Latest AI and machine learning research in covid-19 for healthcare professionals.
Adaptive immunity is mediated by lymphocyte B and T cells, which respectively express a vast and div...
Developmental dysplasia of the hip (DDH) is a common orthopedic disease. A simple and cost-effective...
BACKGROUND: Breast cancer is amongst the 10 first causes of death in women worldwide. Around 20% of ...
This paper reports a colorimetric-fluorescent dual-signal lateral flow assay (LFA) based on vancomyc...
This paper examines the determinants of tourism stock returns in China from October 25, 2018, to Oct...
Genomic sequence variation within enhancers and promoters can have a significant impact on the cellu...
BACKGROUND: Controlling the COVID-19 outbreak in Brazil is a challenge due to the population's size ...
Morphologic examination of tissue biopsies is essential for histopathological diagnosis. However, ac...
While the applications of deep learning are considered revolutionary within several medical specialt...
Balancing selection is an important adaptive mechanism underpinning a wide range of phenotypes. Desp...
We have developed a novel method to predict the success of PCR amplification for a specific primer s...
Coronavirus disease 2019 (COVID-19) has been spread out all over the world. Although a real-time rev...
OBJECTIVES: During periods such as the COVID-19 crisis, there is a need for responsive public health...
The reverse transcription-polymerase chain reaction (RT-PCR) assay is the accepted standard for coro...
PURPOSE: Coronavirus disease-2019 (COVID-19) continues to be a global threat and remains a significa...
This paper presents a framework for automated optimization of double-heater convective PCR (DH-cPCR)...
High-throughput B-cell sequencing has opened up new avenues for investigating complex mechanisms und...
Imaging Mass Cytometry (IMC) combines laser ablation and mass spectrometry to quantitate metal-conju...
Convolutional neural network (CNN) has been leaping forward in recent years. However, the high dimen...
Pedestrian detection relying on deep convolution neural networks has made significant progress. Thou...
The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human ...