Latest AI and machine learning research in medicaid for healthcare professionals.
This paper focuses on design, fabrication and characterization of a biomimetic, compact, low-cost an...
Plasmonic sensors have been used for a wide range of biological and chemical sensing applications. E...
OBJECTIVES: To compare the physiology of apneic oxygenation with low-tidal-volume (VT) ventilation d...
BACKGROUND AND OBJECTIVES: Prior studies indicate that up to 35% of cases of severe aortic stenosis ...
PURPOSE: Limited research has evaluated the independent and additive associations of moderate-to-vig...
BACKGROUND: Hypertonic dextrose injection (prolotherapy) is reported to reduce pain including non-su...
A nanodevice comprising human serum (HS) protein corona coated gold nanorods (NRs) has been develope...
Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide. Although polypectomy at early...
AIM: The adequacy of 50 mcg folic acid supplementation given to low-birth-weight babies was investig...
Sensitive detection of heavy metal ions in water is of great importance considering the effects that...
PURPOSE: This work presents the application of a machine learning (ML) algorithm to automatically ge...
BACKGROUND: Next-generation sequencing (NGS) allows unbiased, in-depth interrogation of cancer genom...
A fibre actuator that generates a large strain with high specific power represents a promising strat...
Motor imagery electroencephalography (EEG) has been successfully used in locomotor rehabilitation pr...
INTRODUCTION AND OBJECTIVES: To assess the predictive value of atrial natriuretic peptide, β-type na...
OBJECTIVE: Robot-assisted rectal surgery is gaining popularity, and robotic single-site surgery is a...
Recovering the low-rank, sparse components of a given matrix is a challenging problem that arises in...
This article describes a methodology to recognize emotional states through an electroencephalography...
This paper, presents an inertial and magnetic sensor based technological platform, intended for arti...
We study emerging phenomena in binary neural networks where, with a probability c synaptic intensiti...
BACKGROUND: Indications for the primary prevention of sudden death using an implantable cardioverter...