Latest AI and machine learning research in universal precautions for healthcare professionals.
is a major foodborne pathogen causing serious illnesses. In this study, a new lytic bacteriophage S...
Simple diagnostic tests for nucleic acid targets can provide great advantages for applications such ...
Successfully addressing the complex global sanitation problem is a massive undertaking. Anaerobic di...
BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) c...
Most of the food consumed worldwide is produced by plants. Plant disease is a major cause of reduced...
Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to global publi...
BACKGROUND: In 2018, the Public Health Agency of Canada (PHAC) published a systematic review to calc...
ZHX2 plays a crucial role in host immunity and modulates hepatitis B virus (HBV) replication. Howeve...
The increase of available large clinical and experimental datasets has contributed to a substantial ...
To characterize the mechanisms governing the diffusion of particles in biological scenarios, it is e...
Drug-induced liver injury (DILI) presents significant diagnostic challenges, and recently artificial...
Plant pathogens cause severe losses to agricultural yield worldwide. Tracking plant health and early...
Protein binding site prediction is an important prerequisite task of drug discovery and design. Whil...
In order to enhance the mitigation of crack occurrence and propagation within basement concrete stru...
BACKGROUND: Machine learning models are not in routine use for predicting HIV status. Our objective ...
The effector repertoire of a pathogen is dynamically evolving. However, the effector translocation m...
Adapted plant pathogens from various microbial kingdoms produce hundreds of unrelated small secreted...
Salmonella is a common food-borne pathogen with Enteritidis and Typhimurium being among the most imp...
Breast ultrasound (BUS) image classification in benign and malignant classes is often based on pre-t...
Semi-supervised learning aims to train a high-performance model with a minority of labeled data and ...
BACKGROUND/AIMS: The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is p...