Latest AI and machine learning research in allergy for healthcare professionals.
Blood cell count provides relevant clinical information about different kinds of disorders. Any devi...
This study aimed to use computed tomography (CT) images to assess PD-L1 expression in non-small cel...
BACKGROUND: Personalized cancer vaccines are emerging as one of the most promising approaches to imm...
OBJECTIVES: Drug-drug interaction studies for hyaluronidase safety assessments have evaluated only a...
Contact dermatitis tremendously impacts the quality of life of suffering patients. Currently, diagno...
Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines ca...
CONTEXT: A new case of an allergic reaction due to the use of toothpaste was found in California, Un...
BACKGROUND: Omalizumab has demonstrated efficacy as an add-on therapy in Chinese patients with moder...
The RoScan is a novel, high-accuracy multispectral surface scanning system producing colored 3D mode...
IMPORTANCE: Although critical to patient safety, health care-related allergic reactions are challeng...
Taxonomic resolution is a major challenge in palynology, largely limiting the ecological and evoluti...
Exploring the interactions between the immune system and nanomaterials (NMs) is critical for designi...
Systemic corticosteroids are considered to be the standard treatment for allergic bronchopulmonary a...
Pollen identification and quantification are crucial but challenging tasks in addressing a variety o...
BACKGROUND: Atopic dermatitis (AD) is a chronic inflammatory skin disease with periods of flares and...
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...
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...