Latest AI and machine learning research in allergy & immunology for healthcare professionals.
In palynology, the visual classification of pollen grains from different species is a hard task whic...
Recombinant DNA technology has, in the last decades, contributed to a vast expansion of the use of p...
We have summarized the past efforts and results of objective measurement methods for conjunctival hy...
Since December 2019 the novel coronavirus SARS-CoV-2 has been identified as the cause of the pandemi...
Artificial intelligence, and more narrowly machine-learning, is beginning to expand humanity's capac...
Pediatric acute onset neuropsychiatric syndrome (PANS) is a clinically heterogeneous disorder prese...
Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregula...
PURPOSE: Although high T-cell density is a well-established favorable prognostic factor in colorecta...
The fast replication rate and lack of repair mechanisms of human immunodeficiency virus (HIV) contri...
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) durin...
The diagnostic possibilities of multiphoton tomography (MPT) in dermatology have already been demons...
Intelligent medical diagnosis has become common in the era of big data, although this technique has ...
A magnetic urchin-like microswimmer based on sunflower pollen grain (SPG) that can pierce the cancer...
We describe a novel method to achieve a universal, massive, and fully automated analysis of cell mot...
Lung malignancies have been extensively characterized through radiomics and deep learning. By provid...
A longstanding philosophical premise perceives simplicity as a desirable attribute of scientific the...
Incorporating expert knowledge at the time machine learning models are trained holds promise for pro...
In spite of the repertoire of existing cancer therapies, the ongoing recurrence and new cases of can...
The global healthcare landscape is continuously changing throughout the world as technology advances...
Sepsis is defined as dysregulated host response caused by systemic infection, leading to organ failu...
Quantifying the extent to which points are clustered in single-molecule localization microscopy data...