Latest AI and machine learning research in covid-19 for healthcare professionals.
Fluorescence intravital microscopy captures large data sets of dynamic multicellular interactions wi...
Domain Generalization (DG) focuses on the Out-Of-Distribution (OOD) generalization, which is able to...
Seneca Valley virus (SVV) and foot-and-mouth disease virus (FMDV) belong to the Picornaviridae famil...
Dictionary learning is an important sparse representation algorithm which has been widely used in ma...
In this paper, a CNN-MLP model (CMM) is proposed for COVID-19 lesion segmentation and severity gradi...
Currently, Coronavirus Disease 2019 (COVID-19) is still endangering world health and safety and deep...
Chemical exchange saturation transfer (CEST) MRI at 3 T suffers from low specificity due to overlapp...
Cannabis is cultivated for therapeutic and recreational purposes where delta-9 tetrahydrocannabinol ...
As a common and critical medical image analysis task, deep learning based biomedical image segmentat...
Artificial intelligence can standardize and automatize highly demanding procedures, such as manual s...
This study explores the molecular alterations and disease progression in COVID-19 patients using ATR...
BACKGROUND: Exposure to air pollution is a major health problem worldwide. This study aimed to inves...
Many antimicrobial peptides directly disrupt bacterial membranes yet can also damage mammalian membr...
BACKGROUND: COVID-19-induced pneumonia has become a persistent health concern, with severe cases pos...
We propose a shape prior representation-constrained multi-scale features fusion segmentation network...
Chatbots can effect large-scale behaviour change because they are accessible through social media, f...
Several computational methods have been developed to identify neutralizing antibodies (NAbs) coverin...
With neuropsychiatric complications recognized among COVID-19 patients translating into significant ...
Nanobodies, derived from camelids and sharks, offer compact, single-variable heavy-chain antibodies ...
Affect recognition in a real-world, less constrained environment is the principal prerequisite of th...
BACKGROUND: Artificial intelligence (AI) chatbots have the potential to assist individuals with chro...