Latest AI and machine learning research in universal precautions for healthcare professionals.
See also the editorial by Nikolic in this issue.
Computational approaches are emerging as powerful tools for the discovery of antibiotics. A study no...
BACKGROUND: Although many drug regimens have been used in the treatment of human immunodeficiency vi...
Intravital microscopy in small animals growingly contributes to the visualization of short- and long...
Creating haptic interface by glove-based wearable robotic system has become an increasingly interest...
CRISPR/Cas9 (Clustered Regularly Interspaced Short Palindromic Repeats and CRISPR-associated protein...
Several limitations in algorithms and datasets in the field of X-ray security inspection result in t...
One of the most dynamic approaches in biotechnology is reverse vaccinology, which plays a huge role ...
Neural network-based inverse lithography technology (NNILT) has been used to improve the computation...
This paper presents a learning-based method for source localization in the presence of directional i...
MOTIVATION: Knowing the sensitivity of a viral strain versus a monoclonal antibody is of interest fo...
Bacteria, especially foodborne pathogens, seriously threaten human life and health. Rapid discrimina...
Multimodal brain networks characterize complex connectivities among different brain regions from bot...
Host-pathogen protein interactions (HPPIs) play vital roles in many biological processes and are dir...
BACKGROUND: Automated radiologic analysis using computer-aided detection software (CAD) could facili...
A mask-based lensless camera optically encodes the scene with a thin mask and reconstructs the image...
Plasmids are mobile genetic elements that play a key role in microbial ecology and evolution by medi...
Antibodies specifically bind to antigens and are an essential part of the immune system. Hence, anti...
MOTIVATION: Protein-protein interaction (PPI), as a relative property, is determined by two binding ...
Antibiotic resistance constitutes a global threat and could lead to a future pandemic. One strategy ...
This study aims to develop a deep learning (DL)-based (Mask R-CNN) method to predict the internal ta...