Latest AI and machine learning research in hepatitis for healthcare professionals.
To develop a combinatorial artificial-neural-network design-of-experiment (ANN-DOE) model, the effec...
Discrete time-variant nonlinear optimization (DTVNO) problems are commonly encountered in various sc...
In this proof-of-principle study, we systematically studied the potential of Raman spectroscopy for ...
Magnetic resonance imaging and computed tomography from multiple batches (e.g. sites, scanners, data...
The gaining importance of Targeted Protein Degradation (TPD) and PROTACs (PROteolysis-TArgeting Chim...
The paper proposes a methodology based on Natural Language Processing (NLP) and Sentiment Analysis (...
Liver cancer is one of the most frequently diagnosed and fatal cancers worldwide, with hepatocellula...
Despite the advancements in the diagnosis of early-stage cirrhosis, the accuracy in the diagnosis us...
Deep learning has led to incredible breakthroughs in areas of research, from self-driving vehicles t...
OBJECTIVE: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation techni...
BACKGROUND: Bone age is the age of skeletal development and is a direct indicator of physical growth...
BACKGROUND: Infectious diseases are a major threat to public health, causing serious medical consump...
Basal ganglia (BG) are a widely recognized neural basis for action selection, but its decision-makin...
Cone-beam CT (CBCT)-based online adaptive radiotherapy calls for accurate auto-segmentation to reduc...
The Sediment Delivery Model explains experimental analysis and quantitative assessment of the powder...
OBJECTIVE: To develop and investigate a deep learning model with data integration of ultrasound cont...
PURPOSE: To evaluate the accuracy of a deep learning-based computer-aided detection (CAD) system in ...
Many bioactive peptides demonstrated therapeutic effects over complicated diseases, such as antivira...
. The image reconstruction of ultrasound computed tomography is computationally expensive with conve...
In many functional magnetic resonance imaging (fMRI) studies, respiratory signals are unavailable or...
Residential carbon emissions are one of the critical causes of climate problems such as global warmi...