Latest AI and machine learning research in covid-19 for healthcare professionals.
Therapeutic antibody design has garnered widespread attention, highlighting its interdisciplinary im...
Genetic variants (GVs) are defined as differences in the DNA sequences among individuals and play ...
The age estimation task aims to use facial features to predict the age of people and is widely use...
Protein methylation is a form of post-translational modifications of protein, which is crucial for v...
Accurate and reliable Magnetic Resonance Imaging (MRI) analysis is particularly important for adap...
Referring Expression Segmentation (RES) aims to provide a segmentation mask of the target object i...
MOTIVATION: Identifying the binding sites of antibodies is essential for developing vaccines and syn...
Rotator cuff tendon tears, the most common shoulder injuries, are typically diagnosed mainly through...
We propose an ambulation assessment platform in healthcare that employs a deep neural network for bo...
This paper presents a deep learning model that can classify COVID-19 patients through cough sounds. ...
Artificial intelligence offers great potential to address the need for rapid diagnostic testing in p...
The Parallel Continuum Robot (PCR) is an emerging class of soft robotics distinguished by features s...
In order to ensure autonomous vehicles are safe for on-road deployment, simulation-based testing h...
OBJECTIVE: Social media-based public health research is crucial for epidemic surveillance, but most ...
3D object recognition is a challenging task for intelligent and robot systems in industrial and ho...
Prosthetic heart valve interventions such as TAVR have surged over the past decade, but the associ...
The energy consumption and the compute performance of a fluid dynamic code have been investigated ...
Behavior-disease models suggest that pandemics can be contained cost-effectively if individuals ta...
The adaptive immune response plays a vital role in eliminating infected and aberrant cells from the ...
SUMMARY: The increasing development of sequence-based machine learning models has raised the demand ...
While automated peak detection functionalities are available in commercially accessible software, ac...