Latest AI and machine learning research in covid-19 for healthcare professionals.
Although there are a large number of structural variations in the chromosomes of each individual, th...
Deep learning is a promising tool that uses nonlinear transformations to extract features from high-...
MOTIVATION: Structural genomic variants account for much of human variability and are involved in se...
Vaccines have made gratifying progress in preventing the 2019 coronavirus disease (COVID-19) pandemi...
Antibodies specifically bind to antigens and are an essential part of the immune system. Hence, anti...
Pneumonia, especially corona virus disease 2019 (COVID-19), can lead to serious acute lung injury, a...
MOTIVATION: Antibodies are one of the most important classes of pharmaceuticals, with over 80 approv...
BACKGROUND: Coronavirus (COVID-19) is a group of infectious diseases caused by related viruses calle...
BACKGROUND: Chest computed tomography (CT) plays an important role in the diagnosis and assessment o...
Deep learning applied to antibody development is in its adolescence. Low data volumes and biological...
BACKGROUND: Coronavirus Disease 2019 (COVID-19) is contagious, producing respiratory tract infection...
BACKGROUND: Analysis of chest X-ray images is one of the primary standards in diagnosing patients wi...
OBJECTIVE: To determine the diagnostic accuracy of a deep-learning (DL)-based algorithm using chest ...
Parkinson's disease (PD) is a neurodegenerative disorder. Hence, there is a tremendous demand for ad...
PURPOSE: The aim of this study was to assess racial/ethnic and socioeconomic disparities in the diff...
Machine learning has been recently used to predict therapeutic antibody aggregation rates and viscos...
Despite recent advances in transgenic animal models and display technologies, humanization of mouse ...
This study aims to develop a deep learning (DL)-based (Mask R-CNN) method to predict the internal ta...
BACKGROUND: Although detection of COVID-19 from chest X-ray radiography (CXR) images is faster than ...
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs) are tremend...
Generative machine learning (ML) has been postulated to become a major driver in the computational d...