Latest AI and machine learning research in universal precautions for healthcare professionals.
Artur Yakimovich works in the field of computational virology and applies machine learning algorithm...
In the current work, the attempt was made to apply best-fitted artificial neural network (ANN) archi...
Hepatitis B surface antigen (HBsAg) seroclearance during treatment is associated with a better progn...
BACKGROUND: Soft materials, with their compliant properties, enable conformity and safe interaction ...
Machine learning continues to make strident advances in the prediction of desired properties concern...
The deep learning models especially the CNN have achieved amazing performance on natural image retri...
Guanabara Bay is a tropical estuarine ecosystem that receives massive anthropogenic impacts from the...
The large-scale identification of protein-protein interactions (PPIs) between humans and bacteria re...
KIRO® Oncology (Kiro Grifols, Spain) is a robotic system for automated compounding of sterile inject...
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical elem...
Digital pathology and microscope image analysis is widely used in comprehensive studies of cell morp...
BACKGROUND: Reinforcement learning (RL) provides a promising technique to solve complex sequential d...
Machine learning (ML) is a field of artificial intelligence that has rapidly emerged in molecular bi...
INTRODUCTION: Diagnosis of chronic hepatitis B virus (HBV) infection particularly its occult form re...
Machine learning (ML) encompasses statistical methods that learn to identify patterns in complex dat...
PURPOSE: This work presents our contribution to a data challenge organized by the French Radiology S...
Soft robotic hand/gloves for hand rehabilitation can aid the performance of activities of daily livi...
The incidence of alcohol use disorder (AUD) in human immunodeficiency virus (HIV) infection is twice...
The human immunodeficiency virus (HIV) causes over a million deaths every year and has a huge econom...
Spectrophotometric analysis method based on artificial neural network (ANN), partial least squares r...
We present a statistical inference model for the detection and characterization of outbreaks of hosp...