The assessment of sensorimotor functions is extremely important to understand the health status of a...
Weight elimination offers a simple and efficient improvement of training algorithm of feedforward ne...
Many stroke patients suffer from the drop foot syndrome, which is characterized by a limited ability...
In this paper, we predict air pollutant concentration using a feedforward artificial neural network ...
Using macrophage recruitment in tumors, we develop active, transportable, cancer theragnostic macrop...