Latest AI and machine learning research in covid-19 for healthcare professionals.
This app project was aimed to remotely deliver diagnoses and disease-progression information to COVI...
Despite the progress made during the last two decades in the surgery and chemotherapy of ovarian can...
COVID-19 has remained a threat to world life despite a recent reduction in cases. There is still a p...
Optimization of gene expression levels is an essential part of the organism design process. Fine con...
. Retinal fluid mainly includes intra-retinal fluid (IRF), sub-retinal fluid (SRF) and pigment epith...
Antibody engineering is becoming increasingly popular in medicine for the development of diagnostics...
Sentiment analysis is a Natural Language Processing (NLP) task concerned with opinions, attitudes, e...
As a key part of promoting the physical health of the people and promoting social progress, sports h...
While the advanced diagnostic tools and healthcare management protocols have been struggling to cont...
The main objective of this work is to develop and evaluate an artificial intelligence system based o...
T cell acute lymphoblastic leukemia (T-ALL) is invasive and heterogeneous, and existing therapies ar...
Artificial intelligence researchers conducted different studies to reduce the spread of COVID-19. Un...
The lungs are COVID-19's most important focus, as it induces inflammatory changes in the lungs that ...
We aimed to explore novel biomarkers involved in alterations of metabolism and gene expression relat...
The adaptive immune receptor repertoire consists of the entire set of an individual's BCRs and TCRs ...
Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity burden ...
A 43-year-old male Bell 214C helicopter pilot presented to the emergency ward with flu-like syndrome...
BACKGROUND: Due to increasing age and an increasing prevalence rate of neurocognitive disorders such...
Acoustic detection technology is a new method for early monitoring of wood-boring pests, and the eff...
Protein-ligand scoring functions are widely used in structure-based drug design for fast evaluation ...
This retrospective study aimed to develop and validate a deep learning model for the classification ...