Latest AI and machine learning research in risk management for healthcare professionals.
The human carboxylesterase 1 (CES1), responsible for the biotransformation of many diverse therapeut...
It has been demonstrated that MMP13 enzyme is related to most cancer cell tumors. The world's larges...
Magnetic resonance imaging (MRI) is a flexible medical imaging modality that often lacks reproducibi...
INTRODUCTION: Asthma is a long-term condition with rapid onset worsening of symptoms ('attacks') whi...
Intelligent image-activated cell sorting (iIACS) is a machine-intelligence technology that performs ...
In order to obtain the information of the vehicle tags in adverse traffic conditions, we proposed a ...
The hybrid assistive limb (HAL) provides motion assistance based on bioelectrical signals detected o...
OBJECTIVE: Virtual reality simulators track all movements and forces of simulated instruments, gener...
Wart disease (WD) is a skin illness on the human body which is caused by the human papillomavirus (H...
With the advent of convolutional neural networks (CNN), supervised learning methods are increasingly...
INTRODUCTION: Left ventricular ejection fraction (LVEF) ≤35%, as current significant implantable car...
The increasingly realistic prospect of artificial intelligence (AI) playing an important role in rad...
Radiologists are expected to expediently communicate critical and unexpected findings to referring c...
Artificial intelligence (AI) software that analyzes medical images is becoming increasingly prevalen...
In this paper, we discuss the consensus problem of non-linear multi-agent systems where an impulsive...
Blood-based diagnostics tests, using individual or panels of biomarkers, may revolutionize disease d...
Specialty crop herbicides are not a priority for the agrochemical industry, and many of these crops ...
The cytokinesis-block micronucleus (CBMN) assay has become a fully-validated and standardized method...
The advancement of synthetic biology requires the ability to create new DNA sequences to produce uni...
BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is th...
As capabilities of predictive algorithms improve, machine learning will become an important element ...