Latest AI and machine learning research in allergy for healthcare professionals.
Wearable electronics play a crucial role in advancing the rapid development of artificial intelligen...
We have developed a novel approach that involves inception-resnet network (IRN) modeling based on in...
In order to simplify the complexity of white blood cell classification in existing point-of-care tes...
The mechanisms underlying the resistance to immune checkpoint inhibitors (ICIs) therapy in metastati...
The amount of "big" data generated in clinical oncology, whether from molecular, imaging, pharmacolo...
In recent years, numerous applications have demonstrated the potential of deep learning for an impro...
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...
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 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...
In spite of the repertoire of existing cancer therapies, the ongoing recurrence and new cases of can...
BACKGROUND: The ability to confidently predict health outcomes from gene expression would catalyze a...
High-throughput screening and gene signature analyses frequently identify lead therapeutic compounds...